Local Python-based browser automation toolkit using Playwright. Provides command-line tools for navigating, interacting with, and testing web applications without using MCP protocols. Supports clicking, typing, hovering, screenshots, content extraction, and JavaScript execution.
Project-specific build process for the Builder workflow. Builds frontend assets for claudecode_webui.
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
HealthClaw Guardrails (healthclaw.io) — FHIR agent guardrails for secure clinical data access via MCP. Supports FHIR R4 US Core v9 (stable) and R6 ballot3 (experimental). Use when: (1) Reading patient data through MCP with automatic PHI redaction, (2) Writing clinical resources with two-phase propose/commit and step-up auth, (3) Proxying requests to real FHIR servers (HAPI, SMART Health IT, Epic), (4) Auditing AI agent access to healthcare data, (5) Evaluating R6 Permission resources for access control decisions. 12 MCP tools with guardrail enforcement.
Use when user wants to audit long-term memory for stale, incorrect, outdated, or duplicate entries, or correct memory entries based on new information
Public main skill for the incubating analyzer framework. Use when the user wants to analyze captures, reconstruct pass/resource relationships, infer engine or material structure, or build reusable render knowledge instead of directly debugging a defect. This skill is the future entry for analyzer requests and currently provides the minimum intake contract only.
Sync Azure DevOps work items with git commit history. Analyzes commits, matches to work items, and proposes state updates. Use for daily task sync or sprint status updates.
Phase 1/4: Baseline",
Core methodology for AI-powered scientific hypothesis generation. Auto-loaded when discovering connections, generating hypotheses, exploring cross-disciplinary links. Includes facet recombination, adversarial prompting, evolutionary refinement, groundedness checking, and hypothesis card format.
Structured development workflow with Plan/Implement/Review phases, QA validation, context management, and audit requirements. Enforces no remote writes, mandatory checkpoints, and verifiable audit reports. Use when working on complex tasks, multi-file changes, or when the user mentions planning, workflow, implementing features, or needs structured development guidance.
Launch and coordinate Codex subagents as deferred tasks. Use when the user wants to start bounded subagent work now, keep the main thread moving without waiting by default, then later join, collect, or redirect that work through a stable task reference.
Back up all agent data to GitHub — SQLite databases, Claude Code memory, identity, skills, brain notes. Use when the user says backup, back up, save everything, push to github, or snapshot. Also used by heartbeat for automated backups.
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:
