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Agent Skill · 研究检索

checkpointing(checkpointing 搜索)

checkpointing 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。

checkpointing 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,权限为执行命令;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 47,879。

总安装 714周安装 12GitHub Stars 135下载 97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:checkpointing(checkpointing 搜索)
来源仓库:https://github.com/del-taiseiozaki/claude-code-orchestra
仓库路径:skills/checkpointing
安装命令:
npx skills add https://github.com/del-taiseiozaki/claude-code-orchestra --skill checkpointing
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/del-taiseiozaki/claude-code-orchestra --skill checkpointing

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。

Checkpointing 实现会话全量录制与模式发现,支持全流程回放与复用。自动收集 Git 日志、CLI 记录、团队协作活动和设计决策变更等完整上下文。每次运行生成带时间戳的检查点文件,便于回溯历史状态和分析行为模式。使用前应核实本地存储路径权限,避免覆盖重要数据或产生意外写入。

checkpointing 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/checkpointing

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/del-taiseiozaki/claude-code-orchestra --skill…;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

    它需要执行命令,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

checkpointing 怎么安装?

在终端执行 npx skills add https://github.com/del-taiseiozaki/claude-code-orchestra --skill checkpoint…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

checkpointing 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。

checkpointing 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/del-taiseiozaki/claude-code-orchestra --skill checkpointing 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

checkpointing 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。

checkpointing 用的人多吗?

公开数据是累计安装 714 次,近一周安装 12 次,下载 97 次,GitHub 135 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。

checkpointing 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

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

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 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

  • 不能接受 Skill 在你机器上执行命令的人。
  • 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
checkpointing

checkpointing 搜索 · 本页

714135执行命令未明确未通过

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

Checkpointing — Full Session Recording and Pattern Discovery

Record all session activity and discover reusable patterns. Run everything, every time.

What It Does (Every Time)

/checkpointing
    ↓
┌─────────────────────────────────────────────────────────────┐
│  1. Collect Everything                                       │
│     ├── git log (commits, file changes, line stats)          │
│     ├── CLI logs (Codex/Gemini consultations)                │
│     ├── Agent Teams activity (tasks, teammates, messages)    │
│     └── Design decisions (.claude/docs/DESIGN.md changes)    │
│                                                              │
│  2. Generate Checkpoint                                      │
│     → .claude/checkpoints/YYYY-MM-DD-HHMMSS.md              │
│                                                              │
│  3. Update Session History                                   │
│     → CLAUDE.md (cross-session persistence)                  │
│                                                              │
│  4. Discover Skill Patterns                                  │
│     → Subagent analyzes checkpoint                           │
│     → Suggests reusable skills                               │
│     → User reviews and approves                              │
└─────────────────────────────────────────────────────────────┘

Usage

# Everything. No flags needed.
/checkpointing

# Optional: only look at recent work
/checkpointing --since "2026-02-08"

What Gets Captured

Git Activity

  • Commits (hash, message, date)
  • File changes (created, modified, deleted + line counts)
  • Branch information

CLI Consultations

  • Codex consultations (prompt, success/failure)
  • Gemini multimodal tasks (prompt, success/failure)

Agent Teams Activity

  • Team composition (Lead + Teammates, roles)
  • Shared task list state (completed, in-progress, pending)
  • File ownership per teammate
  • Communication patterns (who messaged whom, about what)
  • Team effectiveness signals (tasks completed vs stuck, file conflicts)

Teammate Work Logs

  • Each Teammate's work log from .claude/logs/agent-teams/{team-name}/{teammate}.md
  • Contains: Summary, Tasks Completed, Files Modified, Key Decisions, Communication with Teammates, Issues Encountered
  • Written by each Teammate upon completing all assigned tasks
  • Only present when Agent Teams were used (/startproject, /team-implement, /team-review)

Design Decisions

  • Changes to .claude/docs/DESIGN.md since last checkpoint
  • New entries in Key Decisions table

Checkpoint Format

# Checkpoint: 2026-02-08 15:30:00 UTC

## Summary
- **Commits**: 12
- **Files changed**: 15 (10 modified, 4 created, 1 deleted)
- **Codex consultations**: 3
- **Gemini multimodal**: 2
- **Agent Teams sessions**: 1 (3 teammates)
- **Tasks completed**: 8/10

## Git History

### Commits
- `abc1234` feat: redesign startproject for Opus 4.6
- `def5678` feat: add team-implement skill
...

### File Changes
**Created:**
- `.claude/skills/team-implement/SKILL.md` (+180)
...

**Modified:**
- `CLAUDE.md` (+40, -25)
...

## CLI Consultations

### Codex (3 consultations)
- ✓ Design: Architecture for Agent Teams integration
- ✓ Debug: Task dependency resolution
- ✗ Review: (timeout)

### Gemini (2 multimodal tasks)
- ✓ Extract: API spec from design document PDF
- ✓ Analyze: Architecture diagram from whiteboard photo

## Agent Teams Activity

### Team: project-planning
**Composition:**
- Lead: Claude (orchestration)
- Researcher: Opus-powered (external research)
- Architect: Codex-powered (design decisions)

**Task List:**
- [x] Research library options (Researcher)
- [x] Design module architecture (Architect)
- [x] Validate API constraints (Researcher)
- [x] Finalize implementation plan (Architect)

**Communication Patterns:**
- Researcher → Architect: 3 messages (library constraints)
- Architect → Researcher: 2 messages (additional research requests)

**Effectiveness:**
- All tasks completed
- No file conflicts
- 2 design iterations triggered by research findings

## Teammate Work Logs

### Team: project-planning

#### researcher
*Source: `.claude/logs/agent-teams/project-planning/researcher.md`*

# Work Log: Researcher
## Summary
Researched httpx library constraints and API patterns for the new API client module.
## Tasks Completed
- [x] Research libraries: httpx supports HTTP/2 via h2 dependency
- [x] Find documentation: httpx connection pool defaults to 100
## Communication with Teammates
- → Architect: httpx connection pool limit of 100, HTTP/2 requires h2
- ← Architect: Requested HTTP/2 multiplexing research

#### architect
*Source: `.claude/logs/agent-teams/project-planning/architect.md`*

# Work Log: Architect
## Summary
Designed API client module architecture with HTTP/2 support.
## Design Decisions
- Use httpx[http2] for multiplexed connections: reduces latency for parallel requests
## Codex Consultations
- Connection pool sizing strategy: Codex recommended dynamic pool based on load
## Communication with Teammates
- → Researcher: Request HTTP/2 multiplexing research
- ← Researcher: httpx supports HTTP/2 via h2

## Design Decisions (New)
- Agent Teams for Research ↔ Design (bidirectional)
- Gemini specialized for multimodal processing only

## Skill Pattern Suggestions

### Pattern 1: Research-Design Iteration (Confidence: 0.85)
**Evidence:** Researcher and Architect exchanged findings 5 times, each
exchange refined the design. This back-and-forth is a repeatable pattern.

**Suggested skill:** Already captured as /startproject Phase 2.

### Pattern 2: Parallel File-Isolated Implementation (Confidence: 0.75)
**Evidence:** 3 implementers worked on separate modules with zero conflicts.
Module boundaries were defined by directory ownership.

**Suggested skill:** Already captured as /team-implement.

---
*Generated by checkpointing skill*

Session History Update

Each checkpoint also appends a concise summary to CLAUDE.md:

## Session History

### 2026-02-08
- 12 commits, 15 files changed
- Codex: 3 consultations (design, debug, review)
- Gemini: 2 multimodal tasks (PDF extraction, diagram analysis)
- Agent Teams: 1 session (3 teammates, 8/10 tasks completed)
- New skills: /team-implement, /team-review
- Key decisions: Agent Teams for parallel work, Gemini role narrowed

This persists across sessions — new sessions load CLAUDE.md and see what happened before.

Skill Pattern Discovery

The checkpoint is automatically analyzed to find reusable patterns:

What it looks for:

  • Sequences of commits forming logical workflows
  • File change patterns (e.g., test + implementation together)
  • CLI consultation sequences (research → design → implement)
  • Agent Teams coordination patterns (team composition, task sizing)
  • Multi-step operations that could be templated

Output: Skill suggestions with confidence scores. High-confidence patterns (>= 0.8) that don't match existing skills are presented to the user for approval.

Execution Flow

/checkpointing
    │
    ├─ 1. Run checkpoint.py (collects git + CLI + teams data)
    │     → Generates .claude/checkpoints/YYYY-MM-DD-HHMMSS.md
    │
    ├─ 2. Update CLAUDE.md with session summary
    │
    └─ 3. Spawn subagent for skill pattern analysis
          → Reads checkpoint file
          → Identifies reusable patterns
          → Reports suggestions to user
          → User approves → new skills created in .claude/skills/

When to Run

TimingWhy
Before session endsRecord all activity, hand off to next session
After /team-implement completesCapture team activity patterns
After /team-review completesCapture review patterns
After major design decisionsPersist the decision context
When you notice recurring patternsOpportunity to discover new skills

Notes

  • Checkpoints accumulate in .claude/checkpoints/ (already in .gitignore)
  • Log files themselves are not modified (read-only)
  • Skill suggestions must always be reviewed by the user before adoption
  • Agent Teams data is collected from ~/.claude/teams/ and ~/.claude/tasks/

平台分布

Codex

34.11%
按下载量换算33

Claude

32.73%
按下载量换算32

Cursor

16.9%
按下载量换算16

Gemini CLI

9.33%
按下载量换算9

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/del-taiseiozaki/claude-code-orchestra --skill checkpointing 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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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