Vertical App Studio micro-demo with optional dataset creation (domo-data-generator), ETL (magic-etl-cli or magic-etl), then multi-page layout using advanced-app-studio + domo-app-theme. Picks industry packs from references/*.md. Use when building an App Studio walkthrough that needs realistic data pipelines and themed pages per vertical.
Own and manage all bug data — BUGS.md index, bugs/ individual files, bug fixes, quality metrics. Single source of truth for everything bug and quality related.
Add Gmail integration to OmniClaw. Can be configured as a tool (agent reads/sends emails when triggered from WhatsApp) or as a full channel (emails can trigger the agent, schedule tasks, and receive replies). Guides through GCP OAuth setup and implements the integration.
Deploy the OpenTelemetry observability stack (Prometheus, Grafana, OTEL Collector) to a Kind cluster for testing registry server telemetry. Use when you need to set up monitoring, metrics collection, or observability infrastructure.
Create and configure A2A Agent Cards — the discovery document describing an agent's capabilities, skills, authentication, and endpoint. Use when defining what your agent exposes to other agents.
Guide PDF or web form filling; use when structured form completion is requested.
Harness for autonomous software development. Enforces lifecycle through alignment gates (PROJECT.md), adversarial generator/evaluator agents, CI/CD pipeline automation, and strict Git workflows (Conventional Commits, Branching).
Generate FeynRules .fr model files from LaTeX Lagrangian descriptions. Triggers when the user provides a Lagrangian in LaTeX notation and wants it converted to a FeynRules model file for particle physics simulations.
Combines uctx (decisions), ubus (messaging), and uinit (initialization).
v1.0.27 -- Detect and fix Go error handling antipatterns across a codebase. Use when auditing error handling, fixing double-handled errors, removing log-and-return patterns, cleaning up log-and-wrap helpers, or when the user asks to analyze error handling hygiene, find error handling violations, or ensure errors are handled exactly once. Covers detection patterns, classification of true vs false positives, fix strategies for interior vs boundary code, and verification steps.
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".
Implement tasks from an OpenSpec change. Use when the user wants to start implementing, continue implementation, or work through tasks.
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:
