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Agent Skill · 开发

compact(compact 搜索)

compact 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

compact 是开发类 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,第三方扫描有未通过项,按安装量在开发类的 21,746 个 Skill 里排第 11,947。

总安装 1,505周安装 64GitHub Stars 1,905下载 527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:compact(compact 搜索)
来源仓库:https://github.com/catlog22/claude-code-workflow
仓库路径:skills/compact
安装命令:
npx skills add https://github.com/catlog22/claude-code-workflow --skill compact
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/catlog22/claude-code-workflow --skill compact

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

compact 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。压缩当前会话工作记忆为结构化文本,优化会话恢复体验并提取关键信息保存至持久化存储。

遵循最小化重新探索原则,保留文件路径、决策记录和操作状态以便无缝继续工作进程。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。compact 属于开发类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/compact

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/catlog22/claude-code-workflow --skill compact;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

compact 怎么安装?

在终端执行 npx skills add https://github.com/catlog22/claude-code-workflow --skill compact。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

compact 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。

compact 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。

compact 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。

compact 用的人多吗?

公开数据是累计安装 1,505 次,近一周安装 64 次,下载 527 次,GitHub 1,905 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。

compact 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。
  • 来源仓库有 1,905 星,维护活跃度相对可查。

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。
  • 需要处理开发类任务、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。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
compact

compact 搜索 · 本页

1,5051,905调用外部服务未明确未通过

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

Memory Compact Command (/memory:compact)

1. Overview

The memory:compact command compresses current session working memory into structured text optimized for session recovery, extracts critical information, and saves it to persistent storage via MCP core_memory tool.

Core Philosophy:

  • Session Recovery First: Capture everything needed to resume work seamlessly
  • Minimize Re-exploration: Include file paths, decisions, and state to avoid redundant analysis
  • Preserve Train of Thought: Keep notes and hypotheses for complex debugging
  • Actionable State: Record last action result and known issues

2. Parameters

  • --description: Custom session description (optional)

- Example: "completed core-memory module" - Example: "debugging JWT refresh - suspected memory leak"

  • --tags: Comma-separated tags for categorization (optional)
  • --force: Skip confirmation, save directly

3. Structured Output Format

## Session ID
[WFS-ID if workflow session active, otherwise (none)]

## Project Root
[Absolute path to project root, e.g., D:\Claude_dms3]

## Objective
[High-level goal - the "North Star" of this session]

## Execution Plan
[CRITICAL: Embed the LATEST plan in its COMPLETE and DETAILED form]

### Source: [workflow | todo | user-stated | inferred]

<details>
<summary>Full Execution Plan (Click to expand)</summary>

[PRESERVE COMPLETE PLAN VERBATIM - DO NOT SUMMARIZE]
- ALL phases, tasks, subtasks
- ALL file paths (absolute)
- ALL dependencies and prerequisites
- ALL acceptance criteria
- ALL status markers ([x] done, [ ] pending)
- ALL notes and context

Example:
## Phase 1: Setup
- [x] Initialize project structure
  - Created D:\Claude_dms3\src\core\index.ts
  - Added dependencies: lodash, zod
- [ ] Configure TypeScript
  - Update tsconfig.json for strict mode

## Phase 2: Implementation
- [ ] Implement core API
  - Target: D:\Claude_dms3\src\api\handler.ts
  - Dependencies: Phase 1 complete
  - Acceptance: All tests pass

</details>

## Working Files (Modified)
[Absolute paths to actively modified files]
- D:\Claude_dms3\src\file1.ts (role: main implementation)
- D:\Claude_dms3\tests\file1.test.ts (role: unit tests)

## Reference Files (Read-Only)
[Absolute paths to context files - NOT modified but essential for understanding]
- D:\Claude_dms3\.claude\CLAUDE.md (role: project instructions)
- D:\Claude_dms3\src\types\index.ts (role: type definitions)
- D:\Claude_dms3\package.json (role: dependencies)

## Last Action
[Last significant action and its result/status]

## Decisions
- [Decision]: [Reasoning]
- [Decision]: [Reasoning]

## Constraints
- [User-specified limitation or preference]

## Dependencies
- [Added/changed packages or environment requirements]

## Known Issues
- [Deferred bug or edge case]

## Changes Made
- [Completed modification]

## Pending
- [Next step] or (none)

## Notes
[Unstructured thoughts, hypotheses, debugging trails]

4. Field Definitions

FieldPurposeRecovery Value
Session IDWorkflow session identifier (WFS-*)Links memory to specific stateful task execution
Project RootAbsolute path to project directoryEnables correct path resolution in new sessions
ObjectiveUltimate goal of the sessionPrevents losing track of broader feature
Execution PlanComplete plan from any source (verbatim)Preserves full planning context, avoids re-planning
Working FilesActively modified files (absolute paths)Immediately identifies where work was happening
Reference FilesRead-only context files (absolute paths)Eliminates re-exploration for critical context
Last ActionFinal tool output/statusImmediate state awareness (success/failure)
DecisionsArchitectural choices + reasoningPrevents re-litigating settled decisions
ConstraintsUser-imposed limitationsMaintains personalized coding style
DependenciesPackage/environment changesPrevents missing dependency errors
Known IssuesDeferred bugs/edge casesEnsures issues aren't forgotten
Changes MadeCompleted modificationsClear record of what was done
PendingNext stepsImmediate action items
NotesHypotheses, debugging trailsPreserves "train of thought"

5. Execution Flow

Step 1: Analyze Current Session

Extract the following from conversation history:

const sessionAnalysis = {
  sessionId: "",       // WFS-* if workflow session active, null otherwise
  projectRoot: "",     // Absolute path: D:\Claude_dms3
  objective: "",       // High-level goal (1-2 sentences)
  executionPlan: {
    source: "workflow" | "todo" | "user-stated" | "inferred",
    content: ""        // Full plan content - ALWAYS preserve COMPLETE and DETAILED form
  },
  workingFiles: [],    // {absolutePath, role} - modified files
  referenceFiles: [],  // {absolutePath, role} - read-only context files
  lastAction: "",      // Last significant action + result
  decisions: [],       // {decision, reasoning}
  constraints: [],     // User-specified limitations
  dependencies: [],    // Added/changed packages
  knownIssues: [],     // Deferred bugs
  changesMade: [],     // Completed modifications
  pending: [],         // Next steps
  notes: ""            // Unstructured thoughts
}

Step 2: Generate Structured Text

// Helper: Generate execution plan section
const generateExecutionPlan = (plan) => {
  const sourceLabels = {
    'workflow': 'workflow (IMPL_PLAN.md)',
    'todo': 'todo (TodoWrite)',
    'user-stated': 'user-stated',
    'inferred': 'inferred'
  };

  // CRITICAL: Preserve complete plan content verbatim - DO NOT summarize
  return `### Source: ${sourceLabels[plan.source] || plan.source}

<details>
<summary>Full Execution Plan (Click to expand)</summary>

${plan.content}

</details>`;
};

const structuredText = `## Session ID
${sessionAnalysis.sessionId || '(none)'}

## Project Root
${sessionAnalysis.projectRoot}

## Objective
${sessionAnalysis.objective}

## Execution Plan
${generateExecutionPlan(sessionAnalysis.executionPlan)}

## Working Files (Modified)
${sessionAnalysis.workingFiles.map(f => `- ${f.absolutePath} (role: ${f.role})`).join('\n') || '(none)'}

## Reference Files (Read-Only)
${sessionAnalysis.referenceFiles.map(f => `- ${f.absolutePath} (role: ${f.role})`).join('\n') || '(none)'}

## Last Action
${sessionAnalysis.lastAction}

## Decisions
${sessionAnalysis.decisions.map(d => `- ${d.decision}: ${d.reasoning}`).join('\n') || '(none)'}

## Constraints
${sessionAnalysis.constraints.map(c => `- ${c}`).join('\n') || '(none)'}

## Dependencies
${sessionAnalysis.dependencies.map(d => `- ${d}`).join('\n') || '(none)'}

## Known Issues
${sessionAnalysis.knownIssues.map(i => `- ${i}`).join('\n') || '(none)'}

## Changes Made
${sessionAnalysis.changesMade.map(c => `- ${c}`).join('\n') || '(none)'}

## Pending
${sessionAnalysis.pending.length > 0
  ? sessionAnalysis.pending.map(p => `- ${p}`).join('\n')
  : '(none)'}

## Notes
${sessionAnalysis.notes || '(none)'}`

Step 3: Import to Core Memory via MCP

Use the MCP core_memory tool to save the structured text:

mcp__ccw-tools__core_memory({
  operation: "import",
  text: structuredText
})

Or via CLI (pipe structured text to import):

# Write structured text to temp file, then import
echo "$structuredText" | ccw core-memory import

# Or from a file
ccw core-memory import --file /path/to/session-memory.md

Response Format:

{
  "operation": "import",
  "id": "CMEM-YYYYMMDD-HHMMSS",
  "message": "Created memory: CMEM-YYYYMMDD-HHMMSS"
}

Step 4: Report Recovery ID

After successful import, clearly display the Recovery ID to the user:

╔════════════════════════════════════════════════════════════════════════════╗
║  ✓ Session Memory Saved                                                    ║
║                                                                            ║
║  Recovery ID: CMEM-YYYYMMDD-HHMMSS                                         ║
║                                                                            ║
║  To restore: "Please import memory <ID>"                                   ║
║  (MCP: core_memory export | CLI: ccw core-memory export --id <ID>)         ║
╚════════════════════════════════════════════════════════════════════════════╝

6. Quality Checklist

Before generating:

  • Session ID captured if workflow session active (WFS-*)
  • Project Root is absolute path (e.g., D:\Claude_dms3)
  • Objective clearly states the "North Star" goal
  • Execution Plan: COMPLETE plan preserved VERBATIM (no summarization)
  • Plan Source: Clearly identified (workflow | todo | user-stated | inferred)
  • Plan Details: ALL phases, tasks, file paths, dependencies, status markers included
  • All file paths are ABSOLUTE (not relative)
  • Working Files: 3-8 modified files with roles
  • Reference Files: Key context files (CLAUDE.md, types, configs)
  • Last Action captures final state (success/failure)
  • Decisions include reasoning, not just choices
  • Known Issues separates deferred from forgotten bugs
  • Notes preserve debugging hypotheses if any

7. Path Resolution Rules

Project Root Detection

  1. Check current working directory from environment
  2. Look for project markers: .git/, package.json, .claude/
  3. Use the topmost directory containing these markers

Absolute Path Conversion

// Convert relative to absolute
const toAbsolutePath = (relativePath, projectRoot) => {
  if (path.isAbsolute(relativePath)) return relativePath;
  return path.join(projectRoot, relativePath);
};

// Example: "src/api/auth.ts" → "D:\Claude_dms3\src\api\auth.ts"

Reference File Categories

CategoryExamplesPriority
Project Config.claude/CLAUDE.md, package.json, tsconfig.jsonHigh
Type Definitionssrc/types/*.ts, *.d.tsHigh
Related ModulesParent/sibling modules with shared interfacesMedium
Test FilesCorresponding test files for modified codeMedium
DocumentationREADME.md, ARCHITECTURE.mdLow

8. Plan Detection (Priority Order)

Priority 1: Workflow Session (IMPL_PLAN.md)

// Check for active workflow session
const manifest = await mcp__ccw-tools__session_manager({
  operation: "list",
  location: "active"
});

if (manifest.sessions?.length > 0) {
  const session = manifest.sessions[0];
  const plan = await mcp__ccw-tools__session_manager({
    operation: "read",
    session_id: session.id,
    content_type: "plan"
  });
  sessionAnalysis.sessionId = session.id;
  sessionAnalysis.executionPlan.source = "workflow";
  sessionAnalysis.executionPlan.content = plan.content;
}

Priority 2: TodoWrite (Current Session Todos)

// Extract from conversation - look for TodoWrite tool calls
// Preserve COMPLETE todo list with all details
const todos = extractTodosFromConversation();
if (todos.length > 0) {
  sessionAnalysis.executionPlan.source = "todo";
  // Format todos with full context - preserve status markers
  sessionAnalysis.executionPlan.content = todos.map(t =>
    `- [${t.status === 'completed' ? 'x' : t.status === 'in_progress' ? '>' : ' '}] ${t.content}`
  ).join('\n');
}

Priority 3: User-Stated Plan

// Look for explicit plan statements in user messages:
// - "Here's my plan: 1. ... 2. ... 3. ..."
// - "I want to: first..., then..., finally..."
// - Numbered or bulleted lists describing steps
const userPlan = extractUserStatedPlan();
if (userPlan) {
  sessionAnalysis.executionPlan.source = "user-stated";
  sessionAnalysis.executionPlan.content = userPlan;
}

Priority 4: Inferred Plan

// If no explicit plan, infer from:
// - Task description and breakdown discussion
// - Sequence of actions taken
// - Outstanding work mentioned
const inferredPlan = inferPlanFromDiscussion();
if (inferredPlan) {
  sessionAnalysis.executionPlan.source = "inferred";
  sessionAnalysis.executionPlan.content = inferredPlan;
}

9. Notes

  • Timing: Execute at task completion or before context switch
  • Frequency: Once per independent task or milestone
  • Recovery: New session can immediately continue with full context
  • Knowledge Graph: Entity relationships auto-extracted for visualization
  • Absolute Paths: Critical for cross-session recovery on different machines

平台分布

Codex

38.43%
按下载量换算203

Claude

29.23%
按下载量换算154

Cursor

19.51%
按下载量换算103

Gemini CLI

8.86%
按下载量换算47

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

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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