Lightweight read-only audit. Use host-appropriate review coverage for evidence and findings. Iterate on disagreement or low confidence. No code changes.
二进制逆向工程。当需要分析二进制文件、固件、可执行程序、理解程序逻辑、识别漏洞时，应主动（PROACTIVELY）使用此 skill。
Foundation library for the DCC Model Context Protocol (MCP) ecosystem. Provides Rust-powered action management, skills system, IPC transport, MCP Streamable HTTP server (2025-03-26 spec, with 2025-06-18 and 2025-11-25 awareness), sandbox security, shared memory, screen capture, USD scene support, and telemetry for AI-assisted DCC workflows. Use when working with Maya, Blender, Houdini, 3ds Max, or any DCC MCP integration.
Generic bioinformatics reproduction playbook for data discovery, execution planning, degradation, and auditable negative or partial results without paper-specific shortcuts.
WCAG 2.1 AA compliance audit plus Universal Design for Learning (UDL 3.0) enhancement review for course designs. Two-tier output: "Must Fix" for accessibility violations and "Should Improve" for UDL recommendations. Works standalone or reads from the idstack project manifest. (idstack) --- <!-- AUTO-GENERATED from SKILL.md.tmpl -- do not edit directly --> <!-- Edit the .tmpl file instead. Regenerate: bin/idstack-gen-skills --> ## Preamble: Interaction Conventions idstack skills are designed to run in multiple CLIs (Claude Code, OpenAI Codex CLI, and others). To stay portable, skill bodies use a few **concept names** that have a CLI-specific
Structured code review checklist for the Reviewer agent. Provides a systematic framework for evaluating code changes across correctness, security, performance, and maintainability.
Audit a NousResearch/hermes-agent checkout or fork for Hermes-specific runtime-contract drift, command-surface splits, memory/skill/gateway health, and agent architecture risks. Uses the hermescheck Python library (hermescheck.report.v1) for structured reports with severity-ranked findings and code-first fix plans.
Full website SEO audit with parallel subagent delegation. Crawls up to 500 pages, detects business type, delegates to 10 specialists (7 core + 3 conditional), generates health score. Use when user says "audit", "full SEO check", "analyze my site", or "website health check".
Audit all Claude memory and documentation files for staleness, symbol accuracy, and context budget.
Continuous learning system for Claude Code. Observes sessions, crystallizes patterns as atomic instincts with confidence scoring, distills proven knowledge into laws. Commands: /cx-status, /cx-dashboard, /cx-analyze, /cx-distill, /cx-validate, /cx-evolve, /cx-eod, /cx-gotcha, /cx-audit, /cx-downvote, /cx-retro, /cx-timeline, /cx-export, /cx-backup, /cx-restore, /cx-dream, /cx-router, /cx-promote, /cx-feedback, /cx-feedback-auto.
Systematic reverse engineering of unknown systems using scientific methodology. Use when: (1) Black-box analysis, (2) Competitive intelligence, (3) Security analysis, (4) Forensics, (5) Building predictive models. Features 6-phase protocol, Bayesian inference, compositional synthesis, and psychological profiling (PSYCH tier).
or non-idiomatic Go code in their project. Also when asked "how good is this code?" or "audit my code."
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:
