Online supermarket automation. Login, search products, add to cart/wishlists, magicorder from past orders. Supports Shufersal, Keshet Teamim, Rami Levy, and Tiv Taam. Usage: /superme login <vendor>, /superme search <product>, /superme add <#>, /superme magicorder, /superme lists, /superme cart, /superme help
Kuaifa (快发) — publish Markdown articles to WeChat Official Accounts via the kuaifa CLI. Use this skill whenever the user wants to publish an article to WeChat, publish image messages, manage kuaifa configuration or templates, or mentions '快发', 'kuaifa', 'publish to WeChat', '发布公众号', '微信发布', '发文章'. Also trigger when the user has a Markdown file and wants to distribute it to WeChat, or asks about WeChat article formatting and themes.
AWS Cloud Development Kit (CDK) expert for building cloud infrastructure with TypeScript/Python. Use when creating CDK stacks, defining CDK constructs, implementing infrastructure as code, or when the user mentions CDK, CloudFormation, IaC, cdk synth, cdk deploy, or wants to define AWS infrastructure programmatically. Covers CDK app structure, construct patterns, stack composition, and deployment workflows.
Build Houston App locally (macOS). Clean stale artifacts, pnpm tauri build, notarize DMG manually (Tauri skips), staple, verify, copy to ~/Desktop/Houston-{version}.dmg. Fallback when CI broken.
Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.
Comprehensive writing workflow from ideation to publication. Guides users through creating polished articles by collecting ideas, asking clarifying questions, researching content, polishing drafts, adding images, and publishing to platforms like WeChat or X. Use when users want to write articles, blog posts, or long-form content, especially when starting from a topic idea, rough materials, or initial draft. Also use when users mention writing, publishing, or content creation workflows.
Add a new endpoint or endpoints to Ghost's Admin API at `ghost/api/admin/**`.
Interact with Google NotebookLM notebooks — chat with the AI, generate artifacts (slides, audio, video, mind maps, quizzes, flashcards, infographics, reports, data tables), manage sources (add URLs, YouTube, files, text), run research (fast/deep web research), and manage notes. Use when the user wants to query, create content from, or manage their NotebookLM notebooks and sources.
Design clear public Nim APIs for libraries and modules, including exported types, constructors, lookup functions, error contracts, and container-style interfaces. Use when creating or reviewing a Nim library API, designing an exported module surface, or deciding how callers should construct, access, and validate data.
Batch-process open GitHub issues with parallel agents. Analyzes conflicts, dispatches workers, creates PRs. Usage: /batch-issues [issue numbers] [--dry-run] [--max-parallel N]
automated reviewers, fetch comments, fix or pushback, reply, resolve threads.
Writes and reviews Conventional Commits commit messages (v1.0.0) to support semantic versioning and automated changelogs. Use when drafting git commit messages, PR titles, release notes, or when enforcing a conventional commit format (type(scope): subject, BREAKING CHANGE, footers, revert).
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:
