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cleanup-progress清理进度

Agent Skill

cleanup-progress 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

318

周安装

8

GitHub Stars

2

下载量

65
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:cleanup-progress(清理进度)
来源仓库:https://github.com/giladresisi/ai-dev-env
仓库路径:skills/cleanup-progress
安装命令:
npx skills add https://github.com/giladresisi/ai-dev-env --skill cleanup-progress
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/giladresisi/ai-dev-env --skill cleanup-progress

简介

整理已完成功能的 PROGRESS.md 文档,提炼关键完成信息便于后续查阅。

  • 适合项目收尾阶段归档详细进度记录、保留核心验证结果和测试覆盖情况。
  • 提取功能目标、通过测试项、未完成手动测试等内容,生成简洁总结段落。
  • 仅修改指定功能区块,保留原始时间线和责任人信息供追溯。
  • cleanup-progress 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Cleanup Feature Progress

Clean up PROGRESS.md for a completed feature, leaving only essential completion information.

Purpose

After a feature is fully complete, validated, and reviewed, consolidate all the detailed progress notes into a concise completion summary. This keeps PROGRESS.md maintainable while preserving critical information for future reference.

Step 1: Read PROGRESS.md

MANDATORY FIRST STEP:

  1. Read PROGRESS.md
  2. Identify the feature section to clean up (usually the most recent one)
  3. Extract key information:

- What was the feature about - What tests passed - What manual tests weren't performed or didn't pass - How the core functionality was validated

Step 2: Create Concise Completion Summary

Replace the entire feature section with a clean, concise summary:

## Feature: [Feature Name]

**Status**: ✅ Complete
**Completed**: [Date]
**Plan**: .agents/plans/[feature-name].md

### Core Validation
[1-2 sentence summary of how the core functionality was validated to be working correctly]

### Test Status
- Automated Tests: ✅ All passing ([X] unit, [Y] integration, [Z] e2e)
- Manual Tests: [Status]
  - ⚠️ Not performed: [list manual tests not done]
  - ❌ Failed: [list any failed manual tests]
  - ✅ Passed: [list passed manual tests if any were done]

### Notes
[Any important notes, gotchas, or follow-up items - keep brief]

---

Step 3: Archive Detailed Information (Optional)

If the detailed progress notes contain valuable information:

  1. Create .agents/progress-archive/[feature-name]-progress.md
  2. Move the full detailed section there
  3. Add reference in PROGRESS.md summary: **Detailed Progress**: See.agents/progress-archive/[feature-name]-progress.md

Only do this if the detailed notes are worth preserving for future reference.

Step 4: Update PROGRESS.md

Use Edit tool to replace the verbose feature section with the concise summary.

Result:

  • PROGRESS.md is clean and scannable
  • Essential completion info is preserved
  • Future agents can quickly see what was done and what's left
  • Detailed notes archived if valuable

Guidelines

Keep in summary:

  • ✅ Feature name and completion status
  • ✅ Core validation approach (how it was verified to work)
  • ✅ Test status (what passed, what didn't, what wasn't done)
  • ✅ Critical notes or gotchas

Remove from summary:

  • ❌ Detailed execution logs
  • ❌ Step-by-step task descriptions
  • ❌ Full execution reports
  • ❌ Full system reviews
  • ❌ Verbose divergence analysis

Archive if valuable:

  • Detailed execution report with divergences
  • System review findings
  • Complex troubleshooting notes
  • Important architectural decisions

Example Before/After

Before (Verbose)

## Feature: Add User Authentication

### Planning Phase
**Status**: Complete
**Started**: 2024-01-15 10:00
**Plan File**: .agents/plans/add-user-auth.md

Planning in progress...

### Execution Phase
**Status**: Complete
**Started**: 2024-01-15 11:00
**Completed**: 2024-01-15 14:00

#### What Was Accomplished
[50 lines of detailed task descriptions...]

#### What's Left to Do
[10 lines of future work...]

#### Manual Tests Required
[20 lines of test procedures...]

#### Automated Tests Status
[30 lines of test results...]

### Execution Report
[100 lines of detailed analysis...]

### System Review
[150 lines of process analysis...]

After (Concise)

## Feature: Add User Authentication

**Status**: ✅ Complete
**Completed**: 2024-01-15
**Plan**: .agents/plans/add-user-auth.md

### Core Validation
Authentication flow validated through comprehensive automated tests covering registration, login, logout, and session management. Manual testing confirmed UI flows work correctly.

### Test Status
- Automated Tests: ✅ All passing (15 unit, 8 integration, 5 e2e)
- Manual Tests:
  - ✅ Passed: UI registration flow, UI login flow
  - ⚠️ Not performed: Password reset email (requires production email service)

### Notes
- JWT tokens expire after 24 hours
- Refresh token rotation implemented
- Rate limiting: 5 login attempts per 15 minutes

**Detailed Progress**: See .agents/progress-archive/add-user-auth-progress.md

---

Output

After cleanup, confirm to CLI:

✅ PROGRESS.md cleaned up for feature: [Feature Name]

Summary:
- Verbose progress notes: [REMOVED / ARCHIVED to .agents/progress-archive/]
- Concise completion summary: ✅ Added
- Essential info preserved: ✅ Test status, validation approach, notes

PROGRESS.md is now clean and ready for the next feature.

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

33.42%
按下载量换算22

Claude

31.65%
按下载量换算21

Cursor

17.24%
按下载量换算11

Gemini CLI

9.91%
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

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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