Free to get · One-click to use
Write effective Architecture Decision Records. Use when: (1) Creating a new ADR, (2) Recording a design decision, (3) User mentions ADR, decision, trade-off, or alternatives
Create and manage Architecture Decision Records. Documents significant technical decisions with context, alternatives, and consequences.
Accessibility (A11y) reviewer for WCAG 2.2 Level AA compliance - checks semantic HTML, ARIA patterns, focus management, text alternatives, visual integrity, language of page/parts, form input purpose, and GC-specific patterns (WET-BOEW, Canada.ca) in code changes following CAN/ASC - EN 301 549:2024
First Principles Framework (FPF) — thinking amplifier. Use when user wants to think through a complex problem, architect a system, evaluate alternatives, decompose complexity, or plan rigorously. Also triggers on: FPF, bounded contexts, SoTA packs, assurance calculus, FPF Parts A-K. Not for simple task planning, general philosophy, or Agile unrelated to FPF.
This skill should be used when choosing "data structures", "Map vs ETS vs gb_trees performance", evaluating "hash functions", needing "HyperLogLog or bloom/cuckoo filters", or comparing OTP built-ins against specialized alternatives for Elixir
Evaluate high-level protocol or system designs for overcomplication, then propose simpler, more structured alternatives with explicit trade-offs. Use when the user wants to challenge a system design, simplify an architecture, reduce protocol complexity, or compare design alternatives.
Generates and compares implementation alternatives for Ruby on Rails decisions. Use when choosing between architectural approaches, query patterns, service boundaries, framework features, or rollout strategies. Triggers on alternatives, tradeoffs, option A/B, design choice, compare approaches, or should we use X vs Y.
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:
