Daily Featured Skills Count
3,840 3,909 3,920 3,927 3,966 4,007 4,027
04/06 04/07 04/08 04/09 04/10 04/11 04/12
♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

besoeasy besoeasy
from GitHub Tools & Productivity
  • 📄 SKILL.md

age-file-encryption

Encrypt and decrypt files or streams using age — a simple, modern, and secure encryption tool with small explicit keys, passphrase support, SSH key support, post-quantum hybrid keys, and UNIX-style composability. No config options, no footguns.

0 101 10 days ago · Uploaded Detail →
resend resend
from GitHub Tools & Productivity
  • 📁 references/
  • 📄 SKILL.md

agent-email-inbox

Use when building any system where email content triggers actions — AI agent inboxes, automated support handlers, email-to-task pipelines, or any workflow processing untrusted inbound email. Always use this skill when the user wants to receive emails and act on them programmatically, even if they don't mention "agent" — the skill contains critical security patterns (sender allowlists, content filtering, sandboxed processing) that prevent untrusted email from controlling your system.

0 95 10 days ago · Uploaded Detail →
quillai-network quillai-network
from GitHub Testing & Security
  • 📁 references/
  • 📄 SKILL.md

behavioral-state-analysis

Token-efficient smart contract security auditing via Behavioral State Analysis (BSA). Scopes analysis to contract type, runs only relevant threat engines, and uses tiered output depth. Use for auditing smart contracts, security reviews, or DeFi threat modeling.

0 91 11 days ago · Uploaded Detail →
Weaverse Weaverse
from GitHub Development & Coding
  • 📄 SKILL.md

code-review

Perform thorough code reviews focusing on unused code, duplications, coding patterns, bugs, and optimizations. Use when user wants code reviewed or audited. Read-only - outputs findings without making changes.

0 77 10 days ago · Uploaded Detail →
keep-starknet-strange keep-starknet-strange
from GitHub Testing & Security
  • 📁 .agents/
  • 📁 .changeset/
  • 📁 .claude-plugin/
  • 📄 .coderabbit.yaml
  • 📄 .env.example
  • 📄 .gitignore

starknet-agentic-skills

Routes Starknet skill invocations to focused modules for contract authoring, testing, optimization, deployment, and audit workflows.

0 77 10 days ago · Uploaded Detail →
conorbronsdon conorbronsdon
from GitHub Testing & Security
  • 📄 .gitignore
  • 📄 CHANGELOG.md
  • 📄 CLAUDE.md

avoid-ai-writing

Audit and rewrite content to remove AI writing patterns ("AI-isms"). Use this skill when asked to "remove AI-isms," "clean up AI writing," "edit writing for AI patterns," "audit writing for AI tells," or "make this sound less like AI." Supports a detection-only mode that flags patterns without rewriting.

0 66 10 days ago · Uploaded Detail →
bx33661 bx33661
from GitHub Tools & Productivity
  • 📁 agents/
  • 📁 references/
  • 📄 SKILL.md

wireshark-traffic-analysis

Use when analyzing packet captures or live network traffic with Wireshark MCP; choose the right workflow for triage, security hunting, incident response, troubleshooting, or CTF work, then produce evidence-backed findings with exact filters, streams, frames, and next steps.

0 63 11 days ago · Uploaded Detail →
TatsukiMeng TatsukiMeng
from GitHub Data & AI
  • 📁 agents/
  • 📁 references/
  • 📄 SKILL.md

excalidraw-normalizer

规范化 Excalidraw 图,确保后续可维护编辑、绑定关系安全、编辑器辅助重排和夜间模式安全导出。处理 `.excalidraw` 架构图、拓扑图、流程图或系统图,并且需要修复 container/binding、重排几何布局、清理连接线或导出透明 PNG 到文档时使用。

0 49 6 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