Free to get · One-click to use
BMAD 全自动项目编排 Skill。从需求到部署的完整研发流水线，编排多个专业 Agent（PM、架构师、UI 设计师、Tech Lead、Scrum Master、开发者、QA、DevOps）自动完成完整研发周期。当用户说 'boss mode'、'/boss'、'全自动开发'、'从需求到部署'、'帮我做一个'、'build this'、'ship it'、'全流程'、'自动化开发'、'一键开发'、'start a project'、'new feature' 时使用。适用于新项目搭建或现有代码库添加功能。
顶级 AI 开发战队 (God-Tier)。调度 10 位精英专家 (PM/架构/UI/UX/安全/代码/DBA/QA/DevOps/RCA)，交付商业级研发资产。内置思维链 (CoT) 与实时市场情报系统。
秘書から始める仮想組織スキル。 3ステップで即運用開始。部署は必要に応じて自然に増える。
Scaffold, structure, and manage AI/ML projects that run on AzureML. Covers project initialization (uv workspaces, devcontainers, Makefile), Python packaging with explicit dependencies, local and cloud execution, experiment reproducibility, and extensibility patterns (pipelines, datasets, linting). Use this skill whenever the user asks to create, modify, run, test, or deploy an AzureML-based ML project — or when they need guidance on project layout, dependency management, or cloud job submission with Azure Machine Learning.
为 Apple 平台构建、测试、存档和部署 Swift 包和 Xcode 项目。在运行 xcodebuild、swift build、swift test、xcrun simctl、xcrun devicectl 或任何 xcrun 开发人员工具时使用。涵盖项目发现、模拟器管理、物理设备部署、代码签名、分析、分发和二进制检查。
Docker infrastructure manager for Odoo — production deployment, nginx proxy, CI/CD pipelines, performance tuning, multi-version image management, container debugging, and centralized workspace orchestration for Odoo 14-19 Enterprise. v2.0 consolidates nginx, debug, and perf into natural language triggers alongside the /odoo-docker sub-command interface. <example>
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
├─ ⭐ 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
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.
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.
Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.
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.
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.
Use these three together:
Note: file size for all methods should be within 10MB.
Typical paths (may vary by local setup):
One SKILL.md can usually be reused 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.
Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.
Most common reasons:
We try to avoid that. Use ranking + comments to surface better skills:
