- 📄 SKILL.md
anws-system
当用户在 skills-only 环境中需要判断应该从哪个 anws 工作流开始，或需要在 forge / change / genesis / probe / blueprint / challenge / upgrade 之间路由时使用。它是 anws 工作流集合的导航入口。
22 days ago · Uploaded
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Daily Featured Skills Count
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♾️ Free & Open Source 🛡️ Secure & Worry-Free
Import Skills
- 📄 embed.go
- 📄 SKILL.md
gh-issue-sync
Manage GitHub issues locally as Markdown files. Use for triaging, searching, editing, and creating issues without leaving your editor or terminal.
20 days ago · Uploaded
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- 📁 config/
- 📁 scripts/
- 📄 CHANGELOG.md
- 📄 LICENSE.txt
- 📄 SKILL.md
clawhub-sync
将本地开发的 Skills 批量同步到 ClawHub 平台。支持智能 .gitignore 过滤、白名单控制、增量同步、单个 skill 同步。本技能应在用户需要将本地 skills 发布到 ClawHub、批量同步技能、检查发布状态时使用。
21 days ago · Uploaded
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- 📁 .codex/
- 📁 .github/
- 📁 agents/
- 📄 .gitignore
- 📄 ARCHITECTURE.md
- 📄 CONTRIBUTING.md
event-tracking-skill
End-to-end GA4 + GTM tracking skill for site analysis, page grouping, schema design, GTM sync, preview QA, and publish readiness across generic sites and Shopify.
11 days ago · Uploaded
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- 📄 README.md
- 📄 README.ru.md
- 📄 SKILL.md
cc-analytics
Use when user asks for Claude Code usage stats, weekly analytics, project activity summary, or wants to see what projects were worked on. Triggers on "аналитика", "статистика claude", "cc stats", "weekly report", "что делал
22 days ago · Uploaded
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- 📄 SKILL.md
autoresearch
Set up and run an autonomous experiment loop for any optimization target. Use when asked to start autoresearch or run experiments.
23 days ago · Uploaded
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- 📄 SKILL.md
adapt
Adapt designs to work across different screen sizes, devices, contexts, or platforms. Ensures consistent experience across varied environments.
23 days ago · Uploaded
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- 📄 SKILL.md
phantom-connect-sdk
Perform a structured code quality review of a single package in this monorepo.
18 days ago · Uploaded
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- 📄 SKILL.md
architecture-patterns
Internal skill. Use cc10x-router for all development tasks.
16 days ago · Uploaded
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- 📄 SKILL.md
maui-ai-debugging
End-to-end workflow for building, deploying, inspecting, and debugging .NET MAUI and MAUI Blazor Hybrid apps as an AI agent. Use when: (1) Building or running a MAUI app on iOS simulator, Android emulator, Mac Catalyst, macOS (AppKit), or Linux/GTK, (2) Inspecting or interacting with a running app's UI (visual tree, tapping, filling text, screenshots, property queries), (3) Debugging Blazor WebView content via CDP, (4) Managing simulators or emulators, (5) Setting up MauiDevFlow in a MAUI project, (6) Completing a build-deploy-inspect-fix feedback loop, (7) Handling permission dialogs and in-app/simulator alerts, (8) Managing multiple simultaneous apps via the broker daemon. Covers: the unified `maui devflow` CLI, androidsdk.tool, appledev.tools, adb, xcrun simctl, Linux `xdotool`-backed driver caveats, and dotnet build/run for all MAUI target platforms including macOS (AppKit) and Linux/GTK. Do not use for generic desktop automation, AppleScript macros, or arbitrary host-level `xdotool` control unrelated to MAUI app debugging. --- # MAUI AI Debugging Build, deploy, inspect, and debug .NET MAUI apps from the terminal. This skill enables a complete
4 days ago · Uploaded
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- 📁 .github/
- 📁 references/
- 📄 LICENSE
- 📄 README.md
- 📄 SKILL.md
temporal-developer
Develop, debug, and manage Temporal applications across Python, TypeScript, Go, Java and .NET. Use when the user is building workflows, activities, or workers with a Temporal SDK, debugging issues like non-determinism errors, stuck workflows, or activity retries, using Temporal CLI, Temporal Server, or Temporal Cloud, or working with durable execution concepts like signals, queries, heartbeats, versioning, continue-as-new, child workflows, or saga patterns.
20 days ago · Uploaded
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- 📁 references/
- 📄 SKILL.md
dagster-expert
Expert guidance for working with Dagster and the dg CLI. ALWAYS use before doing any task that requires knowledge specific to Dagster, or that references assets, materialization, components, data tools or data pipelines. Common tasks may include creating a new project, adding new definitions, understanding the current project structure, answering general questions about the codebase (finding asset, schedule, sensor, component or job definitions), debugging issues, or providing deep information about a specific Dagster concept. --- ## Core Dagster Concepts Brief definitions only (see reference files for detailed examples): - **Asset**: Persistent object (table, file, model) produced by your pipeline - **Component**: Reusable building block that generates definitions (assets, schedules, sensors, jobs, etc.) relevant to a particular domain. ## Integration Workflow When integrating with ANY external tool or service, read the [Integration libraries index](./references/integrations/INDEX.md). This contains information about which integration libraries exist, and references on how to create new custom integrations for tools that do not have a published library. ## dg CLI The `dg` CLI is the recommended way to programmatically interact with Dagster (adding definitions, launching runs, exploring project structure, etc.). It is installed as part of the `dagster-dg-cli` package. If a relevant CLI command for a given task exists, always attempt to use it. ONLY explore the existing project structure if it is strictly necessary to accomplish the user's goal. In many cases, existing CLI tools will have sufficient understanding of the project structure, meaning listing and reading existing files is wasteful and unnecessary. Almost all `dg` commands that return information have a `--json` flag that can be used to get the information in a machine-readable format. This should be preferred over the default table output unless you are directly showing the information to the user. ## UV
21 days ago · Uploaded
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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.
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