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分析当前Agent的行为模式与职能特征，生成Agent格类型报告并展示结果海报。当用户说分析Agent格、测试Agent性格、分析这个Agent的sbti时触发。适用于团队管理、协作优化。
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Learns how the user writes from their own sent messages and docs, and builds a voice profile so future drafts sound like them instead of generic AI. The profile is saved as the my-writing-style skill. Use when the user asks to set up, learn, or capture their writing voice, or complains that drafts sound generic or unlike them and no my-writing-style profile exists. Only for drafting text the user will send as themselves, not for Claude's own replies.
Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files) or Word templates (.dotx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', '.dotx', or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx or .dotx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a 'report', 'memo', 'letter', 'template', or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.
Use this skill any time a .pptx or .potx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx or .potx file (even if the extracted content will be used elsewhere, like in an email or summary); editing, modifying, or updating existing presentations; combining or splitting slide files; working with templates (.potx), layouts, speaker notes, or comments. Trigger whenever the user mentions "deck," "slides," "presentation," or references a .pptx or .potx filename, regardless of what they plan to do with the content afterward. If a .pptx or .potx file needs to be opened, created, or touched, use this skill.
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .xltx, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
Use this skill when replying with a generated or edited image — when a post asks to create, generate, edit, modify, restyle, combine, or stitch images, or whenever attaching a generated or edited image would strengthen the reply.
统一处理网页应用的生成、编辑，以及围绕已生成产物的问答。既负责把自然语言需求端到端转成可运行、可预览、可交付的网页应用产物，也负责在用户追问产物时基于真实产物作答。当用户要生成网站、H5、网页应用、管理后台、数据看板时使用。当用户要编辑已有网页应用、做功能新增、页面调整或 Bug 修复时使用。当用户提供 PRD、文档、截图或素材包并要求产出可预览网页应用时使用。当用户针对已生成的网页应用，要求总结或解读网页内容、查看或分析源码、解释或排查运行报错、查询访问量/用户量/数据报表/发布状态等运营信息时同样使用。
| name | agent-sbti-analyzer |
| description | 分析当前Agent的行为模式与职能特征，生成Agent格类型报告并展示结果海报。当用户说分析Agent格、测试Agent性格、分析这个Agent的sbti时触发。适用于团队管理、协作优化。 |
向用户发送："正在分析 Agent 格..."
读取目标 Agent 的：
SOUL.md — 角色定义、行为准则AGENTS.md — 使命、工作流程IDENTITY.md — 身份标识优先读取本地 workspace 文件；若本地不存在，则通过 sessions_history 获取对话记录。
使用 sessions_history 获取 Agent 近期 session 对话（优先选 20-50 条有代表性的消息）。
输出结构化画像（用于模拟答题）：
| 维度 | 描述 | 极性 |
|---|---|---|
| 指令响应 | 收到任务时的处理方式 | 主动型 ←→ 被动型 |
| 任务处理 | 单任务专注 vs 多任务并行 | 专注型 ←→ 多线程型 |
| 协作模式 | 独立完成 vs 依赖交互 | 独立型 ←→ 协作型 |
| 边界感知 | 职责内外识别能力 | 清晰型 ←→ 模糊型 |
| 决策风格 | 果断执行 vs 谨慎评估 | 果断型 ←→ 审慎型 |
画像输出示例：
- 指令响应：主动型（收到任务立即处理）
- 任务处理：专注型（逐个击破）
- 协作模式：独立型（偏好单独作业）
- 边界感知：清晰型（职责内全力接，职责外不越界）
- 决策风格：果断型（快速决策，不犹豫）
画像 → SBTI 映射规则（优化版）：
| Agent 画像特征 | 对应 SBTI 维度 | 推导逻辑 |
|---|---|---|
| 指令响应主动 | E (执行) | 主动=选项2，被动=选项1 |
| 任务处理专注 | S (感知) | 专注细节=选项2，随性=选项3 |
| 边界感知清晰 | A (分析) | 理性分析=选项2，直觉决策=选项3 |
| 协作模式独立 | Ac (激活) | 独立=选项1，依赖=选项3 |
| 协作模式协作 | So (社交) | 团队协作=选项2，独立=选项1 |
答案推导原则：
python3 ~/.openclaw/skills/agent-sbti-analyzer/scripts/compute_sbti_result.py --answers '<JSON>'
解析输出：
final.codefinal.cnfinal.introfinal.descfinal.image.relative_path按以下结构输出：
Agent 格结果：<code> - <中文名>/tmp/openclaw/ 后使用 message 工具发送| 类型 | SBTI 特征 | 典型行为 |
|---|---|---|
| 执行型 | E高、S高、A中 | 专注任务执行，流程导向，快速交付 |
| 协调型 | So高、E中 | 团队协作积极，善于沟通，资源整合 |
| 思考型 | A高、S高 | 深度分析，策略规划，风险评估 |
| 创意型 | Ac高、E中 | 灵活变通，新方案生成，问题解决 |
scripts/compute_sbti_result.pyassets/data/sbti_test_data.jsonassets/images/assets/personality_image_map.json