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NanmiCoder NanmiCoder
from GitHub Testing & Security
  • 📄 SKILL.md
teams subagent 适合

agent-team-orchestrator

Agent Teams 智能编排决策引擎。自动分析任务复杂度，判断使用 Subagent 还是 Agent Teams。 触发场景： (1) 任务涉及多角度并行分析（如代码审查、竞争假说调试） (2) 需要成员之间互相通信、质疑、协作 (3) 跨层开发（前端/后端/测试各自负责） (4) 用户明确要求"创建团队"、"用 agent teams" (5) 任务描述包含"并行"、"同时"、"多人"、"协作"等关键词 (6) 使用 /team 命令 --- # Agent Teams 智能编排决策引擎 ## 核心决策逻辑 ### 第一步：任务特征分析 在收到用户任务后，**自动进行以下 5 维度评估**（无需用户明确要求）： #### 1. 并行性维度 - ✅ **适合 Teams**: 多个子任务可以完全独立并行执行，不需要等待彼此结果 - ❌ **适合 Subagent**: 任务有明确的先后顺序，后续步骤依赖前面结果 #### 2. 通信需求维度 - ✅ **适合 Teams**: 成员需要互相分享发现、质疑对方结论、协商决策 - ❌ **适合 Subagent**: 只需要将结果报告给主 Agent，成员之间无需交流 #### 3. 上下文隔离维度 - ✅ **适合 Teams**: 每个成员需要聚焦不同领域，避免上下文污染 - ❌ **适合 Subagent**: 所有工作共享相同的知识背景和上下文 #### 4. 文件冲突维度 - ✅ **适合 Teams**: 每个成员操作不同的文件集，没有并发编辑冲突 - ❌ **适合 Subagent**: 多人需要修改同一文件（会导致覆盖冲突） #### 5. 成本收益维度 - ✅ **适合 Teams**: 并行探索的价值 > Token 成本（如研究、审查、新功能开发） - ❌ **适合 Subagent**: 简单任务，协调开销大于收益 --- ### 第二步：决策矩阵 根据以上维度得分，应用以下规则： | 场景类型 | 并行性 | 通信需求 | 上下文隔离 | 文件冲突 | 推荐方案 | 置信度 | |---------|-------|---------|----------|---------|---------|-------| | 多角度代码审查 | ✓ | ✓ | ✓ | ✓ | **Agent Teams** | 95% | | 竞争假说调试 | ✓ | ✓ | ✓ | ✓ | **Agent Teams** | 95% | | 跨层协调开发 | ✓ | ✓ | ✓ | ✓ | **Agent Teams** | 90% | | 独立目录搜索 | ✓ | ✗ | ✓ | ✓ | **Subagent** | 85% | | 顺序数据处理 | ✗ | ✗ | ✗ | ✓ | **Subagent** | 90% | | 单文件多人编辑 | ✓ | ✗ | ✗ | ✗ | **Subagent** | 95% | **决策规则：** - 4-5 个 ✓ → 强烈推荐 Agent Teams - 2-3 个 ✓ → 视任务复杂度决定 - 0-1 个 ✓ → 推荐 Subagent --- ## 团队设计指南 ### 团队规模建议 ``` 简单任务（代码审查、小型调试）: 2-3 人 中等复杂度（新功能开发）: 3-5 人 高复杂度（大型重构、架构设计）: 5-7 人 ⚠️ 警告：超过 7 人协调成本急剧上升 ``` ### 角色分配原则 **1. 职责清晰化** - ✅ 好：`security-reviewer` 只关注安全漏洞 - ❌ 坏：`general-reviewer` 什么都审查（会导致重复劳动） **2. 技能互补性** - ✅ 好：`frontend-dev` + `backend-dev` + `test-engineer` - ❌ 坏：3 个都是 `fullstack-dev`（缺乏专业化） **3. 文件所有权明确** - ✅ 好：每个成员负责不同的目录/模块 - ❌ 坏：多人修改同一文件（导致覆盖冲突） ### 任务粒度设计 **理想任务粒度：** - 单个任务耗时：15-30 分钟 - 每人任务数量：5-6 个 - 任务产出：明确的交付物（一个函数、一个测试文件、一份报告） **太小的任务：** ``` ❌ "检查第 42 行是否有 bug" ❌ "读取 config.json 文件" ``` **太大的任务：** ``` ❌ "重构整个认证系统" ❌ "实现完整的订单模块" ``` **合适的任务：** ``` ✅ "审查 auth 模块的安全漏洞，输出 security-report.md" ✅ "实现用户登录 API 端点，包含参数验证

⬇0 ❤47 26 days ago · Uploaded Detail →
moyupeng0422 moyupeng0422
from GitHub Tools & Productivity
  • 📁 assets/
  • 📁 data/
  • 📁 examples/
  • 📄 LICENSE
  • 📄 README.md
  • 📄 SKILL.md
python references automation

法律文件脱敏处理

法律文件脱敏/还原工具 - 将法律文档中的敏感信息进行智能替换和脱敏处理，或将脱敏稿还原为原文 <examples> - 帮我把这份合同脱敏处理 - 我需要脱敏这个法律文件 - 生成脱敏版本的合同文档 - 将这份法律文书中的敏感信息替换掉 - 创建合同的脱敏版本 - 帮我把脱敏稿还原成原文 - 使用比对词还原审核稿 </examples> --- # 法律文件脱敏处理 将法律文档中的敏感信息进行智能替换和脱敏处理，生成可对外分享的脱敏版本。支持将脱敏稿交由外部审核后，使用比对词还原为原文。 ## 核心功能 ### 脱敏功能 - **多种脱敏类型**：名称、日期、价格、文件名、项目名、银行账号、案号等 - **自定义脱敏类型**：创建自定义类型（如"合同名称"、"产品型号"），批量输入精准匹配内容 - **批量模式**：多文件上传自动进入批量模式，统一编号确保跨文件一致性 - **规则设置**：可自主开启/关闭16种内置脱敏类别，灵活控制识别范围 - **智能替换**：根据上下文识别角色（买方/卖方公司） - **实时预览**：黄色高亮显示脱敏内容 - **格式保留**：完整保留原文格式（段落、表格、字体） - **白名单/黑名单管理**：精确控制特定内容的脱敏行为；黑名单支持记录项目类型 - **优先级机制**：黑名单 > 白名单 > 脱敏类别（内置+自定义） - **冲突检测**：添加到列表时自动检测是否已存在于其他列表 - **调试模式**：详细日志输出，便于排查问题 ### 还原功能 - **自动化还原**：根据比对词自动将【X】标记还原为原文 - **批量还原**：支持多文件同时还原，自动匹配文件配对，ZIP打包下载 - **保留审核痕迹**：还原时保留文档中的修订、批注等审核痕迹 - **runs级别替换**：精确替换，不影响其他内容的格式 ## 使用方式 ### HTML离线工具（推荐） #### 脱敏模式 **单文件脱敏：** 1. 打开 `assets/index.html`，选择"脱敏模式" 2. 拖拽或选择单个 docx 文件上传 3. 自动识别并预览脱敏效果 4. 手动编辑脱敏项 5. 导出脱敏文件和比对.md文档 **批量脱敏：** 1. 上传多个 docx 文件，自动进入批量模式 2. 统一识别：相同内容使用相同替换文本 3. 文件切换：通过列表栏切换查看各文件 4. 同步编辑：删除/添加脱敏项会同步到所有文件 5. 导出结果：每个文件生成独立的 `{文件名}_比对.md` #### 还原模式 **单文件还原：** 1. 打开 `assets/index.html`，选择"还原模式" 2. 上传脱敏稿（带审核痕迹的docx） 3. 上传对应的比对.md文件 4. 点击"执行还原"，自动下载还原后的文件 **批量还原（4步流程）：** 1. **上传文件**：上传多个脱敏稿 + 多个比对.md文件 2. **确认配对**：系统自动匹配文件名，支持手动调整 3. **执行还原**：批量处理，显示进度条 4. **下载结果**：ZIP打包下载 ### Python脚本 ```bash # 安装依赖 pip install python-docx # 执行脱敏 python scripts/redact.py input.docx data/rules.json -o output.docx # 执行还原（保留修订、批注） python scripts/restore.py redacted.docx mapping.md -o restored.docx ``` ## 详细文档 - **工作流程**: [references/workflow.md](references/workflow.md) - **规则模式库**: [references/patterns.md](references/patterns.md) - **数据格式**: [references/data-formats.md](references/data-formats.md) - **脚本使用**: [scripts/README.md](scripts/README.md) - **HTML使用**: [assets/README.md](assets/README.md) ## 版本历史 - **v1.5.0（2026-03-29）右键菜单集成 + Python/HTML识别统一**： - **Windows 右键菜单**：右键 .docx 文件可直接"用脱敏工具打开"、"一键脱敏"或"一键还原"，通过注册表集成，无需管理员权限 - **macOS 右键菜单**：通过 Automator Quick Action 实现，Fi

⬇0 ❤48 1 month ago · Uploaded Detail →
Sterll Sterll
from GitHub Tools & Productivity
  • 📄 SKILL.md
automation autonomous isolated

create-agents

Create Claude Code agents (autonomous workers with isolated context and restricted tools). Use when the user wants to create an agent, autonomous worker, isolated task runner, or custom subagent. NOT for skills - agents have tool restrictions and run in isolation.

⬇0 ❤48 1 month ago · Uploaded Detail →
youngfreeFJS youngfreeFJS
from GitHub Testing & Security
  • 📁 references/
  • 📄 EXAMPLE_REPORT.md
  • 📄 README.md
  • 📄 SKILL.md
skill.md when automation

skill-test-skill

Tests and scores any Agent Skill against the official anthropics/skills specification. Use this skill when you need to check if a skill repository or SKILL.md file is compliant with the Agent Skills standard, audit skill quality, get a compliance score, or receive specific improvement suggestions. Trigger when users say things like "check my skill", "test this skill", "does my skill follow the spec", "score my skill", "review my SKILL.md", "is my skill correct", "检查我的skill", "测试这个skill", "这个skill符合规范吗", "给我的skill打分", or when they provide a path to a skill directory or SKILL.md file and want it reviewed.

⬇0 ❤47 27 days ago · Uploaded Detail →
modu-ai modu-ai
from GitHub Data & AI
  • 📁 references/
  • 📄 SKILL.md
moai catalog harness

moai

MoAI — 100개 자기진화 도메인 하네스 AI 전문가. '/moai init'으로 개인화된 하네스를 설치하고, '/moai catalog'로 카탈로그를 조회하고, '/moai status'로 상태를 확인한다. '유튜브 영상 기획', '시장 조사', '계약서 검토', '사업계획서', '여행 계획', '뉴스레터 작성', '세무 상담', '채용 파이프라인', 'ESG 보고서', '데이터 분석' 등 100가지 도메인의 전문가 하네스를 제공한다. 자연어로 도메인 요청 시 자동 감지하여 해당 하네스 레퍼런스를 로딩한다. MoAI, 모아이, harness, 하네스, 전문가 모드, expert mode.

⬇0 ❤46 24 days ago · Uploaded Detail →
modu-ai modu-ai
from GitHub Data & AI
  • 📁 references/
  • 📄 SKILL.md
moai catalog harness

moai

MoAI — 100개 자기진화 도메인 하네스 AI 전문가. '/moai init'으로 개인화된 하네스를 설치하고, '/moai catalog'로 카탈로그를 조회하고, '/moai status'로 상태를 확인한다. '유튜브 영상 기획', '시장 조사', '계약서 검토', '사업계획서', '여행 계획', '뉴스레터 작성', '세무 상담', '채용 파이프라인', 'ESG 보고서', '데이터 분석' 등 100가지 도메인의 전문가 하네스를 제공한다. 자연어로 도메인 요청 시 자동 감지하여 해당 하네스 레퍼런스를 로딩한다. MoAI, 모아이, harness, 하네스, 전문가 모드, expert mode.

⬇0 ❤46 24 days ago · Uploaded Detail →

Skill File Structure Sample (Reference)

skill-sample/
├─ SKILL.md              ⭐ Required: skill entry doc (purpose / usage / examples / deps)
├─ manifest.sample.json  ⭐ Recommended: machine-readable metadata (index / validation / autofill)
├─ LICENSE.sample        ⭐ Recommended: license & scope (open source / restriction / commercial)
├─ scripts/
│  └─ example-run.py     ✅ Runnable example script for quick verification
├─ assets/
│  ├─ example-formatting-guide.md  🧩 Output conventions: layout / structure / style
│  └─ example-template.tex         🧩 Templates: quickly generate standardized output
└─ references/           🧩 Knowledge base: methods / guides / best practices
   ├─ example-ref-structure.md     🧩 Structure reference
   ├─ example-ref-analysis.md      🧩 Analysis reference
   └─ example-ref-visuals.md       🧩 Visual reference

More Agent Skills specs Anthropic docs: https://agentskills.io/home

SKILL.md Requirements

├─ ⭐ Required: YAML Frontmatter (must be at top)
│  ├─ ⭐ name                 : unique skill name, follow naming convention
│  └─ ⭐ description          : include trigger keywords for matching
│
├─ ✅ Optional: Frontmatter extension fields
│  ├─ ✅ license              : license identifier
│  ├─ ✅ compatibility        : runtime constraints when needed
│  ├─ ✅ metadata             : key-value fields (author/version/source_url...)
│  └─ 🧩 allowed-tools        : tool whitelist (experimental)
│
└─ ✅ Recommended: Markdown body (progressive disclosure)
   ├─ ✅ Overview / Purpose
   ├─ ✅ When to use
   ├─ ✅ Step-by-step
   ├─ ✅ Inputs / Outputs
   ├─ ✅ Examples
   ├─ 🧩 Files & References
   ├─ 🧩 Edge cases
   ├─ 🧩 Troubleshooting
   └─ 🧩 Safety notes

Why SkillWink?

Skill files are scattered across GitHub and communities, difficult to search, and hard to evaluate. SkillWink organizes open-source skills into a searchable, filterable library you can directly download and use.

We provide keyword search, version updates, multi-metric ranking (downloads / likes / comments / updates), and open SKILL.md standards. You can also discuss usage and improvements on skill detail pages.

Keyword Search Version Updates Multi-Metric Ranking Open Standard Discussion

Quick Start:

Import/download skills (.zip/.skill), then place locally:

~/.claude/skills/ (Claude Code)

~/.codex/skills/ (Codex CLI)

One SKILL.md can be reused across tools.

FAQ

Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.

1. What are Agent Skills?

A skill is a reusable capability package, usually including SKILL.md (purpose/IO/how-to) and optional scripts/templates/examples.

Think of it as a plugin playbook + resource bundle for AI assistants/toolchains.

2. How do Skills work?

Skills use progressive disclosure: load brief metadata first, load full docs only when needed, then execute by guidance.

This keeps agents lightweight while preserving enough context for complex tasks.

3. How can I quickly find the right skill?

Use these three together:

  • Semantic search: describe your goal in natural language.
  • Multi-filtering: category/tag/author/language/license.
  • Sort by downloads/likes/comments/updated to find higher-quality skills.

4. Which import methods are supported?

  • Upload archive: .zip / .skill (recommended)
  • Upload skills folder
  • Import from GitHub repository

Note: file size for all methods should be within 10MB.

5. How to use in Claude / Codex?

Typical paths (may vary by local setup):

  • Claude Code：~/.claude/skills/
  • Codex CLI：~/.codex/skills/

One SKILL.md can usually be reused across tools.

6. Can one skill be shared across tools?

Yes. Most skills are standardized docs + assets, so they can be reused where format is supported.

Example: retrieval + writing + automation scripts as one workflow.

7. Are these skills safe to use?

Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.

8. Why does it not work after import?

Most common reasons:

  • Wrong folder path or nested one level too deep
  • Invalid/incomplete SKILL.md fields or format
  • Dependencies missing (Python/Node/CLI)
  • Tool has not reloaded skills yet

9. Does SkillWink include duplicates/low-quality skills?

We try to avoid that. Use ranking + comments to surface better skills:

  • Duplicate skills: compare differences (speed/stability/focus)
  • Low quality skills: regularly cleaned up