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Agent Skill · 研究检索

learning-documentation-skill(学习文档技能)

用于辅助文档、README、Markdown、说明文和内容稿件的整理与改写。它适合让 Agent 提炼结构、补齐章节、统一术语、检查链接或把零散材料整理成可读文档。使用时应保留项目已有事实、命令和路径,不要把未确认的信息写成确定结论;涉及对外文案时,还需要控制语气,避免过度营销或夸大能力。

learning-documentation-skill 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 41,968。

总安装 1,123周安装 45GitHub Stars 5下载 364核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:learning-documentation-skill(学习文档技能)
来源仓库:https://github.com/breverdbidder/life-os
仓库路径:skills/learning-documentation-skill
安装命令:
npx skills add https://github.com/breverdbidder/life-os --skill learning-documentation-skill
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/breverdbidder/life-os --skill learning-documentation-skill

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

辅助文档、README 和内容稿件的整理与改写,提升可读性和结构清晰度。适合提炼章节、统一术语、检查链接或整合零散材料为规范文档。使用时应保留项目事实,避免将未确认信息写成确定结论。涉及对外文案时需控制语气,防止过度营销或夸大能力描述。

learning-documentation-skill 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/learning-documentation-skill

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/breverdbidder/life-os --skill learning-documen…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

learning-documentation-skill 怎么安装?

在终端执行 npx skills add https://github.com/breverdbidder/life-os --skill learning-documentation-ski…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

learning-documentation-skill 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

learning-documentation-skill 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

learning-documentation-skill 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

learning-documentation-skill 用的人多吗?

公开数据是累计安装 1,123 次,近一周安装 45 次,下载 364 次,GitHub 5 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

learning-documentation-skill 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
learning-documentation-skill

学习文档技能 · 本页

1,1235调用外部服务未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Learning Documentation Skill

Systematically documents learning activities, insights, and knowledge to Life OS Supabase database.

When to Use This Skill

  • After completing learning activity (video, article, course)
  • Documenting insights from experiments
  • Storing reference material for future use
  • Building knowledge base over time
  • Creating searchable learning archive

Supabase Structure

Table: insights Location: mocerqjnksmhcjzxrewo.supabase.co

Required Fields:

  • category: Primary classification
  • subcategory: Secondary classification
  • title: Brief descriptive title
  • content: Main content (JSON for structured data)
  • metadata: Additional context (optional)

Category Taxonomy

Primary Categories

learning:

  • Subcategories: youtube_transcript, article, book, course, experiment
  • Use: General knowledge acquisition

michael_swim:

  • Subcategories: recruiting, meet_results, training, nutrition
  • Use: Michael's swimming-related activities

mcp_reference:

  • Subcategories: architecture, claude_skills, integration_patterns
  • Use: MCP and Claude technical documentation

business:

  • Subcategories: biddeed_ai, everest_capital, strategy
  • Use: Business insights and decisions

adhd:

  • Subcategories: task_patterns, interventions, productivity
  • Use: ADHD management insights

family:

  • Subcategories: shabbat, holidays, events
  • Use: Family activities and observances

YouTube Transcript Documentation

When: After youtube_transcript.yml workflow completes

Format:

{
  "category": "learning",
  "subcategory": "youtube_transcript",
  "title": "Claude Skills Tutorial - 6 Essential Skills",
  "content": {
    "video_id": "thxXGxYIwUI",
    "video_url": "https://youtu.be/thxXGxYIwUI",
    "transcript_summary": "Tutorial on 6 Claude skills: frontend-design, domain-brainstormer, stripe-integration, content-writer, lead-research, skill-creator",
    "key_takeaways": [
      "Skills only load when needed (memory efficient)",
      "Progressive disclosure: ~100 tokens metadata, <5k when active",
      "Can build custom skills using skill-creator"
    ],
    "action_items": [
      "Deploy 6 base skills to both repos",
      "Build custom foreclosure-analysis-skill",
      "Create ADHD task management skill"
    ],
    "source": "apify"
  },
  "metadata": {
    "duration_minutes": 15,
    "watched_date": "2025-12-25",
    "relevance": "high"
  }
}

Article/Blog Documentation

Format:

{
  "category": "learning",
  "subcategory": "article",
  "title": "MCP Architecture Deep Dive",
  "content": {
    "url": "https://example.com/mcp-architecture",
    "author": "Anthropic",
    "published_date": "2025-01-15",
    "key_concepts": [
      "Tool-based architecture",
      "Progressive disclosure",
      "Context injection patterns"
    ],
    "quotes": [
      "Skills are prompt templates that inject domain-specific instructions"
    ],
    "personal_notes": "This explains why skills are more efficient than rules"
  }
}

Experiment/Test Documentation

Format:

{
  "category": "business",
  "subcategory": "biddeed_ai",
  "title": "Smart Router V5 Performance Test",
  "content": {
    "experiment_date": "2025-12-24",
    "hypothesis": "Gemini 2.5 Flash can handle 40-55% of requests",
    "methodology": "Run 100 auction analyses, track FREE vs PAID tier usage",
    "results": {
      "free_tier_percentage": 52,
      "paid_tier_percentage": 48,
      "cost_savings": "$28/month"
    },
    "conclusion": "Target achieved, deploying to production",
    "next_steps": [
      "Monitor for 1 week",
      "Adjust thresholds if needed"
    ]
  }
}

Michael Swimming Documentation

Meet Results:

{
  "category": "michael_swim",
  "subcategory": "meet_results",
  "title": "Harry Meisel Meet - December 2025",
  "content": {
    "meet_name": "Harry Meisel Invitational",
    "date": "2025-12-13",
    "location": "Orlando, FL",
    "results": [
      {
        "event": "50 Free",
        "time": "21.85",
        "place": 3,
        "improvement": "-0.15 from previous"
      },
      {
        "event": "100 Free",
        "time": "47.92",
        "place": 5,
        "improvement": "-0.32 from previous"
      }
    ],
    "notes": "Strong performance, time drops across all events",
    "coach_notifications": ["UF", "FSU", "NC State"]
  }
}

Recruiting Activity:

{
  "category": "michael_swim",
  "subcategory": "recruiting",
  "title": "Coach Outreach - University of Florida",
  "content": {
    "university": "University of Florida",
    "coach_name": "Anthony Nesty",
    "contact_date": "2025-12-20",
    "type": "initial_email",
    "response_received": false,
    "follow_up_date": "2026-01-03"
  }
}

Markdown Formatting Standards

For content field (when storing markdown):

# Title

## Key Points
- Point 1
- Point 2

## Takeaways
1. First takeaway
2. Second takeaway

## Action Items
- [ ] Action 1
- [ ] Action 2

## References
- [Source 1](url)
- [Source 2](url)

Keep it clean:

  • Use headers (##) for sections
  • Use bullet points for lists
  • Use checkboxes for action items
  • Include URLs for references
  • NO excessive formatting

Insertion Workflow

Via GitHub Actions (Recommended)

BidDeed.AI repo:

workflow: .github/workflows/insert_insight.yml
inputs:
  category: "mcp_reference"
  subcategory: "claude_skills"
  title: "Phase 1 Skills Deployed"
  content: "{json_content}"

Life OS repo:

workflow: .github/workflows/insert_insight.yml
inputs:
  category: "learning"
  subcategory: "youtube_transcript"
  title: "Video Title"
  content: "{json_content}"

Direct Supabase Insert (Use Sparingly)

Only when GitHub Actions not available:

import requests

response = requests.post(
    "https://mocerqjnksmhcjzxrewo.supabase.co/rest/v1/insights",
    headers={
        "apikey": "YOUR_ANON_KEY",
        "Content-Type": "application/json"
    },
    json={
        "category": "learning",
        "subcategory": "article",
        "title": "Example Title",
        "content": {"key": "value"}
    }
)

Retrieval Patterns

Search by category:

SELECT * FROM insights
WHERE category = 'learning'
ORDER BY created_at DESC
LIMIT 10

Search by keywords:

SELECT * FROM insights
WHERE title ILIKE '%claude skills%'
OR content::text ILIKE '%claude skills%'

Recent activity:

SELECT category, subcategory, title, created_at
FROM insights
WHERE created_at > NOW() - INTERVAL '7 days'
ORDER BY created_at DESC

Best Practices

DO:

  • ✓ Use consistent category/subcategory
  • ✓ Write descriptive titles
  • ✓ Structure content as JSON when possible
  • ✓ Include action items when relevant
  • ✓ Tag for future searchability

DON'T:

  • ✗ Duplicate entries (check before inserting)
  • ✗ Use vague titles ("Notes", "Misc")
  • ✗ Store sensitive data (API keys, passwords)
  • ✗ Overwrite existing valuable entries
  • ✗ Insert empty or placeholder content

Example Usage

"Use learning-documentation-skill to log the Claude skills video transcript"

"Document experiment results for Smart Router V5"

"Log Michael's meet results from Harry Meisel"

Integration with Other Skills

After youtube_transcript workflow:

1. Transcript generated
2. Use learning-documentation-skill
3. Log to Supabase insights table
4. Category: learning, subcategory: youtube_transcript

After task completion:

1. Task marked COMPLETED
2. Use learning-documentation-skill
3. Log patterns/insights discovered
4. Category: adhd, subcategory: task_patterns

Critical Reminders

  1. Consistent Taxonomy: Always use standard categories
  2. JSON Structure: Structured data > plain text
  3. Action Items: Extract and track actionable insights
  4. No Duplicates: Search before inserting
  5. Future Self: Write for searchability later

平台分布

Codex

33.42%
按下载量换算122

Claude

32.42%
按下载量换算118

Cursor

20.67%
按下载量换算75

Gemini CLI

8.84%
按下载量换算32

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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