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♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
nelsonfrugeri-tech nelsonfrugeri-tech
from GitHub Databases & Storage
  • 📁 references/
  • 📄 SKILL.md
database python security

ai-engineer

Baseline de conhecimento para AI/ML engineering moderno em Python. Foco em LLM engineering, RAG systems, agent frameworks (LangChain/LangGraph), multiple LLM providers (Anthropic, OpenAI, Bedrock, Gemini, Meta), vector databases (Qdrant), semantic caching (MongoDB, Redis), testing, observability, security, e production patterns. Complementa arch-py skill com patterns AI-specific.

⬇0 ❤5 18 days ago · Uploaded Detail →
bitbond bitbond
from GitHub Testing & Security
  • 📁 assets/
  • 📁 references/
  • 📁 src/
  • 📄 .env.example
  • 📄 .gitignore
  • 📄 CHANGELOG.md
token security tokens

token-tool-mcp

Deploy and manage compliant tokens on 10 blockchain networks via Bitbond TokenTool MCP (17 tools). Use when user asks to deploy a token, create an ERC-20, issue a security token, tokenize an asset, mint tokens, burn tokens, pause token transfers, create an SPL token on Solana, issue a Stellar asset, estimate deployment cost, check token info, list deployed tokens, set up whitelist or blacklist compliance, manage whitelist/blacklist addresses, check compliance status, or manage token lifecycle. Supports EVM chains, Solana, and Stellar with CertiK-audited contracts.

⬇0 ❤5 19 days ago · Uploaded Detail →
KilimcininKorOglu KilimcininKorOglu
from GitHub Testing & Security
  • 📁 subcommands/
  • 📄 SKILL.md
security audit bug-report

bug-report

This skill MUST be invoked when the user asks for systematic bug analysis, or any focused audit such as "api audit", "auditcodex", "cache audit", "disaster recovery", "error review", "feature flags audit", "integration security", "observability audit", "queue audit", "release discipline", "serialization audit", "session audit", "tech debt", "tenant isolation", "test review", "upload security", "ai code audit", "dead code", any security vulnerability scan such as "sql injection", "xss", "rce", "ssrf", "xxe", "access control", "path traversal", "file upload", "ssti", "graphql injection", "business logic", "missing auth", or "security recon", or a FULL security sweep such as "güvenlik taraması", "security scan", "full security scan", "run all security scans", or "security sweep". Use `/bug-report` for general scans, `/bug-report <subcommand>` for domain-specific audits, and `/bug-report security-sweep` to run all security scans in parallel. All modes write verified findings to BUG-REPORT.md using the shared report contract.

⬇0 ❤5 19 days ago · Uploaded Detail →
taoq-ai taoq-ai
from GitHub Data & AI
  • 📁 .github/
  • 📁 .specify/
  • 📁 benchmarks/
  • 📄 .dockerignore
  • 📄 .env.example
  • 📄 .gitignore
security automation data

ziran

ZIRAN is an open-source security testing framework for AI agents. It discovers dangerous tool chain compositions via knowledge graph analysis, detects execution-level side effects (not just text output), and runs multi-phase trust exploitation campaigns that model real attacker behavior.

⬇0 ❤5 20 days ago · Uploaded Detail →
genexuslabs genexuslabs
from GitHub Development & Coding
  • 📁 references/
  • 📄 evals.json
  • 📄 SKILL.md
chameleon components security

chameleon-controls-library

Builds UIs with Chameleon web components (ch-*). Use when the user mentions Chameleon, ch- components, or needs enterprise UI patterns like grids, trees, chat, sidebars, accordions, combos, tabs, dialogs, or forms. Also use for: implementing a UI from Figma or images, vibe coding a UI, migrating an existing UI to Chameleon, or auditing Chameleon usage in an application.

⬇0 ❤5 20 days ago · Uploaded Detail →
surahli123 surahli123
from GitHub Research & Analysis
  • 📁 hooks/
  • 📄 dashboard.html
  • 📄 README.md
  • 📄 references.md
security data karpathy-style

autorefine

Iterate and improve any skill using eval-grounded autoresearch. Combines v2.0 design audit, Hamel's Three Gulfs eval methodology, and Karpathy-style mutation optimization. Use when you want to assess skill quality, build evals from scratch, run error analysis, or optimize a skill through experiments.

⬇0 ❤5 20 days ago · Uploaded Detail →
netresearch netresearch
from GitHub Testing & Security
  • 📁 assets/
  • 📁 references/
  • 📁 scripts/
  • 📄 checkpoints.yaml
  • 📄 SKILL.md
security conformance compliance

typo3-conformance

Use when assessing TYPO3 extension quality, conformance checking, standards compliance, modernization to v12/v13/v14, TER readiness, or best practices review. Also triggers on: extension audit, quality score, full assessment, fix all findings, conformance audit, Bootstrap 5 migration, CSP compliance, ViewHelper security, XLIFF hygiene, PHP 8.4/8.5 compat.

⬇0 ❤5 21 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