Free to get · One-click to use
21 production-ready scripts for iOS app testing, building, and automation. Provides semantic UI navigation, build automation, accessibility testing, and simulator lifecycle management. Optimized for AI agents with minimal token output.
Go testing patterns for Gentleman.Dots, including Bubbletea TUI testing.
A minimal test skill for e2e testing of the skill pack resolver.
A sample skill for testing - must be at least 20 characters
A simple greeting skill for plugin testing
Cognitive Browser - AI-powered browser automation with constitutional safety, AI visual regression, cross-browser testing, responsive testing, A/B comparison, and user perspective testing. v16.10.0 (25 cognitive traits with research-based correlations, 9 personas, persona questionnaire, FCP/TTFB Web Vitals ratings, reduced stealth false positives). USE WHEN cognitive browser, smart browser, AI browser automation, vision-based automation, self-healing selectors, autonomous web agent, user testing, persona testing, authenticated automation, test suite, natural language tests, repair tests, fix broken tests, flaky test detection, detect flaky tests, unreliable tests, constitutional safety, safe automation, visual regression, screenshot comparison, cross-browser, responsive testing, viewport testing, mobile testing, A/B testing, staging vs production, compare URLs, performance regression, test coverage, coverage map, coverage gaps, MCP server, Claude Desktop, remote MCP, custom connector, Auth0 OAuth, accessibility, a11y, ARIA, verbose, debug, overlay, dismiss overlay, CI/CD, GitHub Action, Docker, GitLab CI, cognitive journey, cognitive simulation, user abandonment, friction detection, cognitive traits, patience, frustration, confusion, resilience, bounce-back, recovery, vision mode, hover, dropdown menu, daemon mode, persistent session, explore, custom dropdown, Alpine.js, React Select, agent-ready, competitive benchmark, empathy audit, focus hierarchy, attention patterns, session bridge, api-free, compare personas, deterministic, motor-tremor, low-vision, adhd, color-blind, disability personas, persona questionnaire, 25 traits, 6 tiers, trait correlations, web vitals.
This skill provides comprehensive guidance for end-to-end testing of Odoo 19 modules using HttpCase and UI testing frameworks.
Obol Stack development, testing, and LLM routing validation through LiteLLM. Use when developing, testing, or validating inference paths (Ollama, Anthropic, OpenAI) through the LiteLLM gateway, writing integration tests, or working with obol CLI wrappers.
Write unit and integration tests for Angular v21+ applications using Vitest or Jasmine with TestBed, component harnesses, and modern testing patterns. Use for testing components with signals, OnPush change detection, services with inject(), and HTTP interactions. Triggers on test creation, testing signal-based components, mocking dependencies, or setting up test infrastructure.
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:
