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Import Skills

DevvGwardo DevvGwardo
from GitHub Content & Multimedia
  • 📁 docs/
  • 📁 references/
  • 📁 scripts/
  • 📄 .gitignore
  • 📄 _meta.json
  • 📄 CHANGELOG.md

grok-imagine-video

xAI Grok Imagine API integration for image generation, text-to-video, image-to-video, and editing via natural language. Use when you need to generate images or videos from text prompts, edit existing images, animate static images into videos, or edit existing videos with natural language instructions. Supports conversational generation across messaging platforms with async polling, progress updates, and automatic delivery.

0 11 1 month ago · Uploaded Detail →
alexadark alexadark
from GitHub Content & Multimedia
  • 📁 references/
  • 📁 scripts/
  • 📁 templates/
  • 📄 .env.example
  • 📄 fetch.sh
  • 📄 README.md

media-extract

Universal media extraction and analysis. Handles YouTube videos (visual + transcript), web articles, local files (video, audio, PDF, text), pasted content, and folders of videos. Extracts structured summaries, visual analysis via Gemini, golden nuggets, workflows, commands, code examples, chapters, quotes, and breakdowns. Downloads YouTube videos. Cleans meeting transcripts (Fathom, Otter, Zoom) by removing timestamps, filler words, small talk. Use when user shares a YouTube URL, article URL, pastes a transcript, points to local media, asks to analyze/download any content, or says "clean this transcript", "nettoyer", "remove timestamps".

0 11 1 month ago · Uploaded Detail →
VirtusLab VirtusLab
from GitHub Development & Coding
  • 📁 .claude-plugin/
  • 📄 100-resource-management.md
  • 📄 110-background-processes.md
  • 📄 120-type-safe-configuration.md

direct-style-scala

This skills covers direct-style Scala, Ox structured concurrency, synchronous Tapir. Auto-load when writing Scala code, applications that use Ox, direct-style, or synchronous Tapir interpreters.

0 11 1 month ago · Uploaded Detail →
dadwadw233 dadwadw233
from GitHub Data & AI
  • 📁 agents/
  • 📁 references/
  • 📁 repo-template/
  • 📄 SKILL.md

vibe-portrait

Developer personality portrait generator. Supports subcommands: (1) 'generate my portrait' / 'analyze my personality' — full analysis; (2) 'update my portrait' — incremental update since last analysis; (3) 'install persona from <url>' — install community persona from GitHub; (4) 'list personas' / '我安装了哪些人格' — show installed; (5) 'remove persona <id>' — uninstall; (6) 'think like <name>' / '像<name>一样思考' — activate a persona. Also triggers on 'vibe-portrait', 'what kind of developer am I'.

0 11 1 month ago · Uploaded Detail →
synapticore-io synapticore-io
from GitHub Tools & Productivity
  • 📁 examples/
  • 📁 references/
  • 📄 SKILL.md

marimo

Interactive reactive Python notebook development with marimo - best practices, UI components, MCP integration, and deployment workflows

0 11 1 month ago · Uploaded Detail →
froleaf froleaf
from GitHub Docs & Knowledge
  • 📄 SKILL.md

add-material

创建或更新 Material 实体——标准化的材料录入流程,确保信息补全、边关系正确、可视化同步。由 knowledge-process、bootstrap、ito 待命模式等场景调用。

0 11 1 month ago · Uploaded Detail →
quiknode-labs quiknode-labs
from GitHub Blockchain & Web3
  • 📁 references/
  • 📄 SKILL.md

quicknode-skill

Quicknode blockchain infrastructure including RPC endpoints (80+ chains), Streams (real-time data), Webhooks, IPFS storage, Marketplace Add-ons (Token API, NFT API, DeFi tools), Solana DAS API (Digital Asset Standard), Key-Value Store, gRPC streaming (Yellowstone for Solana, Hypercore for Hyperliquid), SQL Explorer (direct SQL access to indexed blockchain data), and x402 pay-per-request RPC. Use when setting up blockchain infrastructure, configuring real-time data pipelines, processing blockchain events, storing data on IPFS, using Quicknode-specific APIs, querying Solana NFTs/tokens/compressed assets, persisting state with Key-Value Store, querying blockchain data with SQL, analyzing trading data, or building low-latency gRPC streams. Triggers on mentions of Quicknode, Streams, qn_ methods, IPFS pinning, Quicknode add-ons, DAS API, Digital Asset Standard, compressed NFT, cNFT, getAssetsByOwner, searchAssets, Key-Value Store, KV store, qnLib, Yellowstone, gRPC, Geyser, Hypercore, Hyperliquid, HYPE, SQL Explorer, SQL query, blockchain data, trading data, indexed data, evm, rpc, ethereum, blockchain, solana, or x402.

0 11 1 month ago · Uploaded Detail →
vaayne vaayne
from GitHub Content & Multimedia
  • 📄 SKILL.md

release

Release workflow for anna Go CLI project. Create releases with semantic versioned tags, update changelog, and trigger automated CI/CD builds. Use when the user asks to "release", "create a release", "tag a version", "update changelog", "prepare release", "cut a release", or discusses versioning and release artifacts. --- # Release ## Tag Format Use semantic versioning with `v` prefix: `v0.1.0`, `v1.0.0`, `v1.2.3-rc.1`. GoReleaser auto-detects pre-release suffixes (`-rc.1`, `-beta.1`). ## Release Flow 1. Update `docs/content/docs/changelog.mdx` (see below) 2. Commit: `📝 docs: Update CHANGELOG for vX.Y.Z` 3. Tag: `git tag vX.Y.Z` 4. Push: `git push origin main --tags` 5. CI triggers `.github/workflows/release.yml` → GoReleaser binaries + Docker images ## Update Changelog The changelog lives at `docs/content/docs/changelog.mdx` (rendered on the docs site). It has YAML frontmatter — preserve it when editing. Only modify content below the `---` block.

0 11 1 month ago · Uploaded Detail →
jascal jascal
from GitHub Development & Coding
  • 📄 SKILL.md

orca-actions

Generate action scaffold code for an Orca machine in TypeScript, Python, or Go. Use when the user has a verified machine and wants implementation stubs for the action functions. When the machine file also contains decision tables, compiled evaluator functions and wired action stubs are included automatically.

0 11 1 month ago · Uploaded Detail →
raphaelbarbosaqwerty raphaelbarbosaqwerty
from GitHub Development & Coding
  • 📄 SKILL.md

elixir-expert

Expert in Elixir, Phoenix Framework, and OTP. Specializes in building concurrent, fault-tolerant, and real-time applications using the BEAM. Use when building Elixir applications, working with Phoenix, implementing GenServers, or designing distributed systems on the BEAM.

0 11 1 month ago · Uploaded Detail →
Lifecycle-Innovations-Limited Lifecycle-Innovations-Limited
from GitHub Data & AI
  • 📄 SKILL.md

ops-comms

Send and read messages across all channels. Routes based on arguments — whatsapp, email, slack, telegram, discord, notion, or natural language like "send [msg] to [contact]". WhatsApp via mcp__whatsapp__* (Baileys bridge).

0 7 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