Daily Featured Skills Count
4,727 4,753 4,784 4,818 4,870 4,909 4,921
04/29 04/30 05/01 05/02 05/03 05/04 05/05
♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

vinodhini-sd vinodhini-sd
from GitHub Development & Coding
  • 📄 README.md
  • 📄 SKILL.md

dbt-model-generator

Automatically generate dbt dimensional models from raw Snowflake tables. Use when: user wants to generate dbt models, shift left data modeling, automate dimensional modeling, create facts and dimensions from raw data, build a star schema from raw tables, or auto-generate dbt code. Triggers: generate dbt models, shift left, dimensional model, auto model, star schema from raw, dbt from iceberg, dbt from raw, one big table, OBT, wide table.

0 13 1 month ago · Uploaded Detail →
workos workos
from GitHub Development & Coding
  • 📁 references/
  • 📄 SKILL.md

workos-widgets

Build, integrate, or migrate WorkOS Widgets in modern web apps. Use this skill when implementing User Management, User Profile, Admin Portal SSO Connection, or Admin Portal Domain Verification widgets across Next.js, React Router, TanStack Router, TanStack Start, Vite, SvelteKit, Ruby, Python, Go, PHP, or Java stacks. Detect the active stack, auth/token strategy, data-layer style, and UI conventions; then implement widget integration with correct access-token flow and API calls based on the bundled Widgets OpenAPI spec.

0 13 1 month ago · Uploaded Detail →
datahub-project datahub-project
from GitHub Tools & Productivity
  • 📁 evaluations/
  • 📁 references/
  • 📁 templates/
  • 📄 README.md
  • 📄 SKILL.md
  • 📄 standards

datahub-connector-planning

Plans new DataHub connectors by classifying the source system, researching it using a dedicated agent or inline research, and generating a _PLANNING.md blueprint with entity mapping and architecture decisions. Use when building a new connector, researching a source system for DataHub, or designing connector architecture. Triggers on: "plan a connector", "new connector for X", "research X for DataHub", "design connector for X", "create planning doc", or any request to plan/research/design a DataHub ingestion source.

0 13 1 month ago · Uploaded Detail →
flowith-ai flowith-ai
from GitHub Content & Multimedia
  • 📁 references/
  • 📁 scripts/
  • 📄 LICENSE
  • 📄 README.md
  • 📄 SKILL.md

canvas-cowork

Pilot a spatial canvas from the CLI — create canvases, generate images/text/video/agent responses, read results, recall past work, and manage nodes. The canvas is a shared workspace visible in the browser; this skill gives you a live cursor on it. Use this skill whenever the user wants to interact with the canvas platform, asks to generate images or videos on canvas, mentions "canvas", "Neo", "Agent Neo", wants to draw/create/generate visual content on the spatial canvas, references past canvas work, or says anything that implies operating on the canvas. Also triggers on /canvas-cowork. --- # Canvas Cowork ## Who You Are You are a collaborator on a shared spatial canvas. Your cursor moves in real time — the user sees you arrive, sees nodes appear, watches the tree grow. You are present, not remote.

0 13 1 month ago · Uploaded Detail →
scdenney scdenney
from GitHub Development & Coding
  • 📄 SKILL.md

conjoint-cleaning

Specialized logic for cleaning and reshaping choice-based conjoint data from Qualtrics exports into analysis-ready long format. Use when (1) preparing conjoint survey data for analysis, (2) reshaping wide Qualtrics exports to long format, (3) mapping conjoint choice and rating variables to profile-level outcomes, (4) translating attribute labels across languages, (5) diagnosing pilot contamination or data quality issues in conjoint data, or (6) setting AMCE reference categories. Covers Qualtrics column conventions, existing R packages, wide-to-long reshaping, choice variable encoding, attribute-level translation, data validation, and analysis-ready output.

0 13 1 month ago · Uploaded Detail →
heikki-laitala heikki-laitala
from GitHub Development & Coding
  • 📄 SKILL.hook.md
  • 📄 SKILL.md
  • 📄 SKILL.skill.md

pruner

Generate synthetic code context for LLM coding tasks. Automatically use this before making code changes, fixing bugs, refactoring, or answering questions about the codebase. Provides execution paths, relevant files, symbols, tests, and code snippets.

0 13 1 month ago · Uploaded Detail →
MystenLabs MystenLabs
from GitHub Data & AI
  • 📁 .changeset/
  • 📁 .github/
  • 📁 apps/
  • 📄 .dockerignore
  • 📄 .gitignore
  • 📄 docs.Dockerfile

memwal

Privacy-first AI memory SDK for decentralized storage on Sui blockchain with Walrus.

0 13 1 month ago · Uploaded Detail →
NAMYUNWOO NAMYUNWOO
from GitHub Docs & Knowledge
  • 📄 SKILL.md

vault-search

Search the Claude knowledge graph vault for past Q&A sessions, concepts, and developer knowledge. Use when you need to find information from previous conversations, recall how something was done before, or look up stored technical knowledge. Supports Korean and English queries.

0 13 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