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Import Skills

AdamBien AdamBien
from GitHub Development & Coding
  • 📄 README.md
  • 📄 SKILL.md

continuous-testing

Continuous test-driven development loop — after every code change, builds the project, starts the server, and runs Unit Tests, Integration Tests, and System Tests. Applies on top of microprofile-server skill. Use during development when you want full verification after each change. Triggers on "continuous testing", "continuous-testing", "test loop", "st-loop", or requests to run all tests after every change.

0 16 11 days ago · Uploaded Detail →
Umutayb Umutayb
from GitHub Development & Coding
  • 📄 SKILL.md

pickleib

Use this skill whenever writing, editing, or generating Cucumber/Gherkin tests with the Pickleib framework! Triggers on any mention of Pickleib, PickleibSteps, BuiltInSteps, page-repository.json, @PageObject, @ScreenObject, @FindBy page objects, CommonSteps, ObjectRepository, PickleibWebDriver, PickleibAppiumDriver, or any request to write, fix, or add to a Cucumber test in a test automation project. Also use when asked to add entries to a page-repository JSON file, define page objects, write feature files, select dropdowns, verify elements, or perform any browser/mobile interaction through Pickleib. Always consult this skill before generating test code or locator definitions — do not guess step syntax or method signatures. --- # Pickleib — Agent Skill A Cucumber-based test automation framework that decouples **element acquisition** (via JSON repository or Java Page Objects) from **element interaction** (via built-in Cucumber steps). Tests are written in Gherkin; raw Selenium/Appium calls never appear in feature files. ## Companion Skills | Skill | Activates when | What it does | |---|---|---| | `test-composer` | User asks to expand coverage or "add more scenarios" | Iterative test suite expansion across the full app | | `bug-discovery` | After test coverage is achieved | Adversarial bug hunting after tests pass | --- ## ABSOLUTE RULES **STOP. Read before any action.** ### 1. Do NOT skip stages This skill operates in four stages. Complete each stage and get user approval before advancing.

0 12 5 days ago · Uploaded Detail →
alexandriashai alexandriashai
from GitHub Tools & Productivity
  • 📁 Tools/
  • 📁 Workflows/
  • 📄 AIVision.md
  • 📄 CognitivePersonas.md
  • 📄 CognitiveState.md

CBrowser

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.

0 12 9 days ago · Uploaded Detail →
pvillega pvillega
from GitHub Data & AI
  • 📁 references/
  • 📄 SKILL.md

bugmagnet

Discover edge cases and test coverage gaps through systematic analysis. Use when analysing test coverage, finding bugs, hunting for edge cases, reviewing code for robustness, or when code-reviewer identifies test gaps. Also use when the user says things like "what could go wrong", "is this well tested", "find holes in my tests", "what am I missing", or asks about edge cases for any function or module.

0 13 12 days ago · Uploaded Detail →
kensa-dev kensa-dev
from GitHub Tools & Productivity
  • 📁 references/
  • 📄 SKILL.md

kensa-test

Review and improve Kensa BDD tests written in Kotlin. Use this skill whenever the user shares a Kensa test file, asks you to review or improve a Kensa test, or mentions Given-When-Then tests in a Kensa project. Kensa tests use the KensaTest interface with given()/whenever()/then() DSL, @RenderedValue, @ExpandableSentence, Fixtures, and produce HTML reports with sequence diagrams.

0 12 11 days ago · Uploaded Detail →
imyousuf imyousuf
from GitHub Data & AI
  • 📄 SKILL.md

atr-analyze

Run tests, linters, type checkers, and builds with AI-powered analysis. Use this INSTEAD OF running test/lint/build commands directly via Bash. Wraps any command (pytest, jest, go test, make test, npm test, make lint, mypy, tsc, eslint, golangci-lint, cargo clippy, make typecheck, make build, etc.) to produce clean summarized output, keeping conversation context small. When a test or lint fails, ATR analyzes the full output and returns actionable failure insights.

0 8 6 days ago · Uploaded Detail →
c9r-io c9r-io
from GitHub Development & Coding
  • 📁 agents/
  • 📄 SKILL.md

align-tests

Execute unit-test alignment after large refactors or broad code changes. Trigger when the user explicitly uses the command "-- 对齐测试 --" or asks to align/fix tests after massive modifications. Run relevant unit tests, analyze failing test cases, update tests and/or implementation, and iterate until stable.

0 9 13 days ago · Uploaded Detail →

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.

Keyword Search Version Updates Multi-Metric Ranking Open Standard Discussion

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