- 📁 .claude-plugin/
- 📁 .github/
- 📁 bench/
- 📄 .gitignore
- 📄 .pre-commit-config.yaml
- 📄 AGENTS.md
keep
Reflective Memory
Reflective Memory
创建和修改 Agent 的指南。当用户想要创建新的 Agent 或修改现有 Agent 时使用此 Skill。Agent 是定义 AI 角色、行为准则和工作流程的 Markdown 文件,存放在 marketplace 的 atoms/agents 目录下。
Set up and launch an autonomous AI research project with Limina. TRIGGER when: user types /limina, says 'start a limina project', 'set up a research project', 'I want to research X autonomously', 'create a research agent', 'autonomous research', 'start a new research mission', or asks to investigate/research a hard technical problem systematically with experiments and evidence. Also triggers on 'limina' mentioned as a tool to use. DO NOT TRIGGER for: general coding questions, simple research lookups, or tasks that don't need structured multi-session research.
Automate DSers dropshipping — search products, import from AliExpress/Alibaba/Accio, apply pricing rules, push to Shopify & Wix, and replace broken suppliers at the SKU level. 13 tools for the full product lifecycle.
Manually trigger context compaction to summarize conversation history.
How keyboard shortcuts are wired globally and per-panel in this repo.
Development guidelines for DotCraft project. Use this skill when developing DotCraft core features, adding new modules (including external channel adapters via AppServer/JRPC), modifying existing code, or writing documentation. Covers C# code style, tool naming (PascalCase for AI functions), module development norms (via spec), external channel extension with Python SDK, spec-first workflow, testing requirements, and bilingual documentation.
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Use token-efficient CLI patterns instead of verbose MCP output when direct shell tools are enough. Provides JSON or compact-output conventions for gh, mgrep, psql, and similar tools.
Compose an arrangement for a tape — plan which elements enter and exit over time, then generate a playable CCArrangement.
Perform a self-review of a PR before requesting human review. TRIGGER when user invokes /pr-selfcheck, when the git workflow reaches the self-review step after PR creation, or as a required gate before running `gh pr ready`. Accepts a PR number as an argument.
Recursive maths animator — Manim-based technical animations with optional voiceover (manim-voiceover), git scene versioning, pinned requirements, asset folders, GIF approval previews, and a vision verification loop (frame extract, multimodal review in Cursor/Claude Code, VERIFICATION_FEEDBACK.md, iterate). Brief-first workflow: pitch a digestible animation plan and design options, get user approval, then code; lock theme in DESIGN_THEME.md.
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: