Daily Featured Skills Count
5,034 5,070 5,117 5,165 5,205 5,241 5,277
05/08 05/09 05/10 05/11 05/12 05/13 05/14
♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

ahmadabdalla ahmadabdalla
from GitHub Ops & Delivery
  • 📁 references/
  • 📁 scripts/
  • 📄 SKILL.md
  • 📄 USAGE.md

azure-cost-calculator

Helps estimate and calculate Azure resource costs. Use this skill when users ask about Azure pricing, cost estimation, resource sizing costs, comparing pricing tiers, budgeting for Azure deployments, or understanding Azure billing. Triggers include questions like "how much will this cost in Azure", "estimate Azure costs", "compare Azure pricing", "budget for Azure resources".

0 16 1 month ago · Uploaded Detail →
stone16 stone16
from GitHub Tools & Productivity
  • 📁 hooks/
  • 📁 references/
  • 📁 scripts/
  • 📄 SKILL.md

harness

Cybernetics-based multi-agent orchestration for complex tasks. Coordinates a Planner → Generator → Evaluator → Retro pipeline with clean-context sub-agents, per-checkpoint drift prevention, and persistent retro learning.

0 14 17 days ago · Uploaded Detail →
tae0y tae0y
from GitHub Development & Coding
  • 📄 SKILL.md

api-architect

API architect for designing and generating external service integration code. Use when building REST API clients, service integrations, or applying resilience patterns (circuit breaker, bulkhead, throttling, backoff). Generates fully implemented code across service/manager/resilience layers.

0 14 18 days ago · Uploaded Detail →
loonghao loonghao
from GitHub Data & AI
  • 📄 SKILL.md

dcc-mcp-core

Foundation library for the DCC Model Context Protocol (MCP) ecosystem. Provides Rust-powered action management, skills system, IPC transport, MCP Streamable HTTP server (2025-03-26 spec, with 2025-06-18 and 2025-11-25 awareness), sandbox security, shared memory, screen capture, USD scene support, and telemetry for AI-assisted DCC workflows. Use when working with Maya, Blender, Houdini, 3ds Max, or any DCC MCP integration.

0 15 28 days ago · Uploaded Detail →
Azhi-ss Azhi-ss
from GitHub Research & Analysis
  • 📄 SKILL.md

Academic Figure Architecture Extractor & Analyzer

Use this skill whenever the user wants to extract architecture diagrams from academic papers, filter out invalid images, analyze the structure and components of diagrams, automatically match suitable color schemes, or says "提取论文架构图", "架构图分析", "从PDF中提取图表", "自动分析架构图", "architecture diagram extraction", "extract figures from pdf", "analyze architecture diagram".

0 15 28 days ago · Uploaded Detail →
Mijiang111 Mijiang111
from GitHub Data & AI
  • 📁 references/
  • 📄 SKILL.md

studio-3d-hero

Use when a Studio deck should explain one system, architecture, chip, engine, platform, device, or core object through a dominant pseudo-3D HTML/CSS hero model page. Focus on left narrative, right single model, strong spatial depth, and restrained executive presentation without dashboard clutter.

0 13 14 days ago · Uploaded Detail →
trevorfox trevorfox
from GitHub Testing & Security
  • 📄 SKILL.md

spandrel-author

Authoring discipline for Spandrel knowledge graphs — surfaces /patterns/authorship, /hypothesis, and the audit heuristics when editing graph content (nodes, descriptions, link descriptions). References canonical knowledge in the graph rather than hardcoding it. Auto-load when editing markdown with Spandrel frontmatter, or when authoring/auditing any Spandrel knowledge graph content.

0 14 19 days ago · Uploaded Detail →
GarthDB GarthDB
from GitHub Tools & Productivity
  • 📄 SKILL.md

things3-daily-review

Daily review workflow for Things 3 — pulls today's tasks, inbox, and recent work; produces a structured Markdown summary grouped by area and project with overdue items flagged. Use for morning standups, end-of-day wrap-ups, or weekly reviews.

0 12 10 days ago · Uploaded Detail →

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.

Keyword Search Version Updates Multi-Metric Ranking Open Standard Discussion

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