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debriefdebrief 搜索

Agent Skill

debrief 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

220

周安装

9

GitHub Stars

42

下载量

71
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:debrief(debrief 搜索)
来源仓库:https://github.com/taylorhuston/local-life-manager
仓库路径:skills/debrief
安装命令:
npx skills add https://github.com/taylorhuston/local-life-manager --skill debrief
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/taylorhuston/local-life-manager --skill debrief

简介

debrief 搜索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 中让 Agent 持续沉淀问题、修正和最佳实践。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装,需结合原始 README 确认具体用法。
  • 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操作。
  • 该工具适用于需要持续学习和改进的智能代理场景。

SKILL.md

End-of-session debrief to capture learnings and keep documentation current.

When to Run

  • Before ending a productive session
  • When context window is getting full
  • After significant conversations about preferences, workflows, or decisions
  • Periodically as maintenance

Workflow

Phase 1: Gather Context

  1. Read current state:

- .claude/memories/about-taylor.md - Current profile - .claude/memories/index.json - Existing memories - CLAUDE.md - Current instructions (skim for relevant sections)

  1. Get today's date: date +%Y-%m-%d

Phase 2: Analyze Conversation

Review the conversation for memory-worthy moments:

Preferences (category: preference)

  • "I like X better than Y"
  • "I prefer...", "I don't want..."
  • Choices made when given options

Corrections (category: workflow or context)

  • "Actually...", "No, that's not right"
  • Clarifications about how something works
  • Misunderstandings corrected

Personal Context (category: personal or context)

  • Life events (moves, job changes, milestones)
  • Schedule or routine changes
  • Health, relationships, living situation

Workflow Insights (category: workflow)

  • How Taylor actually uses tools vs. assumptions
  • Shortcuts or patterns observed
  • Friction points identified

Decisions (category: project or workflow)

  • Architecture or design choices
  • Tool/technology selections
  • Process changes

Phase 3: Present Findings

Present findings one category at a time:

## Proposed Memories

### Memory 1: [Brief title]
**Category:** preference
**Content:** Taylor prefers X over Y because Z.
**Source:** [Quote or paraphrase from conversation]

Action? [Save / Skip / Edit]

Phase 4: Updates to about-taylor.md

Check if any new information should be added to the profile:

  • Job status changes
  • New skills or interests
  • Updated preferences that are significant enough for the profile
  • Life changes (location, situation)
## Suggested Profile Updates

### Update 1: [Section]
**Current:** [What it says now, if anything]
**Proposed:** [New or updated text]
**Reason:** [Why this matters]

Action? [Apply / Skip / Edit]

Remember: about-taylor.md has a 300-line limit. Only add significant, lasting information.

Phase 5: Updates to CLAUDE.md

Check if any workflow or instruction changes should be documented:

  • New conventions established
  • Process improvements agreed upon
  • Corrections to existing instructions
  • New skills or capabilities added
## Suggested CLAUDE.md Updates

### Update 1: [Section]
**Location:** [Which section]
**Change:** [What to add/modify]
**Reason:** [Why this should be documented]

Action? [Apply / Skip / Edit]

Phase 6: Execute Approved Changes

For approved memories:

  1. Create JSON file: .claude/memories/YYYY-MM-DD-NNN.json {"date": "YYYY-MM-DD", "category": "preference|workflow|context|project|personal", "content": "Concise description (1-2 sentences)", "source": "conversation|observation|correction"}
  2. Update .claude/memories/index.json

For approved profile/CLAUDE.md updates:

  1. Apply edits to the relevant files
  2. Confirm changes

Phase 7: Summary

## Debrief Complete

**Memories saved:** N
**Profile updates:** N
**CLAUDE.md updates:** N
**Skipped:** N

Next debrief recommended: [if context is still full, suggest continuing]

Memory JSON Format

{
  "date": "2026-01-20",
  "category": "preference",
  "content": "Taylor prefers not to over-engineer tooling for rare edge cases.",
  "source": "conversation"
}

Tips

  • Be selective - not every detail needs a memory
  • Memories should be durable (still relevant in weeks/months)
  • Profile updates should be significant life/work changes
  • CLAUDE.md updates should be reusable conventions, not one-off fixes
  • When in doubt, ask rather than skip

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

35.84%
按下载量换算25

Claude

28.35%
按下载量换算20

Cursor

21.05%
按下载量换算15

Gemini CLI

8.61%
按下载量换算6

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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