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Import Skills

Composite Most Downloads Most Likes Most Comments Newest
loongclaw-ai loongclaw-ai
from GitHub Tools & Productivity
  • 📁 references/
  • 📁 templates/
  • 📄 SKILL.md
automation data browser

agent-browser

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.

⬇0 ❤596 21 days ago · Uploaded Detail →
synonymdev synonymdev
from GitHub Tools & Productivity
  • 📁 references/
  • 📁 scripts/
  • 📄 SKILL.md
channel automation blocktank

lsp

This skill should be used when the user asks to interact with the Blocktank LSP API, "mine blocks", "deposit sats", "pay invoice", "force close a channel", "create a channel order", "open a channel", "estimate fees", "create a CJIT channel", or mentions "blocktank", "regtest", "LSP", or Lightning channel testing workflows during bitkit development.

⬇0 ❤12 just now · Uploaded Detail →
AvdLee AvdLee
from GitHub Development & Coding
  • 📁 references/
  • 📁 scripts/
  • 📄 SKILL.md
package dependencies overhead

spm-build-analysis

Analyze Swift Package Manager dependencies, package plugins, module variants, and CI-oriented build overhead that slow Xcode builds. Use when a developer suspects packages, plugins, or dependency graph shape are hurting clean or incremental build performance, mentions SPM slowness, package resolution time, build plugin overhead, duplicate module builds from configuration drift, circular dependencies between modules, oversized modules needing splitting, or modularization best practices.

⬇0 ❤585 21 days ago · Uploaded Detail →
fireact-dev fireact-dev
from GitHub Tools & Productivity
  • 📁 references/
  • 📄 SKILL.md
frontend fireact auto-detects

fireact-builder

Helps customize and extend Fireact SaaS apps after installation. Auto-detects Fireact projects by checking for @fireact.dev/app in package.json. Invoke when the user wants to add features, pages, custom components, navigation, branding, Cloud Functions, or i18n.

⬇0 ❤544 15 days ago · Uploaded Detail →
kellyvv kellyvv
from GitHub Data & AI
  • 📁 references/
  • 📄 SKILL.md
mlx coordination fine-tuning

swift-mlx-lm

MLX Swift LM - Run LLMs and VLMs on Apple Silicon using MLX. Covers local inference, streaming, wired memory coordination, tool calling, LoRA fine-tuning, embeddings, and model porting.

⬇0 ❤529 14 days ago · Uploaded Detail →
nyaggah nyaggah
from GitHub Tools & Productivity
  • 📁 references/
  • 📄 SKILL.md
bedframe automation extension

bedframe

Work in a Bedframe browser extension project. Use when the repository contains AGENTS.md, src/_config/bedframe.config.ts, src/manifests/*, or the task involves the Bedframe CLI, @bedframe/core, browser manifests, extension pages, Vite config, or release flow.

⬇0 ❤575 21 days ago · Uploaded Detail →
Linfee Linfee
from GitHub Tools & Productivity
  • 📄 SKILL.md
  • 📄 validate_release_post.py
automation agent specify-cn

release-post-verify

在临时目录中用 uvx 或 uv tool run 安装 specify-cn 的 main 分支最新提交，对源码声明支持的 agent 执行 init，并校验版本、中文化、模板完整性、agent 文件落点与 ai-skills 安装结果。用于本地发布后验收。

⬇0 ❤573 20 days ago · Uploaded Detail →
DenisSergeevitch DenisSergeevitch
from GitHub Tools & Productivity
  • 📁 agents/
  • 📁 assets/
  • 📁 references/
  • 📄 .gitignore
  • 📄 AGENTS.md
  • 📄 CLAUDE.md
automation workflow claude

repo-task-proof-loop

Repo-local workflow skill for large coding tasks. Initializes .agent/tasks/TASK_ID artifacts, installs project-scoped Codex and Claude subagents, updates AGENTS.md plus the repo's Claude guide file with the workflow, and runs a spec-freeze → build → evidence → verify → fix loop with fresh-session verification.

⬇0 ❤567 19 days ago · Uploaded Detail →
atilaahmettaner atilaahmettaner
from GitHub Data & AI
  • 📄 SKILL.md
  • 📄 trading.py
intelligence multi-market walk-forward

tradingview-mcp

AI Trading Intelligence — live prices, 30+ technical indicators, backtesting (6 strategies), walk-forward overfitting detection, trade logs, equity curves, Reddit sentiment, news, and multi-market screener. Supports stocks, crypto, ETFs, indices, Turkish (BIST), and Egyptian (EGX) markets.

⬇0 ❤570 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