AgentLog Auto Logging Skill for OpenClaw agents. Automatically captures agent reasoning, tool calls, and responses, then logs them to the AgentLog MCP server for compliance and audit purposes.
Frontend-focused code review skill for React/TypeScript/Tailwind projects. Analyzes code quality, security vulnerabilities (XSS, CSRF), performance issues, accessibility (WCAG), React best practices, hooks usage, component architecture, responsive design, and SEO. Use when users request code review, want feedback on components, ask about frontend security, performance optimization, or accessibility compliance. Provides actionable feedback with severity levels and fix suggestions.
Intelligent skill knowledge gateway. Routes tasks to the right knowledge without loading all skills into context. MUST be consulted before any coding task — call the search_skills MCP tool to retrieve relevant expertise from 100+ indexed skills covering Swift, SwiftUI, concurrency, testing, architecture, performance, and security.
Catalog CLI audits Amazon Category Listing Reports (CLR files, .xlsx) for listing quality issues. It runs 12 query plugins covering missing attributes, title validation, bullet point optimization, product type checks, and more.
Active Directory security audit using the MITRE ATT&CK framework. Full domain enumeration, trust mapping, GPO analysis, ACL abuse paths, ADCS attacks (ESC1-ESC8), delegation abuse (constrained/unconstrained/RBCD), fine-grained password policies, LAPS deployment, service account security, and Kerberos configuration. Uses enum4linux-ng, netexec, impacket, ldapsearch, certipy-ad, bloodhound-python, and rpcclient. Produces attack path diagrams, prioritized risk register, and PoCs. Chains into /gh-export for issue filing.
Audit BMAD source files for file-reference convention violations using parallel Haiku subagents. Use when users requests an "audit file references" for a skill, workflow or task.
审查代码、diff、提交或当前 git 改动，重点发现 bug、行为回归、边界条件遗漏、安全风险、性能问题和缺失测试。当用户提到 code review、review 这段代码、帮我看看改动有没有问题、审查 PR/提交时使用；不要用于单纯解释代码或直接实现需求。
Audit scattered repository docs and notes, then move only the right working context into the `project-context` structure.
AI-first security auditor for Solidity smart contracts. 4-phase pipeline (recon → detection → state analysis → verification) with 101 heuristics, 15 detection modules, and 8 kill gates. Tested at 100% precision across 50 blind shadow audits.
Build a production-quality Figma component from a frame, screenshot, URL, or description. Binds all values to design tokens, detects sub-components, audits token gaps, wires interaction states, and proposes variants. Ends by suggesting /fig-qa.
Enforces Universal Prompt Security Standard (UPSS) for every prompt interaction — detects and blocks prompt injection, jailbreaks, role confusion, privilege escalation, encoding exploits, and supply-chain tampering before any LLM execution.
Gebruik deze skill wanneer de gebruiker vraagt over 'API Design Rules', 'ADR', 'REST API standaard', 'API richtlijnen', 'NL GOV API', 'Spectral linter', 'API linter', 'OpenAPI validatie', 'API design', 'REST API naming', 'transport security', 'API signing', 'API encryption', 'geospatial API', 'api-linter', 'problem+json', 'error response format'.
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:
