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capture-learning捕捉学习

Agent Skill

capture-learning 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 Codex、Claude、Cursor、Gemini CLI 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

698

周安装

30

GitHub Stars

1

下载量

245
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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:capture-learning(捕捉学习)
来源仓库:https://github.com/skinnyandbald/fish-skills
仓库路径:skills/capture-learning
安装命令:
npx skills add https://github.com/skinnyandbald/fish-skills --skill capture-learning
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/skinnyandbald/fish-skills --skill capture-learning

简介

capture-learning 用于记录任务执行中的错误、用户纠正和经验,适合在 Codex、Claude、Cursor、Gemini CLI 中持续沉淀问题。

  • 适用于希望让 Agent 修正最佳实践或记录能力缺口的场景。
  • 支持错误记录和经验沉淀功能。
  • 安装命令:npx skills add https://github.com/skinnyandbald/fish-skills --skill capture-learning。
  • 建议确认权限范围和维护状态,注意是否会触发联网或文件读写操作。

SKILL.md

Capture Learning

Capture comprehensive problem-solving narratives from our work sessions, documenting not just the solution but the entire journey of discovery.

Purpose

This command captures the full narrative of problem-solving: what we thought was true, what we discovered was actually true, the troubleshooting journey, and the lessons learned. This narrative format makes it easy to harvest insights for updating documentation, commands, or pipelines.

Usage

# Interactive mode - guides you through the narrative
bun ~/.claude/skills/capture-learning/scripts/capture-learning.ts

# Direct mode with full narrative (all 6 arguments)
bun ~/.claude/skills/capture-learning/scripts/capture-learning.ts "problem" "initial assumption" "actual reality" "troubleshooting steps" "solution" "key takeaway"

Trigger Phrases

When you say any of these, I'll capture our learning:

  • "Great job, log this"
  • "Nice work, make a record"
  • "Document this"
  • "Capture this learning"
  • "Save this for later"
  • "That worked!"

The Narrative Structure

The command captures a complete story with these elements:

  1. The Problem - What issue did we encounter?
  2. Initial Assumption - "We thought this was true..."
  3. Actual Reality - "What we realized was actually true..."
  4. Troubleshooting Journey - Steps we took to discover the truth
  5. The Solution - What finally worked
  6. The Takeaway - "So now we know..." or "So now we do it this way..."
  7. Promote to Global? - Optionally write to ~/.claude/learnings/global-patterns.md for cross-project knowledge

Why This Format?

This narrative approach helps us:

  • Remember the journey, not just the destination
  • Understand WHY the solution works
  • Recognize similar patterns in future problems
  • Update our mental models and documentation
  • Share knowledge effectively with others

Output

Files are saved to: <project-root>/.claude/learnings/YYYY-MM-DD-problem-description.md

If not inside a git repository, falls back to ~/.claude/learnings/.

Each file contains:

  • Full narrative story
  • Before/after comparison
  • Technical details and commands used
  • Actionable takeaways for future reference

Making learnings active

Claude Code doesn't automatically read the learnings directory. Add this to your project's CLAUDE.md so Claude checks them each session:

## Learnings
Before starting work, check `.claude/learnings/` for relevant past
problem-solving narratives. Apply those lessons instead of repeating
mistakes.

**IMPORTANT:** After solving any non-trivial debugging session or
discovering something that contradicts an initial assumption, invoke
`/capture-learning` before moving on. Do not skip this step.

Implementation

The TypeScript implementation is in scripts/capture-learning.ts.

The command:

  • Prompts for all 6 narrative elements if not provided
  • Detects the git root and saves to <project>/.claude/learnings/
  • Names files with date and problem description
  • Generates a comprehensive learning narrative

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

37.55%
按下载量换算92

Claude

30.66%
按下载量换算75

Cursor

16.55%
按下载量换算41

Gemini CLI

9.8%
按下载量换算24

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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