Convert an existing codebase in the current working directory into a ShinkaEvolve task directory by snapshotting the relevant code, adding evolve blocks, and generating `evaluate.py` plus Shinka runner/config files. Use when the user wants to optimize existing code with Shinka instead of creating a brand-new task from a natural-language description.
Use for submitting products to directory sites, awesome-lists, or search engines.
MoAI — 100개 자기진화 도메인 하네스 AI 전문가. '/moai init'으로 개인화된 하네스를 설치하고, '/moai catalog'로 카탈로그를 조회하고, '/moai status'로 상태를 확인한다. '유튜브 영상 기획', '시장 조사', '계약서 검토', '사업계획서', '여행 계획', '뉴스레터 작성', '세무 상담', '채용 파이프라인', 'ESG 보고서', '데이터 분석' 등 100가지 도메인의 전문가 하네스를 제공한다. 자연어로 도메인 요청 시 자동 감지하여 해당 하네스 레퍼런스를 로딩한다. MoAI, 모아이, harness, 하네스, 전문가 모드, expert mode.
MoAI — 100개 자기진화 도메인 하네스 AI 전문가. '/moai init'으로 개인화된 하네스를 설치하고, '/moai catalog'로 카탈로그를 조회하고, '/moai status'로 상태를 확인한다. '유튜브 영상 기획', '시장 조사', '계약서 검토', '사업계획서', '여행 계획', '뉴스레터 작성', '세무 상담', '채용 파이프라인', 'ESG 보고서', '데이터 분석' 등 100가지 도메인의 전문가 하네스를 제공한다. 자연어로 도메인 요청 시 자동 감지하여 해당 하네스 레퍼런스를 로딩한다. MoAI, 모아이, harness, 하네스, 전문가 모드, expert mode.
Moves frontend files between directories, updates imports, renames symbols, and validates with type-check/lint/test/build.
Consult the design pattern catalog before implementing or refactoring code.
File utilities — word count, line count, find duplicates, directory size
Add a directory path to the Claude Code sandbox write allowlist
Liora project entry point. This skill is organized into a modular structure in the skills/liora/ directory.
Navigate campaign workspaces with `cgo` and `camp go`. Use when you need to move between projects/festivals/workflow directories, switch context quickly, or resolve script-safe paths with `camp go --print`.
Download and install agent skills from URLs into the ~/.chatshell/skills/ directory. This skill contains the exact workflow for parsing GitHub, GitLab, Bitbucket, and direct URLs, handling all URL variants (repo root, /tree/ directory, /blob/ file, raw content links), detecting single vs. multi-skill repos, managing conflicts with backups, and verifying installations. ALWAYS use this skill when the user shares any URL that might contain a SKILL.md or asks to install/add/download/grab/set up a skill from a link -- the skill knows the correct install path and directory structure that the agent cannot infer on its own. Also triggers when a user pastes a GitHub/GitLab/Bitbucket URL mentioning "skill" in the path.
This skill should be used when the user asks to "create a catalog", "build a common.yaml", "add a new RHDP lab", "set up a new catalog item", "create an AgnosticV catalog", "build a dev.yaml", "add a catalog entry", or "create a new lab catalog for RHDP".
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:
