Free to get · One-click to use
Run and debug GitHub Actions workflows locally using the `act` CLI tool. Covers runner image selection, secrets/vars handling, job targeting, event simulation, and common troubleshooting patterns.
Agent assignment matrix, blocker escalation, and TDM coordination patterns. Use when assigning work to specialists, managing blockers, or coordinating multi-agent workflows.
Manage Quadrants tasks and projects via natural language. Use when the user wants to create, view, complete, or organize tasks on the Eisenhower Matrix. Supports listing projects, adding tasks (single or bulk), viewing priority tasks, completing tasks, and getting project overviews. Triggers on mentions of "quadrants", "tasks", "to-do", "eisenhower", "priority matrix", or task management requests.
提供HTTP API调用能力，支持GET/POST/PUT/DELETE请求，自动处理JSON、认证、错误重试等。
RESTful API design patterns and best practices. Use when creating endpoints, designing APIs, or implementing routes.
Use when creating or modifying OpenCode rules (.md/.mdc files) that customize agent behavior. Helps extract patterns from conversation history, analyze project conventions (AGENTS.md, linters, package.json), and draft well-formatted rules with appropriate globs/keywords. Trigger when user wants to create a rule, codify repeated instructions, persist guidance across sessions, or customize agent behavior for specific files or topics.
Evidence-based endurance cycling coaching protocol (v11.10). Use when analyzing training data, reviewing sessions, generating pre/post-workout reports, planning workouts, answering training questions, or giving cycling coaching advice. Always fetch athlete JSON data before responding to any training question.
Creates VS Code custom agent files (.agent.md) for specialized AI personas with tools, instructions, and handoffs. Use when scaffolding new custom agents, configuring agent workflows, or setting up agent-to-agent handoffs.
Get started with @farming-labs/docs — MDX-based documentation for Next.js, SvelteKit, Astro, and Nuxt. Use when setting up docs, scaffolding with the CLI, choosing themes, or writing docs.config. Covers init, --template, manual setup, and theme CSS.
provider configuration, context management, cron automation, sub-agent architecture, skills,
A skill
Manage Hathor wallet-lib release process. Use when initiating a release (PR from master to release branch) or bumping version (minor/patch/major). Handles PR creation with proper templates, reviewer assignment, labels, and GitHub project integration.
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 AI semantic + 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: