- 📁 language/
- 📁 util/
- 📄 index.rs
- 📄 lang.rs
- 📄 main.rs
cx
Prefer cx over reading files. Escalate: overview → symbols → definition/references → Read tool.
18 days ago · Uploaded
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Daily Featured Skills Count
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♾️ Free & Open Source 🛡️ Secure & Worry-Free
Import Skills
- 📄 SKILL.md
add-mcp-server
Add an MCP server to pi. Use when asked to "add mcp server", "configure mcp", "add mcp", "new mcp server", "setup mcp", "connect mcp server", or "register mcp server". Handles both global and project-local configurations.
16 days ago · Uploaded
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- 📄 SKILL.md
buddy
Show, pet, or manage your coding companion. Use when the user types /buddy or mentions their companion by name.
5 days ago · Uploaded
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- 📁 .github/
- 📁 graphsignal/
- 📁 src/
- 📄 .gitignore
- 📄 Dockerfile.cupti
- 📄 LICENSE
graphsignal-sdk
>-
11 days ago · Uploaded
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- 📁 scripts/
- 📄 README.md
- 📄 skill.md
document-summary-arrangement
Reads source legal documents (PDFs, images, scans via OCR), triages by importance, summarizes each document, classifies by type, and produces a structured index with metadata — the foundational skill for all legal document work.
17 days ago · Uploaded
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- 📄 SKILL.md
qveris
Search for and execute third-party API tools via the QVeris MCP server, then generate production code that calls the QVeris REST API for tasks like fetching weather data, stock prices, or public datasets. Use when the user needs to find an external API, integrate a web service, connect to a third-party REST endpoint, or retrieve data from an external source.
18 days ago · Uploaded
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- 📁 templates/
- 📄 LICENSE.txt
- 📄 SKILL.md
algorithmic-art
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
15 days ago · Uploaded
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- 📄 SKILL.md
architecture
Design PM-friendly technical architecture for features. No code, only high-level design decisions.
17 days ago · Uploaded
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- 📁 .github/
- 📁 bin/
- 📁 examples/
- 📄 .gitignore
- 📄 .zenodo.json
- 📄 apis.json
registry-broker
Search and chat with AI agents across the Universal Agentic Registry via the Hashgraph Online Registry Broker API. Use when discovering agents, starting conversations, finding incoming messages, or registering new agents.
11 days ago · Uploaded
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- 📁 references/
- 📁 scripts/
- 📁 templates/
- 📄 SKILL.md
clean-architecture-dotnet
Use when domain logic leaks into API/Infrastructure, project references violate layer boundaries, or CQRS handlers/buses need implementation.
7 days ago · Uploaded
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- 📄 SKILL.md
add-benchmark
Add a new simulation benchmark to the VLA evaluation harness. Use this skill whenever the user wants to integrate, create, or add a new benchmark or simulation environment — e.g. 'add ManiSkill3', 'integrate OmniGibson', 'hook up a new sim'. Also use when they ask how benchmarks are structured or want to understand the benchmark interface.
18 days ago · Uploaded
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- 📁 .claude-plugin/
- 📁 demos/
- 📁 images/
- 📄 .gitignore
- 📄 AGENTS.md
- 📄 gemini-extension.json
unsloth-buddy
This skill should be used when users want to fine-tune language models or perform reinforcement learning (SFT, DPO, GRPO, ORPO, KTO, SimPO) using the highly optimized Unsloth library. Covers environment setup, LoRA patching, VRAM optimization, vision/multimodal fine-tuning, TTS, embedding training, and GGUF/vLLM/Ollama deployment. Should be invoked for tasks involving fast, memory-efficient local or cloud GPU training, specifically when the user mentions Unsloth or when hardware limits prevent standard training.
12 days ago · Uploaded
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Skill File Structure Sample (Reference)
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
SKILL.md Requirements
├─ ⭐ 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
Why SkillWink?
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.
FAQ
Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.
1. What are Agent Skills?
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.
2. How do Skills work?
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.
3. How can I quickly find the right skill?
Use these three together:
- Semantic search: describe your goal in natural language.
- Multi-filtering: category/tag/author/language/license.
- Sort by downloads/likes/comments/updated to find higher-quality skills.
4. Which import methods are supported?
- Upload archive: .zip / .skill (recommended)
- Upload skills folder
- Import from GitHub repository
Note: file size for all methods should be within 10MB.
5. How to use in Claude / Codex?
Typical paths (may vary by local setup):
- Claude Code：~/.claude/skills/
- Codex CLI：~/.codex/skills/
One SKILL.md can usually be reused across tools.
6. Can one skill be shared 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.
7. Are these skills safe to use?
Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.
8. Why does it not work after import?
Most common reasons:
- Wrong folder path or nested one level too deep
- Invalid/incomplete SKILL.md fields or format
- Dependencies missing (Python/Node/CLI)
- Tool has not reloaded skills yet
9. Does SkillWink include duplicates/low-quality skills?
We try to avoid that. Use ranking + comments to surface better skills:
- Duplicate skills: compare differences (speed/stability/focus)
- Low quality skills: regularly cleaned up