Daily Featured Skills Count
5,070 5,117 5,165 5,205 5,241 5,288 5,300
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♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

akiojin akiojin
from GitHub Data & AI
  • 📁 scripts/
  • 📄 LICENSE.txt
  • 📄 SKILL.md

gh-fix-ci

Inspect GitHub PR for CI failures, merge conflicts, update-branch requirements, reviewer comments, change requests, and unresolved review threads. Create fix plans and implement after user approval. Reply to ALL reviewer comments with action taken or reason for not addressing, then resolve threads. Notify reviewers after fixes.

0 36 1 month ago · Uploaded Detail →
Blave-TW Blave-TW
from GitHub Data & AI
  • 📁 backtesting/
  • 📁 examples/
  • 📁 references/
  • 📄 .gitignore
  • 📄 CLAUDE.md
  • 📄 clawhub.json

blave-quant

Use for: (1) Blave market alpha data — 籌碼集中度 Holder Concentration, 多空力道 Taker Intensity, 巨鯨警報 Whale Hunter, 擠壓動能 Squeeze Momentum, 市場方向 Market Direction, 資金稀缺 Capital Shortage, 板塊輪動 Sector Rotation, Blave頂尖交易員 Top Trader Exposure, kline, alpha table, 市場情緒 Market Sentiment, screener saved conditions, Hyperliquid top trader tracking (leaderboard, positions, history, performance, bucket stats); (2) BitMart futures/contract trading — opening/closing positions, leverage, plan orders, TP/SL, trailing stops, account management, sub-account transfers; (3) BitMart spot trading — buy/sell, limit/market orders, account balance, order history, sub-account transfers; (4) OKX trading — spot and perpetual swap, order placement, positions, balance; (5) Bybit trading — spot and derivatives/perpetual swap, order placement, positions, balance, TP/SL; (6) BingX trading — spot and perpetual swap, order placement, position management, leverage, TWAP orders, OCO orders; (7) Bitget trading — spot and futures, order placement, position management, leverage, plan orders; (8) Binance trading — spot and USDS-M futures, order placement, positions, leverage, algo orders, OCO/OTO/OTOCO; (9) Bitfinex trading & funding — spot, margin, funding/lending (submit offers, loans, credits), wallet transfers.

0 37 1 month ago · Uploaded Detail →
jdevalk jdevalk
from GitHub Tools & Productivity
  • 📄 AGENTS.md
  • 📄 README.md
  • 📄 SKILL.md

astro-seo

Audits and improves SEO for Astro sites. Use when the user asks to audit, set up, or improve SEO on an Astro site, or mentions head metadata, structured data, JSON-LD, sitemaps, IndexNow, Open Graph images, schema endpoints, NLWeb, hreflang, or search engine indexing in an Astro project. Produces drop-in code routed through `@jdevalk/astro-seo-graph` and chains into `metadata-check` for generated SEO strings. --- # Astro SEO Audits and improves the SEO setup of an Astro site against the full stack described in [Astro SEO: the definitive guide](https://joost.blog/astro-seo-complete-guide/). The skill covers nine areas — technical foundation, structured data, content, site structure, performance, sitemaps and indexing, agent discovery, redirects, and analytics — and produces drop-in code for anything missing or weak. The opinionated spine of this skill is [`@jdevalk/astro-seo-graph`](https://github.com/jdevalk/seo-graph). Most of the fixes route through it. If the project doesn't use it yet, installing it is the first recommendation. **Code recipes live in `AGENTS.md`** — read it when you need to implement a specific fix. This file has the workflow and audit checklist. ## Workflow 1. **Detect the project** — confirm this is an Astro site and understand its shape. 2. **Audit** — score nine categories and produce actionable findings. 3. **Improve** — generate or modify files to close the gaps. Recipes are in `AGENTS.md`. 4. **Metadata pass** — invoke `metadata-check` on every short string the skill generated (titles, descriptions, schema `description` fields, FAQ answers, frontmatter excerpts). 5. **Verify** — run the build, check validations pass, remind the user about non-file tasks (Search Console, Bing Webmaster Tools, IndexNow key verification). --- ## Phase 0: Detect the project

0 37 1 month ago · Uploaded Detail →
midspiral midspiral
from GitHub Data & AI
  • 📄 SKILL.md

lemmafit-dafny

Dafny code patterns and reference for lemmafit apps. Use when writing or editing .dfy files, defining state machines (Model, Action, Inv, Init, Step), or when Dafny verification fails and you need to fix errors. Covers the AppCore module pattern and common mistakes.

0 37 1 month ago · Uploaded Detail →
amplitude amplitude
from GitHub Development & Coding
  • 📄 SKILL.md

amplitude-setup

Set up Amplitude analytics in this codebase using the Amplitude Wizard agent contract. Use whenever a user asks to install Amplitude, instrument analytics events, configure Amplitude SDK, connect this app to Amplitude, or wire up tracking with @amplitude/wizard.

0 27 9 days ago · Uploaded Detail →
mikemai2awesome mikemai2awesome
from GitHub Development & Coding
  • 📁 evals/
  • 📁 references/
  • 📄 SKILL.md

brightcove-player

Style and fully customize the Brightcove video player UI — control bar, play button, progress bar, volume, captions, playlists, responsive sizing, and skins. Use this skill whenever the user mentions Brightcove, video-js player styling, customizing a Brightcove player, changing player colors/layout/controls, embedding a Brightcove player, making it responsive, player skins or themes, Brightcove Studio styling, or working with Brightcove playlists or captions. Also use it when the user is working with `.video-js`, `vjs-*` CSS classes, or `bc()` / `videojs.getPlayer()` / `videojs()` JavaScript APIs.

0 10 2 days ago · Uploaded Detail →
pasky pasky
from GitHub Data & AI
  • 📄 SKILL.md

chronicle-read

Reconstruct high-level past events (decisions, commitments, timelines) from /chronicle chapters. Use for longer-term recall beyond what <context_summary> paragraphs cover — arc of past discussions, decisions made, what happened last week(s).

0 37 1 month ago · Uploaded Detail →
OSideMedia OSideMedia
from GitHub Content & Multimedia
  • 📁 .claude/
  • 📁 db/
  • 📁 docs/
  • 📄 .gitattributes
  • 📄 .gitignore
  • 📄 CHANGELOG.md

higgsfield

Use this skill whenever the user asks anything about Higgsfield AI — writing or refining video/image prompts, choosing a model (Kling, Sora 2, Veo, Wan, Seedance, Minimax Hailuo, DoP, Soul, Nano Banana, Seedream, Flux, GPT Image, etc.), camera controls, named motion presets, Soul ID character consistency, Cinema Studio 2.5/3.0, Vibe Motion, troubleshooting failed generations, credit optimization, Photodump, or any mention of higgsfield.ai. Also trigger on generic "write me a video prompt" or "make me an AI video prompt" requests when Higgsfield is the user's configured platform.

0 37 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