Token导航 LogoToken导航TokenDH.com
研究检索敏感数据github未标认证来源可访问clear审计异常

ln-110-project-docs-coordinatorln 110 项目文档协调员

Agent Skill

用于辅助文档、README、Markdown、说明文和内容稿件的整理与改写。它适合让 Agent 提炼结构、补齐章节、统一术语、检查链接或把零散材料整理成可读文档。使用时应保留项目已有事实、命令和路径,不要把未确认的信息写成确定结论;涉及对外文案时,还需要控制语气,避免过度营销或夸大能力。

总安装

6,374

周安装

271

GitHub Stars

437

下载量

2,233
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

3

许可证

MIT

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:ln-110-project-docs-coordinator(ln 110 项目文档协调员)
来源仓库:https://github.com/levnikolaevich/claude-code-skills
仓库路径:skills/ln-110-project-docs-coordinator
安装命令:
npx skills add https://github.com/levnikolaevich/claude-code-skills --skill ln-110-project-docs-coordinator
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/levnikolaevich/claude-code-skills --skill ln-110-project-docs-coordinator

简介

用于辅助文档和 Markdown 内容的整理与改写。

  • 适合提炼结构、补齐章节、统一术语或检查链接有效性。
  • 使用时应保留项目已有事实和路径, 不要把未确认信息写成确定结论;ln-110-project-docs-coordinator 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 涉及对外文案时需避免过度营销。

SKILL.md

Paths: File paths (shared/, references/, ../ln-*) are relative to skills repo root. If not found at CWD, locate this SKILL.md directory and go up one level for repo root. If shared/ is missing, fetch files via WebFetch from https://raw.githubusercontent.com/levnikolaevich/claude-code-skills/master/skills/{path}.

Project Documentation Coordinator

Type: L2 Coordinator Category: 1XX Documentation Pipeline

Runtime-backed docs coordinator. The runtime owns context assembly checkpoints, conditional worker fan-out, and docs-generation summary aggregation.

Purpose & Scope

  • Single context gathering — analyzes project once, builds Context Store
  • Project type detection — determines hasBackend, hasDatabase, hasFrontend, hasDocker
  • Delegates to 5 workers — passes Context Store to each worker
  • Aggregates results — collects status from all workers, returns summary
  • Solves the "context loss" problem by gathering data once and passing explicitly
  • Builds the routing table used by ln-100 docs-quality repair loop

Runtime Contract

MANDATORY READ: Load shared/references/coordinator_runtime_contract.md, shared/references/docs_runtime_contract.md, shared/references/docs_generation_summary_contract.md

Runtime family: docs-runtime

Identifier:

  • project-docs

Phases:

  1. PHASE_0_CONFIG
  2. PHASE_1_CONTEXT_ASSEMBLY
  3. PHASE_2_DETECTION
  4. PHASE_3_DELEGATE
  5. PHASE_4_AGGREGATE
  6. PHASE_5_SELF_CHECK

Worker summary contract:

  • ln-111..115 may receive summaryArtifactPath
  • each worker writes or returns docs-generation summary envelope
  • ln-110 consumes worker summaries, not free-text worker prose

Invocation (who/when)

  • ln-100-documents-pipeline: Invoked as first L2 coordinator in documentation pipeline
  • Never called directly by users

Inputs

From ln-100 (optional source cleanup phase):

{
  "SOURCE_DOC_NOTES": {
    "architecture_notes": { "sections": [...], "diagrams": [...] },
    "requirements_notes": { "functional": [...] },
    "principles_notes": { "principles": [...], "anti_patterns": [...] },
    "tech_stack_notes": { "frontend": "...", "backend": "...", "versions": {} },
    "api_notes": { "endpoints": [...], "authentication": "..." },
    "database_notes": { "tables": [...], "relationships": [...] },
    "runbook_notes": { "prerequisites": [...], "install_steps": [...], "env_vars": [...] },
    "infrastructure_notes": { "servers": [...], "domains": [...], "ports": {} }
  }
}

SOURCE_DOC_NOTES enriches the standard context store before worker dispatch. Workers consume normalized context fields only; there is no legacy-specific override branch.

MANDATORY READ: Load shared/references/docs_quality_contract.md.

Architecture

ln-110-project-docs-coordinator (this skill)
├── Phase 1: Context Gathering (ONE TIME)
├── Phase 2: Delegate to Workers
│   ├── ln-111-root-docs-creator → 4 root docs (ALWAYS)
│   ├── ln-112-project-core-creator → 3 core docs (ALWAYS)
│   ├── ln-113-backend-docs-creator → 2 docs (if hasBackend/hasDatabase)
│   ├── ln-114-frontend-docs-creator → 1 doc (if hasFrontend)
│   └── ln-115-devops-docs-creator → 2 docs (1 always + 1 if hasDocker)
└── Phase 3: Aggregate Results

Workflow

Phase 1: Context Gathering (ONE TIME)

1.1 Auto-Discovery (scan project files):

SourceData ExtractedContext Store Keys
package.jsonname, description, dependencies, scripts, engines, author, contributorsPROJECT_NAME, PROJECT_DESCRIPTION, DEPENDENCIES, DEV_COMMANDS, DEVOPS_CONTACTS
docker-compose.ymlservices, ports, deploy.replicas, runtime:nvidiaDOCKER_SERVICES, DEPLOYMENT_SCALE, HAS_GPU
Dockerfileruntime versionRUNTIME_VERSION
src/ structurefolders, patternsSRC_STRUCTURE, ARCHITECTURE_PATTERN
migrations/table definitionsSCHEMA_OVERVIEW
.env.exampleenvironment variablesENV_VARIABLES
tsconfig.json,.eslintrcconventionsCODE_CONVENTIONS
README.mdproject description, scaling mentionsPROJECT_DESCRIPTION (fallback), DEPLOYMENT_SCALE (fallback)
CODEOWNERSmaintainersDEVOPS_CONTACTS
git logfrequent committersDEVOPS_CONTACTS (fallback)
~/.ssh/config, deploy targetsSSH aliases, hostnames, IPsSERVER_INVENTORY
docker-compose VIRTUAL_HOST varsdomain routingDOMAIN_DNS
.env.example registry URLs,.npmrcartifact reposARTIFACT_REPOSITORY
docker-compose deploy.resourcesresource limitsHOST_REQUIREMENTS

1.2 Detect Project Type:

FlagDetection Rule
hasBackendexpress/fastify/nestjs/fastapi/django in dependencies
hasDatabasepg/mongoose/prisma/sequelize in dependencies OR postgres/mongo in docker-compose
hasFrontendreact/vue/angular/svelte in dependencies
hasDockerDockerfile exists OR docker-compose.yml exists

1.3 User Materials Request:

  • Ask: "Do you have existing materials (requirements, designs, docs)?"
  • If provided: Extract answers for Context Store

1.4 MCP Research (for detected technologies):

  • Use Context7/Ref for best practices
  • Store in Context Store for workers

1.5 Build Context Store:

{
  "PROJECT_NAME": "my-project",
  "PROJECT_DESCRIPTION": "...",
  "TECH_STACK": { "frontend": "React 18", "backend": "Express 4.18", "database": "PostgreSQL 15" },
  "DEPENDENCIES": [...],
  "SRC_STRUCTURE": { "controllers": [...], "services": [...] },
  "ENV_VARIABLES": ["DATABASE_URL", "JWT_SECRET"],
  "DEV_COMMANDS": { "dev": "npm run dev", "test": "npm test" },
  "DOCKER_SERVICES": ["app", "db"],
  "DEPLOYMENT_SCALE": "single",
  "DEVOPS_CONTACTS": [],
  "HAS_GPU": false,
  "SERVER_INVENTORY": [],
  "DOMAIN_DNS": [],
  "ARTIFACT_REPOSITORY": {},
  "HOST_REQUIREMENTS": {},
  "flags": { "hasBackend": true, "hasDatabase": true, "hasFrontend": true, "hasDocker": true }
}

DEPLOYMENT_SCALE detection rules:

  • "single" (default): No deploy.replicas, no scaling keywords in README
  • "multi": deploy.replicas > 1 OR load balancer mentioned
  • "auto-scaling": auto-scaling keywords in README/docker-compose
  • "gpu-based": runtime: nvidia in docker-compose

DEVOPS_CONTACTS fallback chain:

  1. CODEOWNERS file → extract maintainers
  2. package.json author/contributors → extract names/emails
  3. git log → top 3 frequent committers
  4. If all empty → [TBD: Provide DevOps team contacts]

1.6 Merge Normalized Source Notes (if provided by ln-100):

  • Check if SOURCE_DOC_NOTES was passed from ln-100 cleanup phase
  • If present, merge supporting facts into the standard Context Store: contextStore.SOURCE_DOC_NOTES = input.SOURCE_DOC_NOTES
  • Enrichment intent:

- architecture notes strengthen architecture evidence - requirement notes strengthen requirements evidence - tech-stack notes clarify versions and rationale - principles, API, database, runbook, and infrastructure notes provide supplemental factual input

  • Workers always generate from normalized context + current project sources
  • If no SOURCE_DOC_NOTES are present: rely on direct auto-discovery + current canonical docs

Phase 2: Delegate to Workers

MANDATORY: All applicable workers MUST be invoked. Workers run in parallel via Agent tool for context isolation.

2.1 Always invoke (parallel):

  • ln-111-root-docs-creator with Context Store
  • ln-112-project-core-creator with full Context Store
  • ln-115-devops-docs-creator with Context Store (infrastructure.md always; runbook.md internally conditional on hasDocker)

2.2 Conditionally invoke:

  • ln-113-backend-docs-creator if hasBackend OR hasDatabase
  • ln-114-frontend-docs-creator if hasFrontend

Invocation (parallel via Agent tool):

Agent(description: "{doc_type} docs via {worker}",
     prompt: "Invoke Skill(skill: \"{worker}\") with context below.\n\nCONTEXT: {contextStore}",
     subagent_type: "general-purpose")

Delegation Rules:

  • Pass Context Store and flags to workers via Agent+Skill pattern
  • Wait for all Agent completions
  • Collect normalized result (created_files, skipped_files, quality_inputs, validation_status)

Phase 3: Aggregate Results

  1. Collect status from all workers
  2. Sum totals: created files, skipped files
  3. Report any validation warnings
  4. Return aggregated summary to ln-100
  5. Include Context Store for subsequent workers (ln-120 needs TECH_STACK)
  6. Merge quality_inputs.owners from all workers into one repair-routing table

Output:

{
  "workers_invoked": 5,
  "total_created": 11,
  "total_skipped": 0,
  "validation_status": "passed",
  "created_files": [
    "AGENTS.md",
    "CLAUDE.md",
    "docs/README.md",
    "docs/documentation_standards.md",
    "docs/principles.md",
    "docs/project/requirements.md",
    "docs/project/architecture.md",
    "docs/project/tech_stack.md",
    "docs/project/api_spec.md",
    "docs/project/database_schema.md",
    "docs/project/design_guidelines.md",
    "docs/project/infrastructure.md",
    "docs/project/runbook.md"
  ],
  "quality_inputs": {
    "doc_paths": ["AGENTS.md", "CLAUDE.md", "docs/README.md", "docs/project/architecture.md"],
    "owners": {
      "AGENTS.md": "ln-111-root-docs-creator",
      "CLAUDE.md": "ln-111-root-docs-creator",
      "docs/project/architecture.md": "ln-112-project-core-creator"
    }
  },
  "context_store": {
    "PROJECT_NAME": "...",
    "TECH_STACK": { "frontend": "React 18", "backend": "Express 4.18", "database": "PostgreSQL 15" },
    "DEPENDENCIES": [...],
    "flags": { "hasBackend": true, "hasDatabase": true, "hasFrontend": true, "hasDocker": true }
  }
}

Critical Notes

  • Context gathered ONCE — never duplicated in workers
  • Context Store passed explicitly — no implicit state
  • Workers self-validate — coordinator only aggregates
  • Idempotent — workers skip existing files
  • Parallel where possible — ln-111 and ln-112 can run in parallel
  • Repair routing table required — every created doc path must map to one owning creator

Worker Invocation (MANDATORY)

PhaseWorkerContextCondition
2ln-111-root-docs-creatorAgent (parallel) — root docsALWAYS
2ln-112-project-core-creatorAgent (parallel) — core project docsALWAYS
2ln-115-devops-docs-creatorAgent (parallel) — infrastructure + runbookALWAYS
2ln-113-backend-docs-creatorAgent (parallel) — API spec + DB schemahasBackend OR hasDatabase
2ln-114-frontend-docs-creatorAgent (parallel) — design guidelineshasFrontend

All workers: Invoke via Agent tool with Skill — workers get Context Store.

TodoWrite format (mandatory)

- Build Context Store (pending)
- Invoke ln-111-root-docs-creator (pending)
- Invoke ln-112-project-core-creator (pending)
- Invoke ln-115-devops-docs-creator (pending)
- Invoke ln-113-backend-docs-creator [conditional] (pending)
- Invoke ln-114-frontend-docs-creator [conditional] (pending)
- Aggregate results (pending)

Anti-Patterns:

  • ❌ Creating documentation files directly instead of invoking workers
  • ❌ Marking worker steps done without Agent+Skill invocation
  • ❌ Skipping conditional workers without checking flags

Documentation Standards (passed to workers)

  • NO_CODE Rule: Documents describe contracts, not implementations
  • Stack Adaptation: Links must match TECH_STACK (Context Store)
  • Format Priority: Tables/ASCII > Lists > Text

Definition of Done

  • Context Store built with all discovered data
  • Project type flags determined
  • All applicable workers invoked
  • Results aggregated
  • Actuality verified: all document facts match current code (paths, functions, APIs, configs exist and are accurate)
  • Summary returned to ln-100

Phase 4: Meta-Analysis

MANDATORY READ: Load shared/references/meta_analysis_protocol.md

Skill type: planning-coordinator. Run after all phases complete. Output to chat using the planning-coordinator format.

Reference Files

  • Guides: references/guides/automatic_analysis_guide.md, critical_questions.md, troubleshooting.md

Version: 2.1.0 Last Updated: 2025-01-12

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

04

需要参考平台分布和安装热度时

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

补充不同宿主或平台的使用分布数据

能力 5

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

Claude Code

29.01%
按下载量换算648

Gemini CLI

23.59%
按下载量换算527

OpenCode

19.75%
按下载量换算441

Antigravity

13.19%
按下载量换算295

Codex

8.69%
按下载量换算194

Cursor

3.57%
按下载量换算80

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

可疑

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。

来源信息

继续浏览同类 Skills