Daily Featured Skills Count
5,034 5,070 5,117 5,165 5,205 5,241 5,277
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♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
Hao0321 Hao0321
from GitHub Tools & Productivity
  • 📁 references/
  • 📄 content_plan.example.md
  • 📄 SKILL.md
  • 📄 style_profile.example.md
instagram facebook 分析我的貼文風格

social-post

學使用者的 Facebook 個人貼文語氣，依 14 天內容策略日曆，自動產出並發佈到 FB / Instagram / Threads / X。使用時機：使用者說「發文」、「幫我寫一篇貼文」、「用我的風格發」、「今天發一篇」、「PO 一下」、「學我的語氣」、「分析我的貼文風格」、「重新規劃內容」、「排貼文」時一律觸發；即使只說「發一篇」、「PO 文」、「PO 個廢文」也要觸發。

⬇0 ❤14 21 days ago · Uploaded Detail →
tgmeng-com tgmeng-com
from GitHub Tools & Productivity
  • 📁 agents/
  • 📁 references/
  • 📄 CHANGELOG.md
  • 📄 README.md
  • 📄 skill-version.json
tgmeng data automation

tgmeng-news-skill

Search Tgmeng in-site news, hotspot data, and Tgmeng Index data through the Tgmeng Skill APIs. Use when an agent needs to query current, today, or historical Tgmeng news/hotspot records, or AI-generated Tgmeng Index lists, with a user-provided license and explicit user intent.

⬇0 ❤7 4 days ago · Uploaded Detail →
TasiTech TasiTech
from GitHub Tools & Productivity
  • 📄 SKILL.md
search automation evidence

deep-search

Deep web search workflow using browser tools and multiple search engines such as Bing, Google, Baidu, Sogou/WeChat, 360, Toutiao, DuckDuckGo, Brave, Quark, or other available engines. Use when the user asks for deep_search, deep search, multi-engine research, source discovery, current web evidence, or when Codex needs to search, collect result links, de-duplicate sources, open candidate pages, and gather browser_snapshot/browser_extract evidence from each source.

⬇0 ❤7 4 days ago · Uploaded Detail →
DazhuangJammy DazhuangJammy
from GitHub Tools & Productivity
  • 📁 agents/
  • 📁 assets/
  • 📁 eval-viewer/
  • 📄 .gitignore
  • 📄 CHANGELOG.md
  • 📄 config.yaml
automation 做轻优化或完整改 把一段工作流程沉

dazhuangskill-creator

用来创建、修改、重构、评估、打包和优化其他 skill。用户提到从零做 skill、把一段工作流程沉淀成 skill、改现有 skill、把别人的 skill 按当前这套架构重写、做轻优化或完整改造、设计评测、验证 skill 是否真的更好、优化触发描述，或打包交付 skill 时，都应使用这个 skill。

⬇0 ❤15 1 month ago · Uploaded Detail →
Ricardo-Ping Ricardo-Ping
from GitHub Tools & Productivity
  • 📁 .github/
  • 📁 agents/
  • 📁 config/
  • 📄 .gitignore
  • 📄 README.md
  • 📄 SKILL.md
automation arxiv markdown

agent-daily-paper

支持用户按一个或多个研究领域订阅 arXiv 最新论文，按重要性排序并以中英双语卡片形式推送（英文标题/中文标题/英文摘要/中文摘要/arXiv 链接）。支持每领域独立数量上限（5-20）、关键词高亮、NEW/UPDATED 版本标识、Markdown 存档，以及定时推送与即时推送双路径。首次使用时先完成订阅配置；领域可由 Agent 画像 JSON 自动补全英文名、关键词与会议列表。

⬇0 ❤15 1 month ago · Uploaded Detail →
oleg-koval oleg-koval
from GitHub Development & Coding
  • 📁 .github/
  • 📁 assets/
  • 📁 docs/
  • 📄 .gitignore
  • 📄 .prettierignore
  • 📄 .prettierrc.yml
http handling patterns

trembita-http-client

Build resilient, type-safe HTTP integrations with trembita using Result-based error handling, retries, and circuit breaker patterns. --- # Trembita Skill Use this repository as a practical reference for agents implementing HTTP clients with `trembita`. ## When to Use - Build TypeScript integrations for third-party REST APIs. - Add robust error handling without exception-driven control flow. - Implement retries, circuit breakers, and timeouts with minimal dependencies. - Write testable API code by injecting `fetchImpl`. ## Core Patterns 1. Initialize once with `createTrembita()` and handle init `Result`. 2. Use `client.request()` for parsed JSON body responses. 3. Use `client.client()` when you need HTTP metadata (`statusCode`, `body`). 4. Narrow failures by checking `result.error.kind`. 5. Add resilience via `createRetryingFetch` and `circuitBreaker` config. ## Canonical References - `README.md` - quick overview and install. - `QUICK_START.md` - shortest path to first success. - `LEARNING_GUIDE.md` - concepts and progressive examples. - `EXAMPLES.md` - production-style patterns. - `ARCHITECTURE.md` - request/error flow diagrams. ## Agent Guardrails - Prefer `Result` handling over `try/catch` for request outcomes. - Keep endpoint configuration explicit and validated. - Prefer `expectedCodes` to document acceptable HTTP outcomes. - Use `client.client()` for 404/202 branching by status code. - Inject `fetchImpl` in tests; avoid global fetch patching.

⬇0 ❤13 16 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