Daily Featured Skills Count
4,007 4,057 4,100 4,138 4,176 4,215 4,250
04/11 04/12 04/13 04/14 04/15 04/16 04/17
♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
zhimaAi zhimaAi
from GitHub Content & Multimedia
  • 📄 SKILL.md
key frontend 检查其他语言翻译

i18n-check

检查并补充前端和后端的i18n翻译文件。以中文（zh-CN）为基准，检查其他语言翻译文件是否缺少key，并补充缺失的key和对应的翻译值。对于日语(ja-JP)、韩语(ko-KR)、繁体中文(zh-TW)，使用与非CJK语言对比的方式检测未翻译内容。

⬇0 ❤261 17 days ago · Uploaded Detail →
tobihagemann tobihagemann
from GitHub Development & Coding
  • 📄 SKILL.md
apply findings accepted

apply-findings

Apply findings by making the suggested code changes. Applies accepted verdicts, escalates ambiguous findings to the user, and offers to note skipped genuine improvements. Use when the user asks to \"apply findings\", \"apply fixes\", \"apply suggestions\", \"apply accepted findings\", \"fix the findings\", or \"apply the review results\".

⬇0 ❤261 18 days ago · Uploaded Detail →
haoyu-haoyu haoyu-haoyu
from GitHub Development & Coding
  • 📁 scripts/
  • 📄 LICENSE
  • 📄 README.md
  • 📄 SKILL.md
code data implementation

collaborating-with-codex

Delegates coding tasks to Codex CLI for prototyping, debugging, and code review. Use when needing algorithm implementation, bug analysis, or code quality feedback. Supports multi-turn sessions via SESSION_ID.

⬇0 ❤257 17 days ago · Uploaded Detail →
gavdalf gavdalf
from GitHub Data & AI
  • 📁 config/
  • 📁 docs/
  • 📁 dream-cycle/
  • 📄 .gitignore
  • 📄 CHANGELOG.md
  • 📄 CODE_OF_CONDUCT.md
database remember backend

total-recall

The only memory skill that watches on its own. No database. No vectors. No manual saves. Just an LLM observer that compresses your conversations into prioritised notes, consolidates when they grow, and recovers anything missed. Five layers of redundancy, zero maintenance. ~$0.00/month (using free-tier models). While other memory skills ask you to remember to remember, this one just pays attention.

⬇0 ❤248 15 days ago · Uploaded Detail →
countbot-ai countbot-ai
from GitHub Tools & Productivity
  • 📁 references/
  • 📁 templates/
  • 📄 SKILL.md
  • 📄 安装与配置手册.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 ❤251 17 days ago · Uploaded Detail →
Affitor Affitor
from GitHub Development & Coding
  • 📁 .claude/
  • 📁 .claude-plugin/
  • 📁 .github/
  • 📄 .cursorrules
  • 📄 .gitignore
  • 📄 API.md
data affiliate programs

affiliate-check

Live affiliate program data from list.affitor.com. Search programs, compare commissions, check cookie days, find top performers. Use when researching affiliate programs, comparing options, or checking program details. Persistent daemon with cache — first call starts server (~2s), subsequent calls ~100ms.

⬇0 ❤235 13 days ago · Uploaded Detail →
ScottRBK ScottRBK
from GitHub Docs & Knowledge
  • 📄 SKILL.md
when knowledge memories

curating-memories

Guidance for maintaining memory quality through curation. Covers updating outdated memories, marking obsolete content, and linking related knowledge. Use when memories need modification, when new information supersedes old, or when building knowledge graph connections.

⬇0 ❤246 15 days ago · Uploaded Detail →
gaoyangz77 gaoyangz77
from GitHub Data & AI
  • 📄 SKILL.md
vendor openclaw commit

update-vendor

Update vendor/openclaw to a specific commit, replay EasyClaw's vendor patch stack with AI review, rebuild, test, and decide whether each patch still belongs. Use when asked to upgrade, update, or pin vendor/openclaw to a new version or commit hash.

⬇0 ❤252 18 days ago · Uploaded Detail →
firecrawl firecrawl
from GitHub Development & Coding
  • 📄 SKILL.md
data structured json

firecrawl-agent

AI-powered autonomous data extraction that navigates complex sites and returns structured JSON. Use this skill when the user wants structured data from websites, needs to extract pricing tiers, product listings, directory entries, or any data as JSON with a schema. Triggers on "extract structured data", "get all the products", "pull pricing info", "extract as JSON", or when the user provides a JSON schema for website data. More powerful than simple scraping for multi-page structured extraction.

⬇0 ❤242 15 days ago · Uploaded Detail →
vargHQ vargHQ
from GitHub Content & Multimedia
  • 📁 scripts/
  • 📄 remotion-video.md
  • 📄 round-video-character.md
  • 📄 SKILL.md
character automation content

talking-character-pipeline

complete workflow to create talking character videos with lipsync and captions. use when creating ai character videos, talking avatars, narrated content, or social media character content with voiceover.

⬇0 ❤254 18 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