Daily Featured Skills Count
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♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
integromat integromat
from GitHub Testing & Security
  • 📁 references/
  • 📄 SKILL.md
mcp make backend

make-mcp-reference

This skill should be used when the user asks about "Make MCP server", "Make MCP tools", "MCP token", "Make OAuth", "scenario as tool", "MCP scopes", "Make API access", "connect Make to Claude", "scenario not appearing", "MCP timeout", "MCP connection refused", or discusses configuring, troubleshooting, or understanding the Make.com MCP server integration. Provides technical reference for connection methods, scopes, access control, and troubleshooting.

⬇0 ❤21 8 days ago · Uploaded Detail →
jonathan-vella jonathan-vella
from GitHub Development & Coding
  • 📁 examples/
  • 📁 references/
  • 📁 scripts/
  • 📄 LICENSE.txt
  • 📄 SKILL.digest.md
  • 📄 SKILL.md
insights app application

appinsights-instrumentation

Guidance for instrumenting webapps with Azure Application Insights. Provides telemetry patterns, SDK setup, and configuration references. WHEN: how to instrument app, App Insights SDK, telemetry patterns, what is App Insights, Application Insights guidance, instrumentation examples, APM best practices.

⬇0 ❤29 28 days ago · Uploaded Detail →
gaia-react gaia-react
from GitHub Data & AI
  • 📄 SKILL.md
testing-library eslint you-dont-need-lodash-underscore

eslint-fixes

Resolve specific ESLint errors and warnings that appear in this project. Use when fixing lint failures, ESLint reported issues, or autofix conflicts (e.g. no-void, canonical/export-specifier-newline vs prettier, no-shadow trailing underscores, sonarjs/deprecation, you-dont-need-lodash-underscore, testing-library/prefer-screen-queries, testing-library/await-async-events, jest-dom/prefer-*).

⬇0 ❤8 2 days ago · Uploaded Detail →
nandinhos nandinhos
from GitHub Data & AI
  • 📁 references/
  • 📁 scripts/
  • 📄 SKILL.md
domain-model.json delimitados invariantes

ddd-deep-domain

DEVORQ-DDD v1.0.0 — Skill de exploração de domínio para devorq_v3. Guia descoberta do modelo mental ANTES de escrever SPEC.md. Gera domain-model.json com entidades, contextos delimitados e invariantes.

⬇0 ❤8 2 days ago · Uploaded Detail →
XiaoYiWeio XiaoYiWeio
from GitHub Data & AI
  • 📁 .clawhub/
  • 📁 data/
  • 📁 demo/
  • 📄 .cursorrules
  • 📄 .gitignore
  • 📄 _meta.json
security ai automation

deepsafe-scan

Preflight security scanner for AI coding agents — scans deployment config, skills/MCP servers, memory/sessions, and AI agent config files (hooks injection) for secrets, PII, prompt injection, and dangerous patterns. Runs 4 model behavior probes (persuasion, sandbagging, deception, hallucination). Supports LLM-enhanced semantic analysis. Works with OpenClaw, Claude Code, Cursor, and Codex. Use when a user asks for a security audit, health check, or wants to scan their AI agent setup for vulnerabilities.

⬇0 ❤29 1 month ago · Uploaded Detail →
unstoppabledomains unstoppabledomains
from GitHub Docs & Knowledge
  • 📄 SKILL.md
reseller backend generated

enrich-reseller-spec

Use when enriching a bare/generated Reseller API OpenAPI spec with documentation metadata - summaries, descriptions, tag display names, info block, and servers. Triggers on tasks involving reseller openapi yaml enrichment or updating the reseller API spec from a generated source.

⬇0 ❤29 1 month ago · Uploaded Detail →
SerendipityOneInc SerendipityOneInc
from GitHub Research & Analysis
  • 📁 references/
  • 📁 scripts/
  • 📄 README.md
  • 📄 SKILL.md
data analysis research

Amazon Analysis — Full-Spectrum Research & Seller Intelligence

Amazon seller data analysis tool. Features: market research, product selection, competitor analysis, ASIN evaluation, pricing reference, category research. Uses scripts/apiclaw.py to call APIClaw API, requires APICLAW_API_KEY. --- # APIClaw — Amazon Seller Data Analysis > AI-powered Amazon product research. Respond in user's language. ## Files | File | Purpose | |------|---------| | `scripts/apiclaw.py` | **Execute** for all API calls (run `--help` for params) | | `references/reference.md` | Load when you need exact field names or filter details | ## Credential

⬇0 ❤29 1 month 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