personal-profile-generator

SKILL研究检索
研究检索 未标注权限 许可证不明确
安装这个技能

Generate a personal work profile from a user's own Feishu/Lark documents, calendar or meeting traces, chat history, persistent memory, and prior profile records. Suitable for creating, analyzing, updating, or storing a personal work portrait, career profile, work style summary, growth direction, strengths positioning, or hand-drawn style profile infographic based on collaboration data. Supports portable Feishu/Lark CLI workflows for different users, tenants, and profiles.

一句话选型结论

按资料字段整理

personal-profile-generator是研究检索类的 Agent Skill,安装方式未标注,权限级别未标注,许可证不明确,有可直接复制的安装命令。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类研究检索 安装方式未标注 权限级别未标注权限 许可证许可证不明确
累计安装 未标注 本周 未标注
GitHub 星标 未标注 仓库 未标注
下载量 未标注 技能市场下载数
权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

未标注
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
skillhub install user_e6037293/personal-profile-generator
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    执行上面的命令安装;也可以把仓库里的 SKILL.md 手动放进客户端的 skills 目录。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

研究检索
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方user_e6037293仓库 未标注 · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式未标注安装包 community
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验未标注上游最后核验时间 · 数据更新 1791622664
正文体量4.7 KBSKILL.md 原文大小,越大说明说明书写得越细

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
查资料并整理出处

让模型按主题查资料,并把引用来源整理成清单。

网页与文献要点提炼

把长文、论文、网页压成能直接看的要点。

竞品与行业汇总

按关键词汇总竞品动态与行业信息。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 有可直接复制的安装命令,不用自己翻文档找入口。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在研究检索场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
personal-profile-generator当前 未标注权限 未标注 未标注 未标注 有
寻找技能 浏览器控制 GitHub 仓库 3120.0 万 Codex、Claude、Cursor 有
自我改进 Agent 接触敏感数据 ClawHub 市场 1646.4 万 OpenClaw 有
灵魂追踪 联网访问 GitHub 仓库 758.9 万 Codex、Claude、Cursor 有
自我完善 联网访问 ClawHub 市场 682.9 万 OpenClaw 有
微软代工厂 调用外部服务 GitHub 仓库 661.4 万 Codex、Claude、Cursor 有

SKILL.md 全文

4.7 KB
模型实际读到的说明书原文,来自技能仓库

Personal Profile Generator

Purpose

Generate an evidence-backed personal work profile by collecting multi-source work signals from the current user's authorized workspace, extracting concise traits, saving reusable profile memory when possible, and delivering a readable report plus an optional infographic prompt.

It is designed for portable Feishu/Lark CLI workflows across different users, tenants, and workspaces.

Workflow

  1. Establish the user's environment:
    - Locate the available Feishu/Lark CLI command.
    - Check configured profiles and the current authorized user.
    - Never assume a hardcoded profile, tenant, app, local path, or person.
  2. Confirm scope only if missing or risky:
    - Target person: default to the current authorized Feishu/Lark user for the selected profile.
    - Time range: default to the last 30 days.
    - Output: default to a markdown report; add infographic prompt unless the user asks for image generation.
  3. Collect evidence from available sources:
    - Feishu documents and Wiki pages edited, created, searched, or referenced by the user.
    - Calendar events, meeting titles, meeting notes, and minutes if accessible.
    - Feishu IM groups and messages where permitted.
    - Local persistent memory files and prior profile records if present.
  4. Build an evidence ledger before judging:
    - Record source, date, short quote or paraphrase, inferred signal, and confidence.
    - Separate observed facts from interpretation.
    - Prefer repeated signals across sources over one-off anecdotes.
  5. Derive three core labels:
    - 工作画像: 7 Chinese characters or fewer.
    - 工作风格: 7 Chinese characters or fewer.
    - 成长方向: 10 Chinese characters or fewer.
  6. Generate the report:
    - Load references/profile-schema.md.
    - Follow its report sections, core trait constraints, evidence ledger, quality bar, and save format.
    - For Chinese-facing maintenance, use references/zh-CN-output-spec.md as the Chinese companion spec.
  7. Persist the result when a persistence mechanism is available:
    - Prefer the user's existing profile store or memory convention.
    - If no store exists, create/update a local JSON file only when the user asked for a saved artifact.
  8. Optionally create or prompt an infographic:
    - Use a hand-drawn, warm, structured information-card style.
    - Include the three labels, capability tags, evidence highlights, representative scenarios, and track advice.
    - If the user asks to generate the image directly, load references/infographic-generation.md, build the final image prompt from the profile, then call the image generation tool.

Evidence Rules

  • Do not invent inaccessible data. Say which sources were unavailable or unauthorized.
  • Do not request broad permissions silently. Explain missing scopes and ask before initiating a new authorization flow.
  • Do not overfit on a single document, meeting, or message.
  • Keep sensitive raw chat excerpts minimal; paraphrase unless the exact wording matters.
  • Treat profile labels as hypotheses grounded in evidence, not fixed judgments.
  • When data is thin, produce a "low-confidence draft" and list the missing evidence needed.

Feishu CLI Collection

When the task involves Feishu/Lark data, read references/feishu-cli.md for portable command patterns, profile discovery, authorization, and scope checks.

Reference Routing

Load reference files on demand for the current task; do not load every reference by default.

  • references/feishu-cli.md: portable Feishu/Lark CLI setup, profile selection, authorization, and data collection.
  • references/profile-schema.md: final report sections, core trait constraints, evidence ledger, save format, and infographic data contract.
  • references/infographic-generation.md: hand-drawn image, visual card, poster, infographic, or profile map generation requirements.

Chinese reference versions are available for maintainers and Chinese-speaking users:

  • references/zh-CN-overview.md: Chinese usage overview and workflow.
  • references/zh-CN-feishu-cli.md: Portable Feishu/Lark CLI setup and data collection guide.
  • references/zh-CN-output-spec.md: Chinese output schema, quality bar, and infographic prompt guide.

常见问题

5 问
答案由本站依据条目字段整理
personal-profile-generator怎么安装?

在支持 Skills 的客户端里执行:skillhub install user_e6037293/personal-profile-generator。安装方式为未标注。装完刷新技能列表或重开客户端。

personal-profile-generator支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

personal-profile-generator权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

personal-profile-generator收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

personal-profile-generator用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

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技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 未标注。