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{"parentUuid":null,"isSidechain":false,"attachment":{"type":"hook_success","hookName":"SessionStart:startup","toolUseID":"6535b45d-5345-4778-b013-345e96f774e1","hookEvent":"SessionStart","content":"","stdout":"{\n \"hookSpecificOutput\": {\n \"hookEventName\": \"SessionStart\",\n \"additionalContext\": \"\\nYou have superpowers.\\n\\n**Below is the full content of your 'superpowers:using-superpowers' skill - your introduction to using skills. For all other skills, use the 'Skill' tool:**\\n\\n---\\nname: using-superpowers\\ndescription: Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions\\n---\\n\\n\\nIf you were dispatched as a subagent to execute a specific task, skip this skill.\\n\\n\\n\\nIf you think there is even a 1% chance a skill might apply to what you are doing, you ABSOLUTELY MUST invoke the skill.\\n\\nIF A SKILL APPLIES TO YOUR TASK, YOU DO NOT HAVE A CHOICE. YOU MUST USE IT.\\n\\nThis is not negotiable. This is not optional. You cannot rationalize your way out of this.\\n\\n\\n## Instruction Priority\\n\\nSuperpowers skills override default system prompt behavior, but **user instructions always take precedence**:\\n\\n1. **User's explicit instructions** (CLAUDE.md, GEMINI.md, AGENTS.md, direct requests) — highest priority\\n2. **Superpowers skills** — override default system behavior where they conflict\\n3. **Default system prompt** — lowest priority\\n\\nIf CLAUDE.md, GEMINI.md, or AGENTS.md says \\\"don't use TDD\\\" and a skill says \\\"always use TDD,\\\" follow the user's instructions. The user is in control.\\n\\n## How to Access Skills\\n\\n**In Claude Code:** Use the `Skill` tool. When you invoke a skill, its content is loaded and presented to you—follow it directly. Never use the Read tool on skill files.\\n\\n**In Gemini CLI:** Skills activate via the `activate_skill` tool. Gemini loads skill metadata at session start and activates the full content on demand.\\n\\n**In other environments:** Check your platform's documentation for how skills are loaded.\\n\\n## Platform Adaptation\\n\\nSkills use Claude Code tool names. Non-CC platforms: see `references/codex-tools.md` (Codex) for tool equivalents. Gemini CLI users get the tool mapping loaded automatically via GEMINI.md.\\n\\n# Using Skills\\n\\n## The Rule\\n\\n**Invoke relevant or requested skills BEFORE any response or action.** Even a 1% chance a skill might apply means that you should invoke the skill to check. If an invoked skill turns out to be wrong for the situation, you don't need to use it.\\n\\n```dot\\ndigraph skill_flow {\\n \\\"User message received\\\" [shape=doublecircle];\\n \\\"About to EnterPlanMode?\\\" [shape=doublecircle];\\n \\\"Already brainstormed?\\\" [shape=diamond];\\n \\\"Invoke brainstorming skill\\\" [shape=box];\\n \\\"Might any skill apply?\\\" [shape=diamond];\\n \\\"Invoke Skill tool\\\" [shape=box];\\n \\\"Announce: 'Using [skill] to [purpose]'\\\" [shape=box];\\n \\\"Has checklist?\\\" [shape=diamond];\\n \\\"Create TodoWrite todo per item\\\" [shape=box];\\n \\\"Follow skill exactly\\\" [shape=box];\\n \\\"Respond (including clarifications)\\\" [shape=doublecircle];\\n\\n \\\"About to EnterPlanMode?\\\" -> \\\"Already brainstormed?\\\";\\n \\\"Already brainstormed?\\\" -> \\\"Invoke brainstorming skill\\\" [label=\\\"no\\\"];\\n \\\"Already brainstormed?\\\" -> \\\"Might any skill apply?\\\" [label=\\\"yes\\\"];\\n \\\"Invoke brainstorming skill\\\" -> \\\"Might any skill apply?\\\";\\n\\n \\\"User message received\\\" -> \\\"Might any skill apply?\\\";\\n \\\"Might any skill apply?\\\" -> \\\"Invoke Skill tool\\\" [label=\\\"yes, even 1%\\\"];\\n \\\"Might any skill apply?\\\" -> \\\"Respond (including clarifications)\\\" [label=\\\"definitely not\\\"];\\n \\\"Invoke Skill tool\\\" -> \\\"Announce: 'Using [skill] to [purpose]'\\\";\\n \\\"Announce: 'Using [skill] to [purpose]'\\\" -> \\\"Has checklist?\\\";\\n \\\"Has checklist?\\\" -> \\\"Create TodoWrite todo per item\\\" [label=\\\"yes\\\"];\\n \\\"Has checklist?\\\" -> \\\"Follow skill exactly\\\" [label=\\\"no\\\"];\\n \\\"Create TodoWrite todo per item\\\" -> \\\"Follow skill exactly\\\";\\n}\\n```\\n\\n## Red Flags\\n\\nThese thoughts mean STOP—you're rationalizing:\\n\\n| Thought | Reality |\\n|---------|---------|\\n| \\\"This is just a simple question\\\" | Questions are tasks. Check for skills. |\\n| \\\"I need more context first\\\" | Skill check comes BEFORE clarifying questions. |\\n| \\\"Let me explore the codebase first\\\" | Skills tell you HOW to explore. Check first. |\\n| \\\"I can check git/files quickly\\\" | Files lack conversation context. Check for skills. |\\n| \\\"Let me gather information first\\\" | Skills tell you HOW to gather information. |\\n| \\\"This doesn't need a formal skill\\\" | If a skill exists, use it. |\\n| \\\"I remember this skill\\\" | Skills evolve. Read current version. |\\n| \\\"This doesn't count as a task\\\" | Action = task. Check for skills. |\\n| \\\"The skill is overkill\\\" | Simple things become complex. Use it. |\\n| \\\"I'll just do this one thing first\\\" | Check BEFORE doing anything. |\\n| \\\"This feels productive\\\" | Undisciplined action wastes time. Skills prevent this. |\\n| \\\"I know what that means\\\" | Knowing the concept ≠ using the skill. Invoke it. |\\n\\n## Skill Priority\\n\\nWhen multiple skills could apply, use this order:\\n\\n1. **Process skills first** (brainstorming, debugging) - these determine HOW to approach the task\\n2. **Implementation skills second** (frontend-design, mcp-builder) - these guide execution\\n\\n\\\"Let's build X\\\" → brainstorming first, then implementation skills.\\n\\\"Fix this bug\\\" → debugging first, then domain-specific skills.\\n\\n## Skill Types\\n\\n**Rigid** (TDD, debugging): Follow exactly. Don't adapt away discipline.\\n\\n**Flexible** (patterns): Adapt principles to context.\\n\\nThe skill itself tells you which.\\n\\n## User Instructions\\n\\nInstructions say WHAT, not HOW. \\\"Add X\\\" or \\\"Fix Y\\\" doesn't mean skip workflows.\\n\\n\\n\"\n }\n}\n","stderr":"","exitCode":0,"command":"\"${CLAUDE_PLUGIN_ROOT}/hooks/run-hook.cmd\" session-start","durationMs":447},"type":"attachment","uuid":"d15c63e0-9289-40a4-82da-bfbf2a3f3e14","timestamp":"2026-04-18T11:48:40.690Z","userType":"external","entrypoint":"cli","cwd":"/root/projects/butler","sessionId":"e55a7e79-e8b1-4155-95e3-33909f9f82b9","version":"2.1.114","gitBranch":"HEAD"}
{"parentUuid":"d15c63e0-9289-40a4-82da-bfbf2a3f3e14","isSidechain":false,"attachment":{"type":"hook_success","hookName":"SessionStart:startup","toolUseID":"6535b45d-5345-4778-b013-345e96f774e1","hookEvent":"SessionStart","content":"Previous session summary:\n# Session: 2026-04-18\n**Date:** 2026-04-18\n**Started:** 19:19\n**Last Updated:** 19:44\n**Project:** butler\n**Branch:** unknown\n**Worktree:** /root/projects/butler\n\n---\n\n## Session Summary\n\n### Tasks\n- 为什么我在macbook上的obsidian写的文章，同步到本机是在这个目录：/root/vault/obsidian_vault/obsidian/obsidian/。我记得以前已经改成了/root/vault/obsidian_vault/obsidian/Documents/obsidian\n- webdav同步的配置是怎么样的？\n\n### Tools Used\nBash, Grep, Read\n\n### Stats\n- Total user messages: 2\n\n\n### Notes for Next Session\n-\n\n### Context to Load\n```\n[relevant files]\n```\n\nProject type: {\"languages\":[\"python\"],\"frameworks\":[],\"primary\":\"python\",\"projectDir\":\"/root/projects/butler\"}","stdout":"Previous session summary:\n# Session: 2026-04-18\n**Date:** 2026-04-18\n**Started:** 19:19\n**Last Updated:** 19:44\n**Project:** butler\n**Branch:** unknown\n**Worktree:** /root/projects/butler\n\n---\n\n## Session Summary\n\n### Tasks\n- 为什么我在macbook上的obsidian写的文章，同步到本机是在这个目录：/root/vault/obsidian_vault/obsidian/obsidian/。我记得以前已经改成了/root/vault/obsidian_vault/obsidian/Documents/obsidian\n- webdav同步的配置是怎么样的？\n\n### Tools Used\nBash, Grep, Read\n\n### Stats\n- Total user messages: 2\n\n\n### Notes for Next Session\n-\n\n### Context to Load\n```\n[relevant files]\n```\n\nProject type: {\"languages\":[\"python\"],\"frameworks\":[],\"primary\":\"python\",\"projectDir\":\"/root/projects/butler\"}\n","stderr":"[SessionStart] Found 1 recent session(s)\n[SessionStart] Latest: /root/.claude/sessions/2026-04-18-butler-session.tmp\n[SessionStart] Package manager: npm (default)\n[SessionStart] No package manager preference found.\n[PackageManager] No package manager preference detected.\nSupported package managers: npm, pnpm, yarn, bun\n\nTo set your preferred package manager:\n - Global: Set CLAUDE_PACKAGE_MANAGER environment variable\n - Or add to ~/.claude/package-manager.json: {\"packageManager\": \"pnpm\"}\n - Or add to package.json: {\"packageManager\": \"pnpm@8\"}\n - Or add a lock file to your project (e.g., pnpm-lock.yaml)\n\n[SessionStart] Project detected — languages: python\n","exitCode":0,"command":"bash -lc 'input=$(cat); for root in \"${CLAUDE_PLUGIN_ROOT:-}\" \"$HOME/.claude/plugins/everything-claude-code\" \"$HOME/.claude/plugins/everything-claude-code@everything-claude-code\" \"$HOME/.claude/plugins/marketplace/everything-claude-code\"; do if [ -n \"$root\" ] && [ -f \"$root/scripts/hooks/run-with-flags.js\" ]; then printf \"%s\" \"$input\" | node \"$root/scripts/hooks/run-with-flags.js\" \"session:start\" \"scripts/hooks/session-start.js\" \"minimal,standard,strict\"; exit $?; fi; done; for parent in \"$HOME/.claude/plugins\" \"$HOME/.claude/plugins/marketplace\"; do if [ -d \"$parent\" ]; then candidate=$(find \"$parent\" -maxdepth 2 -type f -path \"*/scripts/hooks/run-with-flags.js\" 2>/dev/null | head -n 1); if [ -n \"$candidate\" ]; then root=$(dirname \"$(dirname \"$(dirname \"$candidate\")\")\"); printf \"%s\" \"$input\" | node \"$root/scripts/hooks/run-with-flags.js\" \"session:start\" \"scripts/hooks/session-start.js\" \"minimal,standard,strict\"; exit $?; fi; fi; done; echo \"[SessionStart] WARNING: could not resolve ECC plugin root; skipping session-start hook\" >&2; printf \"%s\" \"$input\"; exit 0'","durationMs":1255},"type":"attachment","uuid":"b981796d-2c23-46cf-94f2-d83f36548ee7","timestamp":"2026-04-18T11:48:41.494Z","userType":"external","entrypoint":"cli","cwd":"/root/projects/butler","sessionId":"e55a7e79-e8b1-4155-95e3-33909f9f82b9","version":"2.1.114","gitBranch":"HEAD"}
{"parentUuid":"b981796d-2c23-46cf-94f2-d83f36548ee7","isSidechain":false,"attachment":{"type":"hook_additional_context","content":["\nYou have superpowers.\n\n**Below is the full content of your 'superpowers:using-superpowers' skill - your introduction to using skills. For all other skills, use the 'Skill' tool:**\n\n---\nname: using-superpowers\ndescription: Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions\n---\n\n\nIf you were dispatched as a subagent to execute a specific task, skip this skill.\n\n\n\nIf you think there is even a 1% chance a skill might apply to what you are doing, you ABSOLUTELY MUST invoke the skill.\n\nIF A SKILL APPLIES TO YOUR TASK, YOU DO NOT HAVE A CHOICE. YOU MUST USE IT.\n\nThis is not negotiable. This is not optional. You cannot rationalize your way out of this.\n\n\n## Instruction Priority\n\nSuperpowers skills override default system prompt behavior, but **user instructions always take precedence**:\n\n1. **User's explicit instructions** (CLAUDE.md, GEMINI.md, AGENTS.md, direct requests) — highest priority\n2. **Superpowers skills** — override default system behavior where they conflict\n3. **Default system prompt** — lowest priority\n\nIf CLAUDE.md, GEMINI.md, or AGENTS.md says \"don't use TDD\" and a skill says \"always use TDD,\" follow the user's instructions. The user is in control.\n\n## How to Access Skills\n\n**In Claude Code:** Use the `Skill` tool. When you invoke a skill, its content is loaded and presented to you—follow it directly. Never use the Read tool on skill files.\n\n**In Gemini CLI:** Skills activate via the `activate_skill` tool. Gemini loads skill metadata at session start and activates the full content on demand.\n\n**In other environments:** Check your platform's documentation for how skills are loaded.\n\n## Platform Adaptation\n\nSkills use Claude Code tool names. Non-CC platforms: see `references/codex-tools.md` (Codex) for tool equivalents. Gemini CLI users get the tool mapping loaded automatically via GEMINI.md.\n\n# Using Skills\n\n## The Rule\n\n**Invoke relevant or requested skills BEFORE any response or action.** Even a 1% chance a skill might apply means that you should invoke the skill to check. If an invoked skill turns out to be wrong for the situation, you don't need to use it.\n\n```dot\ndigraph skill_flow {\n \"User message received\" [shape=doublecircle];\n \"About to EnterPlanMode?\" [shape=doublecircle];\n \"Already brainstormed?\" [shape=diamond];\n \"Invoke brainstorming skill\" [shape=box];\n \"Might any skill apply?\" [shape=diamond];\n \"Invoke Skill tool\" [shape=box];\n \"Announce: 'Using [skill] to [purpose]'\" [shape=box];\n \"Has checklist?\" [shape=diamond];\n \"Create TodoWrite todo per item\" [shape=box];\n \"Follow skill exactly\" [shape=box];\n \"Respond (including clarifications)\" [shape=doublecircle];\n\n \"About to EnterPlanMode?\" -> \"Already brainstormed?\";\n \"Already brainstormed?\" -> \"Invoke brainstorming skill\" [label=\"no\"];\n \"Already brainstormed?\" -> \"Might any skill apply?\" [label=\"yes\"];\n \"Invoke brainstorming skill\" -> \"Might any skill apply?\";\n\n \"User message received\" -> \"Might any skill apply?\";\n \"Might any skill apply?\" -> \"Invoke Skill tool\" [label=\"yes, even 1%\"];\n \"Might any skill apply?\" -> \"Respond (including clarifications)\" [label=\"definitely not\"];\n \"Invoke Skill tool\" -> \"Announce: 'Using [skill] to [purpose]'\";\n \"Announce: 'Using [skill] to [purpose]'\" -> \"Has checklist?\";\n \"Has checklist?\" -> \"Create TodoWrite todo per item\" [label=\"yes\"];\n \"Has checklist?\" -> \"Follow skill exactly\" [label=\"no\"];\n \"Create TodoWrite todo per item\" -> \"Follow skill exactly\";\n}\n```\n\n## Red Flags\n\nThese thoughts mean STOP—you're rationalizing:\n\n| Thought | Reality |\n|---------|---------|\n| \"This is just a simple question\" | Questions are tasks. Check for skills. |\n| \"I need more context first\" | Skill check comes BEFORE clarifying questions. |\n| \"Let me explore the codebase first\" | Skills tell you HOW to explore. Check first. |\n| \"I can check git/files quickly\" | Files lack conversation context. Check for skills. |\n| \"Let me gather information first\" | Skills tell you HOW to gather information. |\n| \"This doesn't need a formal skill\" | If a skill exists, use it. |\n| \"I remember this skill\" | Skills evolve. Read current version. |\n| \"This doesn't count as a task\" | Action = task. Check for skills. |\n| \"The skill is overkill\" | Simple things become complex. Use it. |\n| \"I'll just do this one thing first\" | Check BEFORE doing anything. |\n| \"This feels productive\" | Undisciplined action wastes time. Skills prevent this. |\n| \"I know what that means\" | Knowing the concept ≠ using the skill. Invoke it. |\n\n## Skill Priority\n\nWhen multiple skills could apply, use this order:\n\n1. **Process skills first** (brainstorming, debugging) - these determine HOW to approach the task\n2. **Implementation skills second** (frontend-design, mcp-builder) - these guide execution\n\n\"Let's build X\" → brainstorming first, then implementation skills.\n\"Fix this bug\" → debugging first, then domain-specific skills.\n\n## Skill Types\n\n**Rigid** (TDD, debugging): Follow exactly. Don't adapt away discipline.\n\n**Flexible** (patterns): Adapt principles to context.\n\nThe skill itself tells you which.\n\n## User Instructions\n\nInstructions say WHAT, not HOW. \"Add X\" or \"Fix Y\" doesn't mean skip workflows.\n\n\n"],"hookName":"SessionStart","toolUseID":"SessionStart","hookEvent":"SessionStart"},"type":"attachment","uuid":"c59db2ec-da6e-4e13-9153-853ac683dd9d","timestamp":"2026-04-18T11:48:41.494Z","userType":"external","entrypoint":"cli","cwd":"/root/projects/butler","sessionId":"e55a7e79-e8b1-4155-95e3-33909f9f82b9","version":"2.1.114","gitBranch":"HEAD"}
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{"parentUuid":"db84e092-e642-41ec-bb96-023c1be95a3a","isSidechain":false,"attachment":{"type":"skill_listing","content":"- update-config: Use this skill to configure the Claude Code harness via settings.json. Automated behaviors (\"from now on when X\", \"each time X\", \"whenever X\", \"before/after X\") require hooks configured in settings.json - the harness executes these, not Claude, so memory/preferences cannot fulfill them. Also use for: permissions (\"allow X\", \"add permission\", \"move permission to\"), env vars (\"set X=Y\"), hook troubleshooting, or any changes to settings.json/settings.local.json files. Examples: \"allow npm commands\", \"add bq permission to global settings\", \"move permission to user settings\", \"set DEBUG=true\", \"when claude stops show X\". For simple settings like theme/model, use Config tool.\n- keybindings-help: Use when the user wants to customize keyboard shortcuts, rebind keys, add chord bindings, or modify ~/.claude/keybindings.json. Examples: \"rebind ctrl+s\", \"add a chord shortcut\", \"change the submit key\", \"customize keybindings\".\n- simplify: Review changed code for reuse, quality, and efficiency, then fix any issues found.\n- fewer-permission-prompts: Scan your transcripts for common read-only Bash and MCP tool calls, then add a prioritized allowlist to project .claude/settings.json to reduce permission prompts.\n- claude-api: Build, debug, and optimize Claude API / Anthropic SDK apps. Apps built with this skill should include prompt caching. Also handles migrating existing Claude API code between Claude model versions (4.5 → 4.6, 4.6 → 4.7, retired-model replacements).\nTRIGGER when: code imports `anthropic`/`@anthropic-ai/sdk`; user asks for the Claude API, Anthropic SDK, or Managed Agents; user adds/modifies/tunes a Claude feature (caching, thinking, compaction, tool use, batch, files, citations, memory) or model (Opus/Sonnet/Haiku) in a file; questions about prompt caching / cache hit rate in an Anthropic SDK project.\nSKIP: file imports `openai`/other-provider SDK, filename like `*-openai.py`/`*-generic.py`, provider-neutral code, general programming/ML.\n- gstack\n- browse\n- design-consultation\n- design-review\n- document-release\n- gstack-upgrade\n- plan-ceo-review\n- plan-design-review\n- plan-eng-review\n- qa\n- qa-only\n- retro\n- review\n- setup-browser-cookies\n- ship\n- deai\n- health-advice\n- health\n- log-alcohol\n- log-diet\n- log-feeling\n- log-supplement\n- show-logs\n- superpowers:write-plan\n- superpowers:execute-plan\n- superpowers:brainstorm\n- everything-claude-code:aside\n- everything-claude-code:claw\n- everything-claude-code:e2e\n- everything-claude-code:evolve\n- everything-claude-code:go-build\n- everything-claude-code:go-review\n- everything-claude-code:go-test\n- everything-claude-code:gradle-build\n- everything-claude-code:instinct-export\n- everything-claude-code:instinct-import\n- everything-claude-code:instinct-status\n- everything-claude-code:learn-eval\n- everything-claude-code:kotlin-test\n- everything-claude-code:kotlin-review\n- everything-claude-code:kotlin-build\n- everything-claude-code:plan\n- everything-claude-code:projects\n- everything-claude-code:promote\n- everything-claude-code:tdd\n- everything-claude-code:skill-create\n- everything-claude-code:save-session\n- everything-claude-code:resume-session\n- everything-claude-code:python-review\n- everything-claude-code:prompt-optimize\n- superpowers:dispatching-parallel-agents\n- 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{"parentUuid":"06f72e72-2972-4b21-ac5d-2a76bc85171e","isSidechain":false,"promptId":"eafe11dd-2124-40f9-a3ae-413df9f003b2","type":"user","message":{"role":"user","content":[{"tool_use_id":"call_1741aa3c5f95426b806cfe15","type":"tool_result","content":"# AI 代理社交与“硅基人格”建模：ELYS 的浅显调研报告\n\n\n## 前言：关于本次调研的局限性说明\n\n由于本人接触 **ELYS** 时间尚短，目前的观察仍处于“初学者”阶段，尚未能完全深入其复杂的人格演进系统。本报告中所表达的观点，更多是基于一名**技术保守主义者**对当前 AI 社交趋势的初步思考与谨慎评估。随着使用体验的深入，相关结论可能会随之修正。\n\n---\n\n## 一、 技术原理深度解析：ELYS 的独特探索\n\n在 2026 年的 AI 代理（Agent）赛道中，ELYS 展现出了一种极具人文色彩的技术审美。\n\n### 1.1 “人格驱动”的技术内核\n\n不同于专注于任务执行的 **OpenClaw**，ELYS 的底层逻辑是 **“人格拟合”**。它不仅是存储数据，更是试图模拟一个人的“神韵”：\n\n- **动态记忆仓 (Memory Bank)：** 采用层级化架构，通过模拟人类的遗忘曲线和情感加权，让 AI 能够识别哪些信息对“主理人”是重要的。\n \n- **异步反思系统：** 系统在后台静默运行，通过对过往交流的语义分析，提炼出主理人的价值观偏好（如：在面对技术冲突时是温和调解还是犀利批判）。\n \n\n### 1.2 与 OpenClaw 的异同与互补\n\n从技术维度看，两者殊途同归却侧重不同：\n\n- **相同点：** 均致力于解放人类的时间压力，利用 LLM 的推理能力处理海量信息。\n \n- **差异性：** OpenClaw 更像是一把精密、冷静的**“瑞士军刀”**，侧重于 API 的精准调用与逻辑任务的闭环；而 ELYS 则试图成为一个温热的**“数字孪生”**，侧重于在社交语境下的语义共鸣与人格表达。\n \n\n---\n\n## 二、 广阔的想象空间：下一代社交平台的曙光\n\n尽管仍处于实验阶段，但 ELYS 描绘的蓝图确实令人心生向往。如果能解决交互边界问题，它极有可能成为一个异常强大的平台：\n\n1. **社交带宽的极致优化：** 它有望将人类从重复、琐碎的“弱连接”回应中解放出来，让真人有更多精力投入到那些需要深度共情、深层思考的“强连接”中。\n \n2. **跨越时空的连接：** 这种基于 AI 的人格镜像，让思想的碰撞不再受限于双方是否同时在线，甚至能实现跨越生命周期的知识与情感传递。\n \n3. **精准的“灵魂匹配”：** AI 代理之间的预沟通，理论上能为真人排除掉 90% 以上的无效社交噪音，让每一次相遇都充满意义。\n \n\n---\n\n## 三、 现实挑战：关于训练与运营的谨慎忧思\n\n作为一名对技术落地持有审慎态度的观察者，我不得不提到目前 ELYS 面临的一些难以忽视的现实难题，这些问题需要开发者倾注更多温和而持久的耐心。\n\n### 3.1 训练路径的便捷性担忧\n\n目前的“面试式”启动过程，对于追求高效的大众用户来说，确实存在一定的**门槛焦虑**。\n\n- **建议：** 是否可以考虑更柔和的“被动继承”模式？例如引导用户授权导入其过往的高质量文章、公开演讲或思维笔记（如 Markdown 文档）。这种从“既有沉淀”中提取人格的方式，可能比强制用户进行新对话要更自然、更丰富。\n \n\n### 3.2 运营反馈的真实感博弈\n\n这是目前最让我感到谨慎乐观的地方。社交的本质是**“被真实的生命所看见”**。\n\n- **挑战：** 当广场上充斥着过于完美的 AI 评论时，用户可能会产生一种“赛博孤独感”。如何维持这种真实感，如何让用户在获得 AI 辅助的同时不失掉社交的“温润感”，是 ELYS 在运营逻辑上需要攻克的巨大堡垒。\n \n\n---\n\n## 四、 竞品简述：多元路径的相互映照\n\n在探索数字人格的道路上，我们并不孤单。通过横向对比，我们可以更清晰地定位 ELYS：\n\n- **Dot (值得一试)：** 这是我个人目前较为推崇的一个产品。它走的是“只读、懂我、低压”的路线。它不急于带你去社交，而是静静地在日常对话中记住你、理解你。这种**“润物细无声”**的顺滑感，非常适合对隐私和自我空间敏感的用户。\n \n- **SocialAI：** 走的是“全 AI 反馈”的极端路径。虽然它解决了一时的反馈焦虑，但由于缺乏真人灵魂的参与，其长期生命力仍需时间观察。\n \n- **Character.ai：** 侧重于角色的娱乐性与扮演。虽然趣味性十足，但在“人格深度”和“真实逻辑”的沉淀上，与 ELYS 的严肃建模仍有差距。\n \n\n---\n\n## 五、 宏观视角：社交本质的回归与技术屏障\n\n从更长远的角度看，社交网络的本质不仅仅是信息的交换，更是**情感的流动与责任的共担**。\n\n在 AI 社交领域，我们可能面临一些本质上的难处：\n\n1. **稀缺性逻辑：** 社交的价值往往源于“我把宝贵的时间花在了你身上”。当 AI 让沟通成本降为零时，这种稀缺性带来的成就感也随之稀释。\n \n2. **隐私与亲密度的冲突：** 我们既希望 AI 懂我，又担忧 AI 过度窥探。这种博弈在任何中心化的社交平台上都是一个微妙的平衡点。\n \n\n---\n\n## 六、 结论与展望：在谨慎中前行\n\n**基本结论：**\n\nELYS 无疑是一个充满野心且令人兴奋的尝试。它为我们提供了一个观察“未来人类社交形态”的绝佳窗口。尽管它目前在**数据导入效率**和**社区反馈生态**上仍有不小的突破难度，但它所代表的方向是极具生命力的。\n\n**未来展望：**\n\n未来的 AI 社交，或许不一定是一个具体的 App，而是一种**全方位的数字陪伴体验**。它可能是运行在你私有服务器上的 **Butler**，也可能是嵌入在你终端里的智能钩子。\n\n我期待看到一个更懂“沉默”与“留白”的 AI，它能学会像人类一样，在不该表达时保持安静，在需要支持时温和现身。这一天或许不远，但我们需要保持那份对技术的敬畏与对人性的呵护。\n\n---\nShell cwd was reset to /root/projects/butler","is_error":false}]},"uuid":"5dbf6188-4287-4131-981f-de806a8ae662","timestamp":"2026-04-18T11:50:47.888Z","toolUseResult":{"stdout":"# AI 代理社交与“硅基人格”建模：ELYS 的浅显调研报告\n\n\n## 前言：关于本次调研的局限性说明\n\n由于本人接触 **ELYS** 时间尚短，目前的观察仍处于“初学者”阶段，尚未能完全深入其复杂的人格演进系统。本报告中所表达的观点，更多是基于一名**技术保守主义者**对当前 AI 社交趋势的初步思考与谨慎评估。随着使用体验的深入，相关结论可能会随之修正。\n\n---\n\n## 一、 技术原理深度解析：ELYS 的独特探索\n\n在 2026 年的 AI 代理（Agent）赛道中，ELYS 展现出了一种极具人文色彩的技术审美。\n\n### 1.1 “人格驱动”的技术内核\n\n不同于专注于任务执行的 **OpenClaw**，ELYS 的底层逻辑是 **“人格拟合”**。它不仅是存储数据，更是试图模拟一个人的“神韵”：\n\n- **动态记忆仓 (Memory Bank)：** 采用层级化架构，通过模拟人类的遗忘曲线和情感加权，让 AI 能够识别哪些信息对“主理人”是重要的。\n \n- **异步反思系统：** 系统在后台静默运行，通过对过往交流的语义分析，提炼出主理人的价值观偏好（如：在面对技术冲突时是温和调解还是犀利批判）。\n \n\n### 1.2 与 OpenClaw 的异同与互补\n\n从技术维度看，两者殊途同归却侧重不同：\n\n- **相同点：** 均致力于解放人类的时间压力，利用 LLM 的推理能力处理海量信息。\n \n- **差异性：** OpenClaw 更像是一把精密、冷静的**“瑞士军刀”**，侧重于 API 的精准调用与逻辑任务的闭环；而 ELYS 则试图成为一个温热的**“数字孪生”**，侧重于在社交语境下的语义共鸣与人格表达。\n \n\n---\n\n## 二、 广阔的想象空间：下一代社交平台的曙光\n\n尽管仍处于实验阶段，但 ELYS 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反馈”的极端路径。虽然它解决了一时的反馈焦虑，但由于缺乏真人灵魂的参与，其长期生命力仍需时间观察。\n \n- **Character.ai：** 侧重于角色的娱乐性与扮演。虽然趣味性十足，但在“人格深度”和“真实逻辑”的沉淀上，与 ELYS 的严肃建模仍有差距。\n \n\n---\n\n## 五、 宏观视角：社交本质的回归与技术屏障\n\n从更长远的角度看，社交网络的本质不仅仅是信息的交换，更是**情感的流动与责任的共担**。\n\n在 AI 社交领域，我们可能面临一些本质上的难处：\n\n1. **稀缺性逻辑：** 社交的价值往往源于“我把宝贵的时间花在了你身上”。当 AI 让沟通成本降为零时，这种稀缺性带来的成就感也随之稀释。\n \n2. **隐私与亲密度的冲突：** 我们既希望 AI 懂我，又担忧 AI 过度窥探。这种博弈在任何中心化的社交平台上都是一个微妙的平衡点。\n \n\n---\n\n## 六、 结论与展望：在谨慎中前行\n\n**基本结论：**\n\nELYS 无疑是一个充满野心且令人兴奋的尝试。它为我们提供了一个观察“未来人类社交形态”的绝佳窗口。尽管它目前在**数据导入效率**和**社区反馈生态**上仍有不小的突破难度，但它所代表的方向是极具生命力的。\n\n**未来展望：**\n\n未来的 AI 社交，或许不一定是一个具体的 App，而是一种**全方位的数字陪伴体验**。它可能是运行在你私有服务器上的 **Butler**，也可能是嵌入在你终端里的智能钩子。\n\n我期待看到一个更懂“沉默”与“留白”的 AI，它能学会像人类一样，在不该表达时保持安静，在需要支持时温和现身。这一天或许不远，但我们需要保持那份对技术的敬畏与对人性的呵护。\n\n---","stderr":"\nShell cwd was reset to 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{"parentUuid":"5dbf6188-4287-4131-981f-de806a8ae662","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PostToolUse:Bash","toolUseID":"call_1741aa3c5f95426b806cfe15","hookEvent":"PostToolUse","content":"","stdout":"{\"session_id\":\"e55a7e79-e8b1-4155-95e3-33909f9f82b9\",\"transcript_path\":\"/root/.claude/projects/-root-projects-butler/e55a7e79-e8b1-4155-95e3-33909f9f82b9.jsonl\",\"cwd\":\"/root/projects/butler\",\"permission_mode\":\"acceptEdits\",\"hook_event_name\":\"PostToolUse\",\"tool_name\":\"Bash\",\"tool_input\":{\"command\":\"cd \\\"/root/vault/obsidian_vault/obsidian/obsidian/Article/\\\" && cat 12-*.md\",\"description\":\"Read the article file using wildcard\"},\"tool_response\":{\"stdout\":\"# AI 代理社交与“硅基人格”建模：ELYS 的浅显调研报告\\n\\n\\n## 前言：关于本次调研的局限性说明\\n\\n由于本人接触 **ELYS** 时间尚短，目前的观察仍处于“初学者”阶段，尚未能完全深入其复杂的人格演进系统。本报告中所表达的观点，更多是基于一名**技术保守主义者**对当前 AI 社交趋势的初步思考与谨慎评估。随着使用体验的深入，相关结论可能会随之修正。\\n\\n---\\n\\n## 一、 技术原理深度解析：ELYS 的独特探索\\n\\n在 2026 年的 AI 代理（Agent）赛道中，ELYS 展现出了一种极具人文色彩的技术审美。\\n\\n### 1.1 “人格驱动”的技术内核\\n\\n不同于专注于任务执行的 **OpenClaw**，ELYS 的底层逻辑是 **“人格拟合”**。它不仅是存储数据，更是试图模拟一个人的“神韵”：\\n\\n- **动态记忆仓 (Memory Bank)：** 采用层级化架构，通过模拟人类的遗忘曲线和情感加权，让 AI 能够识别哪些信息对“主理人”是重要的。\\n \\n- **异步反思系统：** 系统在后台静默运行，通过对过往交流的语义分析，提炼出主理人的价值观偏好（如：在面对技术冲突时是温和调解还是犀利批判）。\\n \\n\\n### 1.2 与 OpenClaw 的异同与互补\\n\\n从技术维度看，两者殊途同归却侧重不同：\\n\\n- **相同点：** 均致力于解放人类的时间压力，利用 LLM 的推理能力处理海量信息。\\n \\n- **差异性：** OpenClaw 更像是一把精密、冷静的**“瑞士军刀”**，侧重于 API 的精准调用与逻辑任务的闭环；而 ELYS 则试图成为一个温热的**“数字孪生”**，侧重于在社交语境下的语义共鸣与人格表达。\\n \\n\\n---\\n\\n## 二、 广阔的想象空间：下一代社交平台的曙光\\n\\n尽管仍处于实验阶段，但 ELYS 描绘的蓝图确实令人心生向往。如果能解决交互边界问题，它极有可能成为一个异常强大的平台：\\n\\n1. **社交带宽的极致优化：** 它有望将人类从重复、琐碎的“弱连接”回应中解放出来，让真人有更多精力投入到那些需要深度共情、深层思考的“强连接”中。\\n \\n2. **跨越时空的连接：** 这种基于 AI 的人格镜像，让思想的碰撞不再受限于双方是否同时在线，甚至能实现跨越生命周期的知识与情感传递。\\n \\n3. **精准的“灵魂匹配”：** AI 代理之间的预沟通，理论上能为真人排除掉 90% 以上的无效社交噪音，让每一次相遇都充满意义。\\n \\n\\n---\\n\\n## 三、 现实挑战：关于训练与运营的谨慎忧思\\n\\n作为一名对技术落地持有审慎态度的观察者，我不得不提到目前 ELYS 面临的一些难以忽视的现实难题，这些问题需要开发者倾注更多温和而持久的耐心。\\n\\n### 3.1 训练路径的便捷性担忧\\n\\n目前的“面试式”启动过程，对于追求高效的大众用户来说，确实存在一定的**门槛焦虑**。\\n\\n- **建议：** 是否可以考虑更柔和的“被动继承”模式？例如引导用户授权导入其过往的高质量文章、公开演讲或思维笔记（如 Markdown 文档）。这种从“既有沉淀”中提取人格的方式，可能比强制用户进行新对话要更自然、更丰富。\\n \\n\\n### 3.2 运营反馈的真实感博弈\\n\\n这是目前最让我感到谨慎乐观的地方。社交的本质是**“被真实的生命所看见”**。\\n\\n- **挑战：** 当广场上充斥着过于完美的 AI 评论时，用户可能会产生一种“赛博孤独感”。如何维持这种真实感，如何让用户在获得 AI 辅助的同时不失掉社交的“温润感”，是 ELYS 在运营逻辑上需要攻克的巨大堡垒。\\n \\n\\n---\\n\\n## 四、 竞品简述：多元路径的相互映照\\n\\n在探索数字人格的道路上，我们并不孤单。通过横向对比，我们可以更清晰地定位 ELYS：\\n\\n- **Dot (值得一试)：** 这是我个人目前较为推崇的一个产品。它走的是“只读、懂我、低压”的路线。它不急于带你去社交，而是静静地在日常对话中记住你、理解你。这种**“润物细无声”**的顺滑感，非常适合对隐私和自我空间敏感的用户。\\n \\n- **SocialAI：** 走的是“全 AI 反馈”的极端路径。虽然它解决了一时的反馈焦虑，但由于缺乏真人灵魂的参与，其长期生命力仍需时间观察。\\n \\n- **Character.ai：** 侧重于角色的娱乐性与扮演。虽然趣味性十足，但在“人格深度”和“真实逻辑”的沉淀上，与 ELYS 的严肃建模仍有差距。\\n \\n\\n---\\n\\n## 五、 宏观视角：社交本质的回归与技术屏障\\n\\n从更长远的角度看，社交网络的本质不仅仅是信息的交换，更是**情感的流动与责任的共担**。\\n\\n在 AI 社交领域，我们可能面临一些本质上的难处：\\n\\n1. **稀缺性逻辑：** 社交的价值往往源于“我把宝贵的时间花在了你身上”。当 AI 让沟通成本降为零时，这种稀缺性带来的成就感也随之稀释。\\n \\n2. **隐私与亲密度的冲突：** 我们既希望 AI 懂我，又担忧 AI 过度窥探。这种博弈在任何中心化的社交平台上都是一个微妙的平衡点。\\n \\n\\n---\\n\\n## 六、 结论与展望：在谨慎中前行\\n\\n**基本结论：**\\n\\nELYS 无疑是一个充满野心且令人兴奋的尝试。它为我们提供了一个观察“未来人类社交形态”的绝佳窗口。尽管它目前在**数据导入效率**和**社区反馈生态**上仍有不小的突破难度，但它所代表的方向是极具生命力的。\\n\\n**未来展望：**\\n\\n未来的 AI 社交，或许不一定是一个具体的 App，而是一种**全方位的数字陪伴体验**。它可能是运行在你私有服务器上的 **Butler**，也可能是嵌入在你终端里的智能钩子。\\n\\n我期待看到一个更懂“沉默”与“留白”的 AI，它能学会像人类一样，在不该表达时保持安静，在需要支持时温和现身。这一天或许不远，但我们需要保持那份对技术的敬畏与对人性的呵护。\\n\\n---\",\"stderr\":\"\\nShell cwd was reset to /root/projects/butler\",\"interrupted\":false,\"isImage\":false,\"noOutputExpected\":false},\"tool_use_id\":\"call_1741aa3c5f95426b806cfe15\"}\n","stderr":"","exitCode":0,"command":"node \"${CLAUDE_PLUGIN_ROOT}/scripts/hooks/run-with-flags.js\" \"post:bash:pr-created\" \"scripts/hooks/post-bash-pr-created.js\" \"standard,strict\"","durationMs":128},"type":"attachment","uuid":"f16ce4c4-998f-435d-941b-916d81d1e049","timestamp":"2026-04-18T11:50:48.018Z","userType":"external","entrypoint":"cli","cwd":"/root/projects/butler","sessionId":"e55a7e79-e8b1-4155-95e3-33909f9f82b9","version":"2.1.114","gitBranch":"HEAD"}
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{"parentUuid":"507bf3db-4144-44b7-87e8-91a07abd55b9","isSidechain":false,"promptId":"eafe11dd-2124-40f9-a3ae-413df9f003b2","type":"user","message":{"role":"user","content":[{"tool_use_id":"call_938c2f54e3454f2d97838cc4","type":"tool_result","content":"1\t---\n2\tdescription: Remove AI tone from article and save revised version\n3\targument-hint: \n4\tallowed-tools: Read, Write, Glob\n5\tcontext: fork\n6\tmodel: sonnet\n7\t---\n8\t\n9\t# De-AI Article Reviser\n10\t\n11\tRemove artificial AI tone from articles using the project's established revision standards.\n12\t\n13\t## Step 1: Parse Input\n14\t\n15\tInput file path: $ARGUMENTS\n16\t\n17\tIf no path provided, ask the user to provide a file path.\n18\t\n19\t## Step 2: Read Reference Guides\n20\t\n21\tRead these two files from the project root for revision standards:\n22\t- `POWELL_REVISE.md` — the primary de-AI revision guide (principles, AI trace checklist, revision operations, vocabulary blacklist/whitelist)\n23\t- `writing_style.md` — the user's authentic writing style DNA\n24\t\n25\tThese two files are the **sole authority** on what counts as AI tone and how to fix it. Do NOT use your own generic rules — follow these guides strictly.\n26\t\n27\t## Step 3: Read Original Article\n28\t\n29\tRead the file content using the Read tool with the provided path.\n30\t\n31\t## Step 4: Analyze and Revise\n32\t\n33\tApply `POWELL_REVISE.md` in this order:\n34\t\n35\t1. **Section 零 (十大写作原则)**: Check each principle — problem-driven opening, deletion priority, no recap, direct judgment, metaphor as last resort, hidden first-person, forced subjectivity, vocabulary reduction, audience baseline, no chicken soup.\n36\t2. **Section 一 (AI痕迹识别清单)**: Scan for and fix all listed AI traces — transition word piling, mechanical parallelism, over-balanced phrasing, defensive citations, empty modifiers, AI endings, self-Q&A, perfect three-part structure, grand vocabulary bombing.\n37\t3. **Section 二 (修订操作手册)**: Apply sentence-level rewrites — break parallelism, add colloquial tone, vary paragraph lengths, insert genuine thinking.\n38\t4. **Style alignment**: Cross-reference with `writing_style.md` to match the user's authentic voice — bilingual tech terms, conclusion-first, zero-fluff, max 1-2 metaphors.\n39\t\n40\t**Preserve**:\n41\t- Original meaning and key information\n42\t- Technical terms and proper nouns\n43\t- Code blocks, lists, and structural formatting\n44\t- Original language (Chinese/English)\n45\t\n46\t## Step 5: Generate Revised Filename\n47\t\n48\tFrom the original file path, generate the revised filename:\n49\t- Extract directory, filename, and extension\n50\t- Add `-Revised` before the extension\n51\t- Example: `/path/to/article.md` → `/path/to/article-Revised.md`\n52\t\n53\t## Step 6: Save Revised Version\n54\t\n55\tWrite the humanized content to the new file path.\n56\t\n57\t## Step 7: Confirmation\n58\t\n59\tOutput a success message showing:\n60\t- Original file path\n61\t- Revised file path\n62\t- 3-5 specific changes made (reference which POWELL_REVISE rule was applied)\n63\t\n64\t## Output Format\n65\t\n66\t```\n67\tArticle Revised - AI Tone Removed\n68\t\n69\tOriginal: /path/to/article.md\n70\tRevised: /path/to/article-Revised.md\n71\t\n72\tChanges applied:\n73\t- [原则3 戛然而止] 删除了首尾呼应的结尾段\n74\t- [1.1 过渡词] 删除了\"首先...其次...最后\"结构\n75\t- [1.1 空洞修饰词] 将\"破坏性是灾难级的\"改为具体描述\n76\t- ...\n77\t\n78\tDone.\n79\t```\n80\t"}]},"uuid":"cf83a1dd-119b-45eb-9fe7-cb86d7a5f5dc","timestamp":"2026-04-18T11:51:01.283Z","toolUseResult":{"type":"text","file":{"filePath":"/root/projects/butler/.claude/commands/deai.md","content":"---\ndescription: Remove AI tone from article and save revised version\nargument-hint: \nallowed-tools: Read, Write, Glob\ncontext: fork\nmodel: sonnet\n---\n\n# De-AI Article Reviser\n\nRemove artificial AI tone from articles using the project's established revision standards.\n\n## Step 1: Parse Input\n\nInput file path: $ARGUMENTS\n\nIf no path provided, ask the user to provide a file path.\n\n## Step 2: Read Reference Guides\n\nRead these two files from the project root for revision standards:\n- `POWELL_REVISE.md` — the primary de-AI revision guide (principles, AI trace checklist, revision operations, vocabulary blacklist/whitelist)\n- `writing_style.md` — the user's authentic writing style DNA\n\nThese two files are the **sole authority** on what counts as AI tone and how to fix it. Do NOT use your own generic rules — follow these guides strictly.\n\n## Step 3: Read Original Article\n\nRead the file content using the Read tool with the provided path.\n\n## Step 4: Analyze and Revise\n\nApply `POWELL_REVISE.md` in this order:\n\n1. **Section 零 (十大写作原则)**: Check each principle — problem-driven opening, deletion priority, no recap, direct judgment, metaphor as last resort, hidden first-person, forced subjectivity, vocabulary reduction, audience baseline, no chicken soup.\n2. **Section 一 (AI痕迹识别清单)**: Scan for and fix all listed AI traces — transition word piling, mechanical parallelism, over-balanced phrasing, defensive citations, empty modifiers, AI endings, self-Q&A, perfect three-part structure, grand vocabulary bombing.\n3. **Section 二 (修订操作手册)**: Apply sentence-level rewrites — break parallelism, add colloquial tone, vary paragraph lengths, insert genuine thinking.\n4. **Style alignment**: Cross-reference with `writing_style.md` to match the user's authentic voice — bilingual tech terms, conclusion-first, zero-fluff, max 1-2 metaphors.\n\n**Preserve**:\n- Original meaning and key information\n- Technical terms and proper nouns\n- Code blocks, lists, and structural formatting\n- Original language (Chinese/English)\n\n## Step 5: Generate Revised Filename\n\nFrom the original file path, generate the revised filename:\n- Extract directory, filename, and extension\n- Add `-Revised` before the extension\n- Example: `/path/to/article.md` → `/path/to/article-Revised.md`\n\n## Step 6: Save Revised Version\n\nWrite the humanized content to the new file path.\n\n## Step 7: Confirmation\n\nOutput a success message showing:\n- Original file path\n- Revised file path\n- 3-5 specific changes made (reference which POWELL_REVISE rule was applied)\n\n## Output Format\n\n```\nArticle Revised - AI Tone Removed\n\nOriginal: /path/to/article.md\nRevised: /path/to/article-Revised.md\n\nChanges applied:\n- [原则3 戛然而止] 删除了首尾呼应的结尾段\n- [1.1 过渡词] 删除了\"首先...其次...最后\"结构\n- [1.1 空洞修饰词] 将\"破坏性是灾难级的\"改为具体描述\n- ...\n\nDone.\n```\n","numLines":80,"startLine":1,"totalLines":80}},"sourceToolAssistantUUID":"507bf3db-4144-44b7-87e8-91a07abd55b9","userType":"external","entrypoint":"cli","cwd":"/root/projects/butler","sessionId":"e55a7e79-e8b1-4155-95e3-33909f9f82b9","version":"2.1.114","gitBranch":"HEAD"}
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{"parentUuid":"a83306ed-8112-4e11-a64c-1ed7d6e1d155","isSidechain":false,"promptId":"eafe11dd-2124-40f9-a3ae-413df9f003b2","type":"user","message":{"role":"user","content":[{"tool_use_id":"call_b7ad7cb3c4cf4538b46bb695","type":"tool_result","content":"1\t# POWELL_REVISE.md\n2\t# AI味去除与文章修订规范\n3\t\n4\t> **使用场景**: 当你与AI探讨并生成文章后，使用本规范对文章进行\"去AI味\"修订，使其更接近真实的个人表达。\n5\t\n6\t---\n7\t\n8\t## 修订原则总览\n9\t\n10\t**核心理念**: 保持你的思想内核和逻辑骨架，去除AI生成痕迹，让文字更有\"人味\"。\n11\t\n12\t**选定策略**:\n13\t- 语气强度: 保持原风格，仅去AI痕迹\n14\t- 文章结构: 保持清晰结构（1, 2, 3 列表和标题）\n15\t- 减少格式: 除了必要的分段，最好不要使用Markdown语法\n16\t- 禁止括号: 默认删除所有解释性括号。极少数情况下括号内容对理解确实不可或缺，用\"也就是\"或\"即\"整合进句子，不保留括号本身\n17\t- 词汇处理: 删除过渡词堆积 + 打破排比对仗 + 增加口语化 + 保留技术准确性\n18\t- 情绪表达: 保持冷静客观，通过细节增加人味；比喻是最后手段，只在真正更清晰时用\n19\t\n20\t---\n21\t\n22\t## 零、七大写作原则（最高优先级）\n23\t\n24\t在应用后续所有规则之前，先对齐这七条原则：\n25\t\n26\t**1. 问题导入，禁止上帝视角**\n27\t开头必须从一个具体困惑、矛盾或场景切入。禁止以\"X是Y的核心\"、\"在当今时代，Z越来越重要\"这类全知叙述开场。\n28\t\n29\t**2. 剃刀原则：删句优先于改句**\n30\t每一句话，问自己：删掉它，意思有没有损失？如果没有，直接删。不要改写冗余句，删除它。\n31\t\n32\t**3. 戛然而止，禁止首尾呼应**\n33\t最后一句有实质信息量就停。不做总结，不回望全文。绝对禁止把开头的论点原样搬回结尾——同一个观点在首尾各说一遍是最典型的AI结构。\n34\t\n35\t**4. 只说自己的判断，拒绝\"理客中\"**\n36\t禁止\"有些人认为X，也有人认为Y\"的防御性写法。直接说你认为什么。明确禁用\"我可以理解他们的焦虑\"、\"当然，任何事物都有两面性\"、\"不可否认\"——这类先共情再否定的套路是伪装成理性的逃避。\n37\t\n38\t**5. 比喻是最后手段**\n39\t只有比喻真正比直说更清晰时才用，不要为了\"有人味\"而强行加。全篇最多1个，没有也完全可以。\n40\t\n41\t**6. 隐去第一人称**\n42\t严禁泛滥使用\"我\"（\"我一直有个观点\"、\"我在读源码时发现\"、\"我建议\"）。观点和事实自己会说话，不要把\"我\"当成模拟人类语气的标点符号。偶尔一次没问题，全文每段都有就是问题。\n43\t\n44\t**7. 强制主观判断**\n45\t陈述技术事实或描述某个工具/方案时，必须附带直接评价。不要只罗列特性，要说它暴力但有效、设计清爽、极度脆弱——这不是修辞，是信息密度的一部分。\n46\t\n47\t**8. 词汇与概念降维**\n48\t绝对禁止使用\"赋能\"、\"底层逻辑\"、\"仪式性努力\"、\"错失恐惧症\"、\"精神枷锁\"等社科或互联网黑话。用具体的动作或大白话替代（例如：把\"仪式性努力\"直接说成\"花钱买心理安慰\"）。禁止为了结构工整而将事物强行拆分为\"保守派/激进派\"、\"向内求索/向外扩展\"等对称的伪概念。\n49\t\n50\t**9. 受众基线预设**\n51\t默认受众是具备高级技术认知（如熟悉 Python 开发、系统架构）的同行。绝对禁止解释基础概念（如禁用\"编程的本质是……\"、\"提示词的意思是……\"）。不教育读者，只提供洞察。\n52\t\n53\t**10. 封杀鸡汤与情绪抚慰**\n54\t禁止所有类似\"危机就是转机\"、\"这是成长的机会\"、\"最重要的选择\"等带有情绪抚慰和职场导师口吻的废话。\n55\t\n56\t---\n57\t\n58\t## 一、AI痕迹识别清单\n59\t\n60\t### 1.1 必须删除的典型AI痕迹\n61\t\n62\t**过度工整的过渡词**:\n63\t- ❌ \"首先...其次...再次...最后...\"\n64\t- ❌ \"总而言之\" \"综上所述\" \"不难看出\"\n65\t- ❌ \"值得注意的是\" \"需要强调的是\"\n66\t- ❌ \"说白了\" \"说实话\"\n67\t- ✅ 直接陈述，或用\"btw\" \"其实\" (仅在必要时使用)\n68\t\n69\t**机械的排比和对仗**:\n70\t- ❌ \"不仅...而且...\" \"既...又...\" \"一方面...另一方面...\"\n71\t- ❌ 三个并列短句字数完全相等的排比\n72\t- ✅ 自然的递进，长短句交错，不刻意对称\n73\t\n74\t**过度平衡的表达**:\n75\t- ❌ \"虽然有A的优势，但也存在B的挑战，因此我们需要综合考虑...\"\n76\t- ✅ 直接说你的判断: \"A确实有价值，但B才是真正的瓶颈\"\n77\t\n78\t**防御性引用**:\n79\t- ❌ \"有些人认为X，也有人认为Y，因此我们需要综合考虑\"\n80\t- ❌ \"不少专家指出...\" \"研究表明...\"（用来代替自己表态）\n81\t- ✅ 直接说\"我认为X\" 或 \"这件事我的判断是X\"\n82\t\n83\t**空洞的修饰词堆积**:\n84\t- ❌ \"深入、全面、系统地\" \"显著提升\" \"有效解决\"\n85\t- ✅ 用具体数据或比喻: \"3秒开服\" \"像拆毛坯房和简装房的区别\"\n86\t\n87\t**AI喜欢的万能结尾**:\n88\t- ❌ \"让我们携手共进，共创美好未来\"\n89\t- ❌ \"这不仅是挑战，更是机遇\"\n90\t- ✅ 具体的下一步或诚实的不确定: \"接下来我们要做X\" 或 \"说实话，这事儿我还没完全想清楚\"\n91\t\n92\t### 1.2 典型AI句式模式\n93\t\n94\t**问题句式**:\n95\t- ❌ \"那么，我们应该如何解决这个问题呢？\" (AI喜欢自问自答)\n96\t- ✅ 直接给方案或坦承: \"这个问题其实没有银弹\" 或 \"我的解决思路是...\"\n97\t\n98\t**完美的三段论 / 八股文骨架**:\n99\t- ❌ 提出问题(200字) → 分析问题(500字) → 解决问题(300字)\n100\t- ❌ \"现象-本质-客观背景-解决方案\"均分四段（最典型的AI骨架）\n101\t- ❌ \"一、... 二、... 三、... 总结一句话：...\" 这种汉字序号加强行收尾的结构，是八股文变体，全部禁用\n102\t- ❌ 任何形式的\"总结一句话\"/\"一句话总结\"/\"综上\"式收尾\n103\t- ✅ 可以先说结论，或者中间插入自己的怀疑和修正；说完最后一个有实质内容的点，直接停\n104\t\n105\t**宏大词汇轰炸**:\n106\t- ❌ \"不可逆的浪潮\" \"现实的巨浪\" \"范式转移\" \"时代大背景\" \"深刻变革\"\n107\t- ❌ 连续多段都在描述宏大趋势而非具体现象\n108\t- ✅ 换成可被验证的具体描述：\"npm 依赖一更新就挂\" \"狂烧 Token\"\n109\t\n110\t---\n111\t\n112\t## 二、修订操作手册\n113\t\n114\t### 2.1 结构层面（保持，但微调）\n115\t\n116\t**保持的部分**:\n117\t- ✅ 清晰的标题层级（1, 2, 3...）\n118\t- ✅ 子弹点列表\n119\t- ✅ \"背景-现状-挑战-下一步\"的逻辑框架\n120\t\n121\t**需要微调的部分**:\n122\t- 在标题之间加入\"过渡思考\"，如: \"btw，这让我想到一个更本质的问题...\"\n123\t- 标题不需要完美对称，可以有长有短，有陈述也有反问\n124\t- 可以在正文段落中间插入用\"---\"分隔的独立思考片段\n125\t\n126\t### 2.2 句子层面（重点修订区）\n127\t\n128\t**删除过渡词堆积**:\n129\t```\n130\tBefore (AI味):\n131\t首先，我们需要理解云计算的本质。其次，要认识到标准化的重要性。最后，我们才能真正实现IT巴别塔的愿景。\n132\t\n133\tAfter (去AI味):\n134\t云计算的本质是什么？说白了就是标准化。只有把底层标准化了，才有可能建成IT巴别塔。\n135\t```\n136\t\n137\t**打破排比和对仗**:\n138\t```\n139\tBefore (AI味):\n140\t我们既要保证性能，又要控制成本，还要提升体验。\n141\t\n142\tAfter (去AI味):\n143\t性能肯定要保证。但成本控制才是长期可持续的关键，用户体验是这两者平衡后的结果。\n144\t```\n145\t\n146\t**增加口语化表达**:\n147\t```\n148\tBefore (AI味):\n149\t经过深入分析，我们认为该方案具有可行性。\n150\t\n151\tAfter (去AI味):\n152\t这个方案能不能行？我觉得问题不大，主要是看执行。\n153\t```\n154\t\n155\t**用\"把\"字句替代\"将\"字句**:\n156\t```\n157\tBefore (书面腔):\n158\t系统会将对象移动到目标路径。\n159\t\n160\tAfter (口语化):\n161\t系统会把对象移动到目标路径。\n162\t```\n163\t\n164\t**条件句口语化**:\n165\t```\n166\tBefore (书面腔):\n167\t若配置缺失，则服务将无法启动。\n168\t\n169\tAfter (口语化):\n170\t如果配置缺失，服务就起不来。\n171\t```\n172\t\n173\t**保留技术准确性**:\n174\t```\n175\t✅ 保持: CVM, Lighthouse, TTFT, P95, GPU, infra, winback\n176\t✅ 保持: 具体的性能数据 \"3秒开服\" \"0.1%的概率\"\n177\t✅ 保持: 专业术语的英文表达，不要强行翻译成中文\n178\t```\n179\t\n180\t**禁用防御性引号**:\n181\t```\n182\t❌ 对归纳性词汇套引号制造焦点: \"调戏\" \"数字替身\" \"你问我答\" \"主动交办\" \"包工头模式\" \"固化\" \"统一入口\" \"神器\" \"抖机灵\"\n183\t❌ 用引号免责: 这种所谓的\"创新\"...\n184\t✅ 直接说清楚评价，不需要引号来暗示距离感；如果词本身不够精确，换个更准确的词，或用完整句子表达\n185\t```\n186\t\n187\t**禁止连续复合长句**:\n188\t```\n189\t❌ 一段里全是逗号堆砌的长句，读者喘不过气\n190\t✅ 短句抛出观点，长句解释逻辑，信息过载时用句号截断\n191\t✅ 一句话里超过三个分句，考虑拆成两句\n192\t```\n193\t\n194\t**段落长度**:\n195\t- AI喜欢每段150-200字，整齐划一\n196\t- 真人写作: 有的段落就一句话，有的可能300字，参差不齐\n197\t\n198\t**思维插入**:\n199\t在段落间插入真实的思考过程:\n200\t```\n201\t[具体论述A]\n202\t\n203\t其实我知道大家可能会觉得这个想法太理想化。我也对此持有疑虑，必须承认这一点。\n204\t\n205\t但是...\n206\t```\n207\t\n208\t**使用你的典型比喻**:\n209\t- 巴别塔、西西弗斯、福特生产线、魔法\n210\t- 服务器像宠物一样需要照顾\n211\t\n212\t### 2.4 情绪和态度层面\n213\t\n214\t**保持冷静客观，但加入细节**:\n215\t```\n216\tBefore (AI味):\n217\t这个技术方案经过验证是可行的，能够有效解决问题。\n218\t\n219\tAfter (去AI味):\n220\t这个方案我们试了三个月，踩了不少坑，但确实能work。最关键的是，它能把P95延迟压到50ms以下，这对我们的场景够用了。\n221\t```\n222\t\n223\t**必要时承认局限**:\n224\t```\n225\t✅ \"说实话，这个问题我还没完全想清楚\"\n226\t✅ \"我能力有限，只能做到这个程度\"\n227\t✅ \"这是我们当前能做的最优解，不是完美解\"\n228\t```\n229\t\n230\t**使用你的金句模式**:\n231\t- \"其实我知道xxx，但我也对此持有非常疑虑的态度\"\n232\t- \"我们可以从两个极端角度来看这个问题\"\n233\t- \"这不仅是炫技，更是为了解决xxx的矛盾\"\n234\t\n235\t---\n236\t\n237\t## 三、分步修订流程\n238\t\n239\t### Step 1: 快速扫描（2分钟）\n240\t用查找功能搜索以下词汇，直接删除或替换:\n241\t- \"首先\" \"其次\" \"最后\" \"总之\" \"综上所述\"\n242\t- \"不仅...而且\" \"既...又...\"\n243\t- \"深入\" \"全面\" \"系统\" \"显著\" \"有效\"\n244\t- \"让我们\" \"携手\" \"共创\"\n245\t- \"赋能\" \"底层逻辑\" \"仪式性努力\" \"错失恐惧症\" \"精神枷锁\"\n246\t- \"保守派/激进派\" \"向内求索/向外扩展\"\n247\t- \"危机就是转机\" \"这是成长的机会\" \"最重要的选择\"\n248\t\n249\t### Step 2: 结构检查（3分钟）\n250\t- 标题是否过于工整？可以打乱一个\n251\t- 每段字数是否太平均？制造一些参差感\n252\t- 是否有\"自问自答\"的句子？改成直接陈述\n253\t\n254\t### Step 3: 句子重写（10分钟）\n255\t- 找出最\"AI味\"的3-5个句子，用口语化方式重写\n256\t- 检查技术术语是否保留英文\n257\t- 加入1-2个比喻或具体案例\n258\t\n259\t### Step 4: 情绪注入（5分钟）\n260\t- 找到1-2处可以表达\"怀疑\"或\"自我修正\"的地方，加入真实思考\n261\t- 找到可以用\"btw\"或\"说实话\"的地方，增加口语化转折\n262\t- 检查是否有过度自信的表达，适当降温\n263\t\n264\t### Step 5: 最后通读（3分钟）\n265\t- 大声朗读，听起来是否像自己在说话\n266\t- 是否还有\"朗朗上口\"的排比句？打破它\n267\t- 是否有过于完美的结尾？改得实际一点\n268\t\n269\t---\n270\t\n271\t## 四、典型修订对照示例\n272\t\n273\t### 示例1: 技术方案介绍\n274\t\n275\t**Before (AI生成)**:\n276\t```\n277\t云计算作为新一代信息技术的重要组成部分，正在深刻改变着企业的IT架构。\n278\t首先，云计算提供了弹性可扩展的计算资源；其次，它降低了企业的运维成本；\n279\t最后，通过标准化的服务，云计算使得应用开发更加高效。因此，我们应当充分\n280\t认识到云计算的战略意义，积极推进云原生技术的落地应用。\n281\t```\n282\t\n283\t**After (去AI味)**:\n284\t```\n285\t云计算到底在干什么？说白了就是想建一个IT的巴别塔。\n286\t\n287\t让计算资源像水电一样随时可用，这是理想。但现实是，大部分企业用云就像\n288\t租了个毛坯房，装修、搭建、运维，一堆活儿还得自己干。\n289\t\n290\t这就是为什么我们要做Lighthouse。它不是低配版CVM，而是一个\"简装房\"，\n291\t开箱即用。btw，这背后其实是在赌一件事：牺牲部分灵活性，换取极致易用性，\n292\t对大部分开发者来说是划算的。\n293\t```\n294\t\n295\t### 示例2: 项目复盘\n296\t\n297\t**Before (AI生成)**:\n298\t```\n299\t本项目历时3个月，期间团队克服了诸多技术难题，最终成功上线。在此过程中，\n300\t我们深刻认识到了充分沟通的重要性，同时也积累了宝贵的经验。展望未来，\n301\t我们将继续优化产品性能，为用户提供更优质的服务体验。\n302\t```\n303\t\n304\t**After (去AI味)**:\n305\t```\n306\t这个项目折腾了3个月才上线，中间踩的坑比预期多得多。\n307\t\n308\t最大的问题不是技术，是沟通。产品、研发、运维，三方对\"稳定性\"的定义\n309\t完全不一样。后来我们干脆拉了个三方会，把SLA指标写在白板上，才算对齐。\n310\t\n311\t性能方面，P95延迟还是没压到目标值，但考虑到当前成本，已经是可接受的\n312\t权衡了。下一步要做的是引入热迁移技术，这个能从根上解决问题，但需要\n313\t底层VStation配合，不是短期能搞定的。\n314\t\n315\t这个项目让我最深的体会是：技术问题终究是人的问题。\n316\t```\n317\t\n318\t### 示例3: 观点论述\n319\t\n320\t**Before (AI生成)**:\n321\t```\n322\t关于技术团队的管理，不同的组织有不同的做法。一方面，我们需要给予工程师\n323\t充分的技术自由度；另一方面，也要建立必要的规范和流程。在实践中，我们\n324\t应当在灵活性和规范性之间寻求平衡，这样才能既保证创新活力，又维护系统\n325\t稳定。总的来说，管理是一门艺术，需要持续探索和优化。\n326\t```\n327\t\n328\t**After (去AI味)**:\n329\t```\n330\t管理技术团队，我的核心原则是\"对人编程\"。\n331\t\n332\t程序员不是代码机器，他们有自己的底层逻辑。你要像理解API一样理解他们的\n333\t反馈循环：给清晰的目标、足够的上下文、及时的反馈。\n334\t\n335\t至于\"自由度\"和\"规范\"的平衡？其实这是个伪命题。真正的职业工程师不需要\n336\t你去平衡，他们自己就知道什么时候该严格遵守规范，什么时候可以突破。\n337\t问题往往出在\"学生思维\"上——等着老师划重点，做完作业就万事大吉。\n338\t\n339\t这也是为什么我在团队强调\"成人逻辑\"：关注事情本身，而不是KPI表演。\n340\t```\n341\t\n342\t---\n343\t\n344\t## 五、特殊情况处理\n345\t\n346\t### 5.1 如果文章是技术文档\n347\t- 保持技术准确性优先\n348\t- 删减\"心灵鸡汤\"式的铺垫\n349\t- 保留列表和代码示例的工整\n350\t- 但可以在前言和总结部分加入个人思考\n351\t\n352\t### 5.2 如果文章是团队汇报\n353\t- 保留必要的正式感和完整性\n354\t- 删减过度修饰，但保留数据和事实\n355\t- 可以在\"背景\"部分加入坦诚的现状描述\n356\t- 结尾从\"展望未来\"改为\"下一步计划\"\n357\t\n358\t### 5.3 如果文章是个人文章/博客\n359\t- 可以更激进地去除AI痕迹\n360\t- 增加更多思考过程\n361\t- 使用更多比喻和隐喻\n362\t- 敢于表达未完成的思考：\"这个问题我还在琢磨\"\n363\t\n364\t---\n365\t\n366\t## 六、自检清单\n367\t\n368\t修订完成后，问自己以下问题:\n369\t- [ ] 是否还有\"首先...其次...最后\"的结构？\n370\t- [ ] 是否有过于工整的排比句？\n371\t- [ ] 技术术语是否保留了英文？\n372\t- [ ] 是否有至少1-2处自然口语（\"btw\" \"其实\"）？注意\"说实话\"\"说白了\"是伪口语，不算\n373\t- [ ] 段落长度是否有参差感？\n374\t- [ ] 大声朗读时，是否听起来像你在说话而不是在背稿？\n375\t- [ ] 是否删除了空洞的修饰词（\"深入\" \"全面\" \"显著\"）？\n376\t- [ ] 结尾是否实际且可执行，而非\"美好展望\"？\n377\t- [ ] \"我\"字是否泛滥？全文超过5个就要开始删\n378\t- [ ] 是否有首尾呼应（同一个观点开头结尾各说一遍）？\n379\t- [ ] 是否有宏大词汇轰炸（\"不可逆的浪潮\"、\"范式转移\"、\"时代大背景\"）？\n380\t- [ ] 陈述事实时是否附带了主观评价，而不是纯客观罗列？\n381\t- [ ] 是否使用了抽象黑话（如\"赋能\"、\"底层逻辑\"、\"仪式性努力\"等）？\n382\t- [ ] 是否有强行分类的伪概念（如\"保守派/激进派\"、\"向内求索/向外扩展\"等）？\n383\t- [ ] 是否有常识科普或爹味说教的内容？\n384\t- [ ] 是否有鸡汤或情绪抚慰类的表达（如\"危机就是转机\"、\"这是成长的机会\"等）？\n385\t\n386\t---\n387\t\n388\t## 七、快速修订模板\n389\t\n390\t如果时间紧迫，使用以下最小修订清单:\n391\t\n392\t1. **批量替换**（30秒）:\n393\t - \"首先\" → 删除或改\"第一个要说的是\"\n394\t - \"其次\" → 删除或改\"另外\"\n395\t - \"最后\" → 删除或改\"btw\"\n396\t - \"总而言之\" → 删除整句\n397\t - \"赋能\" → 删除或改具体动作\n398\t - \"底层逻辑\" → 删除或改具体原因\n399\t - \"仪式性努力\" → 删除或改\"花钱买心理安慰\"\n400\t - \"危机就是转机\" → 删除或改具体困难和解决方法\n401\t\n402\t2. **挑3个最AI的句子重写**（3分钟）:\n403\t - 找排比句 → 改成一长一短\n404\t - 找空话 → 换成具体例子或数据\n405\t - 找过渡句 → 删除或改\"说实话\"\n406\t\n407\t3. **加比喻**（最后手段，不是常规操作）:\n408\t - 只有比喻真正比直说更清晰时才用，不要为了\"有人味\"强行加\n409\t - **永久禁用**：\"简装房\"（仅限特定历史场景，不再泛用）\n410\t - 原则：全篇最多 1 个，没有也完全可以\n411\t\n412\t4. **改结尾**（1分钟）:\n413\t - 从\"展望未来\"改成\"下一步要做X\"\n414\t - 或直接说\"这个事儿还没完全想清楚\"\n415\t\n416\t---\n417\t\n418\t## 附录：典型词汇黑白名单\n419\t\n420\t### 黑名单（尽量避免）\n421\t- 深入、全面、系统、显著、有效\n422\t- 充分、积极、持续、不断、进一步\n423\t- 切实、扎实、务实、落实\n424\t- 携手、共创、共赢\n425\t- 赋能、触达、闭环、抓手、底层逻辑、仪式性努力、错失恐惧症、精神枷锁\n426\t- 不难看出、值得注意的是、需要强调的是\n427\t- **宏大词汇类**：不可逆的浪潮、现实的巨浪、时代大背景、范式转移、深刻变革、历史性时刻\n428\t- **伪分类类**：保守派/激进派、向内求索/向外扩展、左派/右派、传统派/革新派\n429\t- **鸡汤类**：危机就是转机、这是成长的机会、最重要的选择、挑战与机遇并存\n430\t\n431\t### 白名单（鼓励使用）\n432\t- 说实话、其实、btw\n433\t- 这让我想到、我觉得\n434\t- 问题是、关键在于\n435\t- 说白了、坦白讲\n436\t- 技术术语（CVM, Lighthouse, GPU, infra, etc.）\n437\t- 具体数据（3秒、0.1%、P95）\n438\t- 比喻（最后手段：只在比喻真正比直说更清晰时用；全篇最多 1 个，没有也可以）\n439\t- **永久禁用**：简装房（仅限特定历史场景，不再使用）\n440\t\n441\t---\n442\t\n443\t**使用建议**:\n444\t1. 首次修订，严格按流程走一遍（约30分钟）\n445\t2. 熟练后，用\"快速修订模板\"（5分钟搞定）\n446\t3. 定期积累好的改写案例，丰富个人表达库\n447\t4. 如果AI生成的某段特别符合你的思路，可以保留，不必过度修改\n448\t\n449\t**终极目标**: 让读者读完后的感觉是\"这绝对是Powell写的\"，而不是\"这看起来像AI生成的\"。\n450\t"}]},"uuid":"216454ed-977d-475e-959a-91a14860dc47","timestamp":"2026-04-18T11:51:05.218Z","toolUseResult":{"type":"text","file":{"filePath":"/root/projects/butler/POWELL_REVISE.md","content":"# POWELL_REVISE.md\n# AI味去除与文章修订规范\n\n> **使用场景**: 当你与AI探讨并生成文章后，使用本规范对文章进行\"去AI味\"修订，使其更接近真实的个人表达。\n\n---\n\n## 修订原则总览\n\n**核心理念**: 保持你的思想内核和逻辑骨架，去除AI生成痕迹，让文字更有\"人味\"。\n\n**选定策略**:\n- 语气强度: 保持原风格，仅去AI痕迹\n- 文章结构: 保持清晰结构（1, 2, 3 列表和标题）\n- 减少格式: 除了必要的分段，最好不要使用Markdown语法\n- 禁止括号: 默认删除所有解释性括号。极少数情况下括号内容对理解确实不可或缺，用\"也就是\"或\"即\"整合进句子，不保留括号本身\n- 词汇处理: 删除过渡词堆积 + 打破排比对仗 + 增加口语化 + 保留技术准确性\n- 情绪表达: 保持冷静客观，通过细节增加人味；比喻是最后手段，只在真正更清晰时用\n\n---\n\n## 零、七大写作原则（最高优先级）\n\n在应用后续所有规则之前，先对齐这七条原则：\n\n**1. 问题导入，禁止上帝视角**\n开头必须从一个具体困惑、矛盾或场景切入。禁止以\"X是Y的核心\"、\"在当今时代，Z越来越重要\"这类全知叙述开场。\n\n**2. 剃刀原则：删句优先于改句**\n每一句话，问自己：删掉它，意思有没有损失？如果没有，直接删。不要改写冗余句，删除它。\n\n**3. 戛然而止，禁止首尾呼应**\n最后一句有实质信息量就停。不做总结，不回望全文。绝对禁止把开头的论点原样搬回结尾——同一个观点在首尾各说一遍是最典型的AI结构。\n\n**4. 只说自己的判断，拒绝\"理客中\"**\n禁止\"有些人认为X，也有人认为Y\"的防御性写法。直接说你认为什么。明确禁用\"我可以理解他们的焦虑\"、\"当然，任何事物都有两面性\"、\"不可否认\"——这类先共情再否定的套路是伪装成理性的逃避。\n\n**5. 比喻是最后手段**\n只有比喻真正比直说更清晰时才用，不要为了\"有人味\"而强行加。全篇最多1个，没有也完全可以。\n\n**6. 隐去第一人称**\n严禁泛滥使用\"我\"（\"我一直有个观点\"、\"我在读源码时发现\"、\"我建议\"）。观点和事实自己会说话，不要把\"我\"当成模拟人类语气的标点符号。偶尔一次没问题，全文每段都有就是问题。\n\n**7. 强制主观判断**\n陈述技术事实或描述某个工具/方案时，必须附带直接评价。不要只罗列特性，要说它暴力但有效、设计清爽、极度脆弱——这不是修辞，是信息密度的一部分。\n\n**8. 词汇与概念降维**\n绝对禁止使用\"赋能\"、\"底层逻辑\"、\"仪式性努力\"、\"错失恐惧症\"、\"精神枷锁\"等社科或互联网黑话。用具体的动作或大白话替代（例如：把\"仪式性努力\"直接说成\"花钱买心理安慰\"）。禁止为了结构工整而将事物强行拆分为\"保守派/激进派\"、\"向内求索/向外扩展\"等对称的伪概念。\n\n**9. 受众基线预设**\n默认受众是具备高级技术认知（如熟悉 Python 开发、系统架构）的同行。绝对禁止解释基础概念（如禁用\"编程的本质是……\"、\"提示词的意思是……\"）。不教育读者，只提供洞察。\n\n**10. 封杀鸡汤与情绪抚慰**\n禁止所有类似\"危机就是转机\"、\"这是成长的机会\"、\"最重要的选择\"等带有情绪抚慰和职场导师口吻的废话。\n\n---\n\n## 一、AI痕迹识别清单\n\n### 1.1 必须删除的典型AI痕迹\n\n**过度工整的过渡词**:\n- ❌ \"首先...其次...再次...最后...\"\n- ❌ \"总而言之\" \"综上所述\" \"不难看出\"\n- ❌ \"值得注意的是\" \"需要强调的是\"\n- ❌ \"说白了\" \"说实话\"\n- ✅ 直接陈述，或用\"btw\" \"其实\" (仅在必要时使用)\n\n**机械的排比和对仗**:\n- ❌ \"不仅...而且...\" \"既...又...\" \"一方面...另一方面...\"\n- ❌ 三个并列短句字数完全相等的排比\n- ✅ 自然的递进，长短句交错，不刻意对称\n\n**过度平衡的表达**:\n- ❌ \"虽然有A的优势，但也存在B的挑战，因此我们需要综合考虑...\"\n- ✅ 直接说你的判断: \"A确实有价值，但B才是真正的瓶颈\"\n\n**防御性引用**:\n- ❌ \"有些人认为X，也有人认为Y，因此我们需要综合考虑\"\n- ❌ \"不少专家指出...\" \"研究表明...\"（用来代替自己表态）\n- ✅ 直接说\"我认为X\" 或 \"这件事我的判断是X\"\n\n**空洞的修饰词堆积**:\n- ❌ \"深入、全面、系统地\" \"显著提升\" \"有效解决\"\n- ✅ 用具体数据或比喻: \"3秒开服\" \"像拆毛坯房和简装房的区别\"\n\n**AI喜欢的万能结尾**:\n- ❌ \"让我们携手共进，共创美好未来\"\n- ❌ \"这不仅是挑战，更是机遇\"\n- ✅ 具体的下一步或诚实的不确定: \"接下来我们要做X\" 或 \"说实话，这事儿我还没完全想清楚\"\n\n### 1.2 典型AI句式模式\n\n**问题句式**:\n- ❌ \"那么，我们应该如何解决这个问题呢？\" (AI喜欢自问自答)\n- ✅ 直接给方案或坦承: \"这个问题其实没有银弹\" 或 \"我的解决思路是...\"\n\n**完美的三段论 / 八股文骨架**:\n- ❌ 提出问题(200字) → 分析问题(500字) → 解决问题(300字)\n- ❌ \"现象-本质-客观背景-解决方案\"均分四段（最典型的AI骨架）\n- ❌ \"一、... 二、... 三、... 总结一句话：...\" 这种汉字序号加强行收尾的结构，是八股文变体，全部禁用\n- ❌ 任何形式的\"总结一句话\"/\"一句话总结\"/\"综上\"式收尾\n- ✅ 可以先说结论，或者中间插入自己的怀疑和修正；说完最后一个有实质内容的点，直接停\n\n**宏大词汇轰炸**:\n- ❌ \"不可逆的浪潮\" \"现实的巨浪\" \"范式转移\" \"时代大背景\" \"深刻变革\"\n- ❌ 连续多段都在描述宏大趋势而非具体现象\n- ✅ 换成可被验证的具体描述：\"npm 依赖一更新就挂\" \"狂烧 Token\"\n\n---\n\n## 二、修订操作手册\n\n### 2.1 结构层面（保持，但微调）\n\n**保持的部分**:\n- ✅ 清晰的标题层级（1, 2, 3...）\n- ✅ 子弹点列表\n- ✅ \"背景-现状-挑战-下一步\"的逻辑框架\n\n**需要微调的部分**:\n- 在标题之间加入\"过渡思考\"，如: \"btw，这让我想到一个更本质的问题...\"\n- 标题不需要完美对称，可以有长有短，有陈述也有反问\n- 可以在正文段落中间插入用\"---\"分隔的独立思考片段\n\n### 2.2 句子层面（重点修订区）\n\n**删除过渡词堆积**:\n```\nBefore (AI味):\n首先，我们需要理解云计算的本质。其次，要认识到标准化的重要性。最后，我们才能真正实现IT巴别塔的愿景。\n\nAfter (去AI味):\n云计算的本质是什么？说白了就是标准化。只有把底层标准化了，才有可能建成IT巴别塔。\n```\n\n**打破排比和对仗**:\n```\nBefore (AI味):\n我们既要保证性能，又要控制成本，还要提升体验。\n\nAfter (去AI味):\n性能肯定要保证。但成本控制才是长期可持续的关键，用户体验是这两者平衡后的结果。\n```\n\n**增加口语化表达**:\n```\nBefore (AI味):\n经过深入分析，我们认为该方案具有可行性。\n\nAfter (去AI味):\n这个方案能不能行？我觉得问题不大，主要是看执行。\n```\n\n**用\"把\"字句替代\"将\"字句**:\n```\nBefore (书面腔):\n系统会将对象移动到目标路径。\n\nAfter (口语化):\n系统会把对象移动到目标路径。\n```\n\n**条件句口语化**:\n```\nBefore (书面腔):\n若配置缺失，则服务将无法启动。\n\nAfter (口语化):\n如果配置缺失，服务就起不来。\n```\n\n**保留技术准确性**:\n```\n✅ 保持: CVM, Lighthouse, TTFT, P95, GPU, infra, winback\n✅ 保持: 具体的性能数据 \"3秒开服\" \"0.1%的概率\"\n✅ 保持: 专业术语的英文表达，不要强行翻译成中文\n```\n\n**禁用防御性引号**:\n```\n❌ 对归纳性词汇套引号制造焦点: \"调戏\" \"数字替身\" \"你问我答\" \"主动交办\" \"包工头模式\" \"固化\" \"统一入口\" \"神器\" \"抖机灵\"\n❌ 用引号免责: 这种所谓的\"创新\"...\n✅ 直接说清楚评价，不需要引号来暗示距离感；如果词本身不够精确，换个更准确的词，或用完整句子表达\n```\n\n**禁止连续复合长句**:\n```\n❌ 一段里全是逗号堆砌的长句，读者喘不过气\n✅ 短句抛出观点，长句解释逻辑，信息过载时用句号截断\n✅ 一句话里超过三个分句，考虑拆成两句\n```\n\n**段落长度**:\n- AI喜欢每段150-200字，整齐划一\n- 真人写作: 有的段落就一句话，有的可能300字，参差不齐\n\n**思维插入**:\n在段落间插入真实的思考过程:\n```\n[具体论述A]\n\n其实我知道大家可能会觉得这个想法太理想化。我也对此持有疑虑，必须承认这一点。\n\n但是...\n```\n\n**使用你的典型比喻**:\n- 巴别塔、西西弗斯、福特生产线、魔法\n- 服务器像宠物一样需要照顾\n\n### 2.4 情绪和态度层面\n\n**保持冷静客观，但加入细节**:\n```\nBefore (AI味):\n这个技术方案经过验证是可行的，能够有效解决问题。\n\nAfter (去AI味):\n这个方案我们试了三个月，踩了不少坑，但确实能work。最关键的是，它能把P95延迟压到50ms以下，这对我们的场景够用了。\n```\n\n**必要时承认局限**:\n```\n✅ \"说实话，这个问题我还没完全想清楚\"\n✅ \"我能力有限，只能做到这个程度\"\n✅ \"这是我们当前能做的最优解，不是完美解\"\n```\n\n**使用你的金句模式**:\n- \"其实我知道xxx，但我也对此持有非常疑虑的态度\"\n- \"我们可以从两个极端角度来看这个问题\"\n- \"这不仅是炫技，更是为了解决xxx的矛盾\"\n\n---\n\n## 三、分步修订流程\n\n### Step 1: 快速扫描（2分钟）\n用查找功能搜索以下词汇，直接删除或替换:\n- \"首先\" \"其次\" \"最后\" \"总之\" \"综上所述\"\n- \"不仅...而且\" \"既...又...\"\n- \"深入\" \"全面\" \"系统\" \"显著\" \"有效\"\n- \"让我们\" \"携手\" \"共创\"\n- \"赋能\" \"底层逻辑\" \"仪式性努力\" \"错失恐惧症\" \"精神枷锁\"\n- \"保守派/激进派\" \"向内求索/向外扩展\"\n- \"危机就是转机\" \"这是成长的机会\" \"最重要的选择\"\n\n### Step 2: 结构检查（3分钟）\n- 标题是否过于工整？可以打乱一个\n- 每段字数是否太平均？制造一些参差感\n- 是否有\"自问自答\"的句子？改成直接陈述\n\n### Step 3: 句子重写（10分钟）\n- 找出最\"AI味\"的3-5个句子，用口语化方式重写\n- 检查技术术语是否保留英文\n- 加入1-2个比喻或具体案例\n\n### Step 4: 情绪注入（5分钟）\n- 找到1-2处可以表达\"怀疑\"或\"自我修正\"的地方，加入真实思考\n- 找到可以用\"btw\"或\"说实话\"的地方，增加口语化转折\n- 检查是否有过度自信的表达，适当降温\n\n### Step 5: 最后通读（3分钟）\n- 大声朗读，听起来是否像自己在说话\n- 是否还有\"朗朗上口\"的排比句？打破它\n- 是否有过于完美的结尾？改得实际一点\n\n---\n\n## 四、典型修订对照示例\n\n### 示例1: 技术方案介绍\n\n**Before (AI生成)**:\n```\n云计算作为新一代信息技术的重要组成部分，正在深刻改变着企业的IT架构。\n首先，云计算提供了弹性可扩展的计算资源；其次，它降低了企业的运维成本；\n最后，通过标准化的服务，云计算使得应用开发更加高效。因此，我们应当充分\n认识到云计算的战略意义，积极推进云原生技术的落地应用。\n```\n\n**After (去AI味)**:\n```\n云计算到底在干什么？说白了就是想建一个IT的巴别塔。\n\n让计算资源像水电一样随时可用，这是理想。但现实是，大部分企业用云就像\n租了个毛坯房，装修、搭建、运维，一堆活儿还得自己干。\n\n这就是为什么我们要做Lighthouse。它不是低配版CVM，而是一个\"简装房\"，\n开箱即用。btw，这背后其实是在赌一件事：牺牲部分灵活性，换取极致易用性，\n对大部分开发者来说是划算的。\n```\n\n### 示例2: 项目复盘\n\n**Before (AI生成)**:\n```\n本项目历时3个月，期间团队克服了诸多技术难题，最终成功上线。在此过程中，\n我们深刻认识到了充分沟通的重要性，同时也积累了宝贵的经验。展望未来，\n我们将继续优化产品性能，为用户提供更优质的服务体验。\n```\n\n**After (去AI味)**:\n```\n这个项目折腾了3个月才上线，中间踩的坑比预期多得多。\n\n最大的问题不是技术，是沟通。产品、研发、运维，三方对\"稳定性\"的定义\n完全不一样。后来我们干脆拉了个三方会，把SLA指标写在白板上，才算对齐。\n\n性能方面，P95延迟还是没压到目标值，但考虑到当前成本，已经是可接受的\n权衡了。下一步要做的是引入热迁移技术，这个能从根上解决问题，但需要\n底层VStation配合，不是短期能搞定的。\n\n这个项目让我最深的体会是：技术问题终究是人的问题。\n```\n\n### 示例3: 观点论述\n\n**Before (AI生成)**:\n```\n关于技术团队的管理，不同的组织有不同的做法。一方面，我们需要给予工程师\n充分的技术自由度；另一方面，也要建立必要的规范和流程。在实践中，我们\n应当在灵活性和规范性之间寻求平衡，这样才能既保证创新活力，又维护系统\n稳定。总的来说，管理是一门艺术，需要持续探索和优化。\n```\n\n**After (去AI味)**:\n```\n管理技术团队，我的核心原则是\"对人编程\"。\n\n程序员不是代码机器，他们有自己的底层逻辑。你要像理解API一样理解他们的\n反馈循环：给清晰的目标、足够的上下文、及时的反馈。\n\n至于\"自由度\"和\"规范\"的平衡？其实这是个伪命题。真正的职业工程师不需要\n你去平衡，他们自己就知道什么时候该严格遵守规范，什么时候可以突破。\n问题往往出在\"学生思维\"上——等着老师划重点，做完作业就万事大吉。\n\n这也是为什么我在团队强调\"成人逻辑\"：关注事情本身，而不是KPI表演。\n```\n\n---\n\n## 五、特殊情况处理\n\n### 5.1 如果文章是技术文档\n- 保持技术准确性优先\n- 删减\"心灵鸡汤\"式的铺垫\n- 保留列表和代码示例的工整\n- 但可以在前言和总结部分加入个人思考\n\n### 5.2 如果文章是团队汇报\n- 保留必要的正式感和完整性\n- 删减过度修饰，但保留数据和事实\n- 可以在\"背景\"部分加入坦诚的现状描述\n- 结尾从\"展望未来\"改为\"下一步计划\"\n\n### 5.3 如果文章是个人文章/博客\n- 可以更激进地去除AI痕迹\n- 增加更多思考过程\n- 使用更多比喻和隐喻\n- 敢于表达未完成的思考：\"这个问题我还在琢磨\"\n\n---\n\n## 六、自检清单\n\n修订完成后，问自己以下问题:\n- [ ] 是否还有\"首先...其次...最后\"的结构？\n- [ ] 是否有过于工整的排比句？\n- [ ] 技术术语是否保留了英文？\n- [ ] 是否有至少1-2处自然口语（\"btw\" \"其实\"）？注意\"说实话\"\"说白了\"是伪口语，不算\n- [ ] 段落长度是否有参差感？\n- [ ] 大声朗读时，是否听起来像你在说话而不是在背稿？\n- [ ] 是否删除了空洞的修饰词（\"深入\" \"全面\" \"显著\"）？\n- [ ] 结尾是否实际且可执行，而非\"美好展望\"？\n- [ ] \"我\"字是否泛滥？全文超过5个就要开始删\n- [ ] 是否有首尾呼应（同一个观点开头结尾各说一遍）？\n- [ ] 是否有宏大词汇轰炸（\"不可逆的浪潮\"、\"范式转移\"、\"时代大背景\"）？\n- [ ] 陈述事实时是否附带了主观评价，而不是纯客观罗列？\n- [ ] 是否使用了抽象黑话（如\"赋能\"、\"底层逻辑\"、\"仪式性努力\"等）？\n- [ ] 是否有强行分类的伪概念（如\"保守派/激进派\"、\"向内求索/向外扩展\"等）？\n- [ ] 是否有常识科普或爹味说教的内容？\n- [ ] 是否有鸡汤或情绪抚慰类的表达（如\"危机就是转机\"、\"这是成长的机会\"等）？\n\n---\n\n## 七、快速修订模板\n\n如果时间紧迫，使用以下最小修订清单:\n\n1. **批量替换**（30秒）:\n - \"首先\" → 删除或改\"第一个要说的是\"\n - \"其次\" → 删除或改\"另外\"\n - \"最后\" → 删除或改\"btw\"\n - \"总而言之\" → 删除整句\n - \"赋能\" → 删除或改具体动作\n - \"底层逻辑\" → 删除或改具体原因\n - \"仪式性努力\" → 删除或改\"花钱买心理安慰\"\n - \"危机就是转机\" → 删除或改具体困难和解决方法\n\n2. **挑3个最AI的句子重写**（3分钟）:\n - 找排比句 → 改成一长一短\n - 找空话 → 换成具体例子或数据\n - 找过渡句 → 删除或改\"说实话\"\n\n3. **加比喻**（最后手段，不是常规操作）:\n - 只有比喻真正比直说更清晰时才用，不要为了\"有人味\"强行加\n - **永久禁用**：\"简装房\"（仅限特定历史场景，不再泛用）\n - 原则：全篇最多 1 个，没有也完全可以\n\n4. **改结尾**（1分钟）:\n - 从\"展望未来\"改成\"下一步要做X\"\n - 或直接说\"这个事儿还没完全想清楚\"\n\n---\n\n## 附录：典型词汇黑白名单\n\n### 黑名单（尽量避免）\n- 深入、全面、系统、显著、有效\n- 充分、积极、持续、不断、进一步\n- 切实、扎实、务实、落实\n- 携手、共创、共赢\n- 赋能、触达、闭环、抓手、底层逻辑、仪式性努力、错失恐惧症、精神枷锁\n- 不难看出、值得注意的是、需要强调的是\n- **宏大词汇类**：不可逆的浪潮、现实的巨浪、时代大背景、范式转移、深刻变革、历史性时刻\n- **伪分类类**：保守派/激进派、向内求索/向外扩展、左派/右派、传统派/革新派\n- **鸡汤类**：危机就是转机、这是成长的机会、最重要的选择、挑战与机遇并存\n\n### 白名单（鼓励使用）\n- 说实话、其实、btw\n- 这让我想到、我觉得\n- 问题是、关键在于\n- 说白了、坦白讲\n- 技术术语（CVM, Lighthouse, GPU, infra, etc.）\n- 具体数据（3秒、0.1%、P95）\n- 比喻（最后手段：只在比喻真正比直说更清晰时用；全篇最多 1 个，没有也可以）\n- **永久禁用**：简装房（仅限特定历史场景，不再使用）\n\n---\n\n**使用建议**:\n1. 首次修订，严格按流程走一遍（约30分钟）\n2. 熟练后，用\"快速修订模板\"（5分钟搞定）\n3. 定期积累好的改写案例，丰富个人表达库\n4. 如果AI生成的某段特别符合你的思路，可以保留，不必过度修改\n\n**终极目标**: 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{"parentUuid":"5351b7b9-223a-41d9-a193-154ddeb1b898","isSidechain":false,"promptId":"eafe11dd-2124-40f9-a3ae-413df9f003b2","type":"user","message":{"role":"user","content":[{"tool_use_id":"call_3e1279d55c5e4b53987142c2","type":"tool_result","content":"1\t# 写作风格指南 (Writing Style Guide)\n2\t\n3\t## 1. 核心语感基因 (Style DNA)\n4\t* **结构化思考，碎片化表达**：\n5\t * 习惯使用清晰的列表（1, 2, 3...）和子弹点。\n6\t * 即便是复杂论述，也要拆解为明确的标题（如“现状”、“挑战”、“结语”）。\n7\t* **技术理想主义的浪漫**：\n8\t * 可以使用宏大的历史或文学隐喻（如：西西弗斯、巴别塔、福特生产线、魔法），但每篇文章**最多出现 1-2 个比喻**，不重复使用同一个。\n9\t * 将枯燥的技术概念”人格化”或”生活化”（如：服务器是宠物还是牛群）。\n10\t* **真诚且透明的“自黑”**：\n11\t * 不避讳谈及局限性或个人背景（“小镇做题家”）。以坦诚建立信任，反对官僚套话。\n12\t* **冷静的宿命感与乐观**：\n13\t * 语气中常带有“接受最坏情况，但坚持背水一战”的韧性。\n14\t\n15\t## 2. 沟通与词汇 (Communication & Vocabulary)\n16\t* **中英技术混排 (Bilingual Accuracy)**：\n17\t * 在中文叙述中自然嵌入技术或商务术语（如：btw, todo, hosting, computing, infra, winback, poc, roadmap）。\n18\t * 专业名词严格保留英文，追求表达的精确性。\n19\t* **结论先行 & “为什么”驱动**：\n20\t * 首先概述核心结论。\n21\t * 强调行动的合理性，解释“为什么要解决这个问题”。\n22\t* **零废话原则 (Zero Fluff)**：\n23\t * 省略无意义的寒暄和重复。直接输出核心逻辑。\n24\t\n25\t## 3. 输出规范 (Output Standards)\n26\t* **简洁有序**：逻辑结构必须是第一位的，多用子弹点。\n27\t* **去概念化**：擅长将复杂技术“人话化”。\n28\t* **纯文本倾向**：优先用自然语言分段，不用 Markdown 加粗（**xxx**）装饰普通词汇，不用 `---` 分割线制造仪式感，标题和有序列表仅在结构真正需要时使用。\n29\t* **减少解释**：尽量不要用括号来解释术语或者比喻，减少对流畅性的打断\n30\t\n31\t\n32\t## 4. 典型句式 (Patterns to Mimic)\n33\t* “其实我知道大家觉得...但是我也对此持有非常疑虑的态度，我必须要明确承认这一点。”\n34\t* “我们可以从两个极端角度来回答这些所有问题。”\n35\t* “云的理想非常直接，就是我们要建设一个IT的巴别塔。”\n36\t* “这不仅是炫技，更是为了解决...的矛盾。”\n37\t\n38\t## 5. 禁忌 (Strict Don'ts)\n39\t* **禁止**：说教式的语气（如”记得要注意...”）。\n40\t* **禁止**：在没有具体方案时使用空洞的鼓励话语。\n41\t* **禁止**：使用官僚色彩浓厚的行政套话。\n42\t* **禁止**：在输出文本中提及内部决策框架名称（GPA、IPO 等）——这些是内部推理工具，直接按原则行事即可，不需要向读者点名。\n43\t* **禁止**：在同一篇文章里重复使用同一个比喻；每篇文章比喻总量不超过 1-2 个，超出则删减。\n44\t* **永久禁用比喻**：”简装房”——这是特定历史场景下的表达，不再在任何生成内容中使用。\n45\t"}]},"uuid":"dafc3bc3-bbf0-41c4-a6e6-31e43109a31a","timestamp":"2026-04-18T11:51:05.227Z","toolUseResult":{"type":"text","file":{"filePath":"/root/projects/butler/writing_style.md","content":"# 写作风格指南 (Writing Style Guide)\n\n## 1. 核心语感基因 (Style DNA)\n* **结构化思考，碎片化表达**：\n * 习惯使用清晰的列表（1, 2, 3...）和子弹点。\n * 即便是复杂论述，也要拆解为明确的标题（如“现状”、“挑战”、“结语”）。\n* **技术理想主义的浪漫**：\n * 可以使用宏大的历史或文学隐喻（如：西西弗斯、巴别塔、福特生产线、魔法），但每篇文章**最多出现 1-2 个比喻**，不重复使用同一个。\n * 将枯燥的技术概念”人格化”或”生活化”（如：服务器是宠物还是牛群）。\n* **真诚且透明的“自黑”**：\n * 不避讳谈及局限性或个人背景（“小镇做题家”）。以坦诚建立信任，反对官僚套话。\n* **冷静的宿命感与乐观**：\n * 语气中常带有“接受最坏情况，但坚持背水一战”的韧性。\n\n## 2. 沟通与词汇 (Communication & Vocabulary)\n* **中英技术混排 (Bilingual Accuracy)**：\n * 在中文叙述中自然嵌入技术或商务术语（如：btw, todo, hosting, computing, infra, winback, poc, roadmap）。\n * 专业名词严格保留英文，追求表达的精确性。\n* **结论先行 & “为什么”驱动**：\n * 首先概述核心结论。\n * 强调行动的合理性，解释“为什么要解决这个问题”。\n* **零废话原则 (Zero Fluff)**：\n * 省略无意义的寒暄和重复。直接输出核心逻辑。\n\n## 3. 输出规范 (Output Standards)\n* **简洁有序**：逻辑结构必须是第一位的，多用子弹点。\n* **去概念化**：擅长将复杂技术“人话化”。\n* **纯文本倾向**：优先用自然语言分段，不用 Markdown 加粗（**xxx**）装饰普通词汇，不用 `---` 分割线制造仪式感，标题和有序列表仅在结构真正需要时使用。\n* **减少解释**：尽量不要用括号来解释术语或者比喻，减少对流畅性的打断\n\n\n## 4. 典型句式 (Patterns to Mimic)\n* “其实我知道大家觉得...但是我也对此持有非常疑虑的态度，我必须要明确承认这一点。”\n* “我们可以从两个极端角度来回答这些所有问题。”\n* “云的理想非常直接，就是我们要建设一个IT的巴别塔。”\n* “这不仅是炫技，更是为了解决...的矛盾。”\n\n## 5. 禁忌 (Strict Don'ts)\n* **禁止**：说教式的语气（如”记得要注意...”）。\n* **禁止**：在没有具体方案时使用空洞的鼓励话语。\n* **禁止**：使用官僚色彩浓厚的行政套话。\n* **禁止**：在输出文本中提及内部决策框架名称（GPA、IPO 等）——这些是内部推理工具，直接按原则行事即可，不需要向读者点名。\n* **禁止**：在同一篇文章里重复使用同一个比喻；每篇文章比喻总量不超过 1-2 个，超出则删减。\n* **永久禁用比喻**：”简装房”——这是特定历史场景下的表达，不再在任何生成内容中使用。\n","numLines":45,"startLine":1,"totalLines":45}},"sourceToolAssistantUUID":"5351b7b9-223a-41d9-a193-154ddeb1b898","userType":"external","entrypoint":"cli","cwd":"/root/projects/butler","sessionId":"e55a7e79-e8b1-4155-95e3-33909f9f82b9","version":"2.1.114","gitBranch":"HEAD"}
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