Daily Featured Skills Count
4,176 4,215 4,256 4,301 4,343 4,380 4,387
04/15 04/16 04/17 04/18 04/19 04/20 04/21
♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
kostja94 kostja94
from GitHub Data & AI
  • 📄 SKILL.md
data search report

google-search-console

When the user wants to analyze Google Search Console data, use the GSC API, or interpret search performance. Also use when the user mentions "GSC," "Search Console," "indexing report," "Core Web Vitals," "Enhancements," "Insights report," "search performance," "search queries," "search performance report," "URL inspection," "impressions," "CTR," "average position," "index coverage," "GSC data analysis," "Search Console API," or "searchanalytics.query." When the user wants to rewrite title tags (not only report on them), use title-tag. For meta description rewrites, use meta-description.

⬇0 ❤284 18 days ago · Uploaded Detail →
win4r win4r
from GitHub Data & AI
  • 📁 references/
  • 📄 README.md
  • 📄 README_CN.md
  • 📄 SKILL.md
openclaw security gateway

openclaw

Comprehensive guide for installing, configuring, operating, and troubleshooting OpenClaw — a self-hosted, multi-channel AI agent gateway. Use when the user asks about OpenClaw setup, configuration, channel management (WhatsApp/Telegram/Discord/Slack/iMessage/etc.), model provider setup, Gateway operations, multi-agent routing, security hardening, troubleshooting, or any maintenance task related to their local OpenClaw installation. Also use when encountering errors from `openclaw` CLI commands or the Gateway daemon.

⬇0 ❤287 18 days ago · Uploaded Detail →
boshu2 boshu2
from GitHub Data & AI
  • 📄 SKILL.md
automation hook-capable bookkeeping

using-agentops

Meta skill explaining the AgentOps operating model. Hook-capable runtimes inject it at session start; Codex uses it through the explicit startup fallback. Covers bookkeeping, validation, primitives, flows, the RPI lifecycle, and the skill catalog.

⬇0 ❤285 22 days ago · Uploaded Detail →
iBigQiang iBigQiang
from GitHub Data & AI
  • 📄 SKILL.md
content data actionable

analyzer

Content Analyzer — any content (URL, text, transcript) into structured analysis report with actionable insights. Use when user asks to analyze, summarize, or extract key takeaways from content.

⬇0 ❤274 19 days ago · Uploaded Detail →
ZimoLiao ZimoLiao
from GitHub Data & AI
  • 📄 SKILL.md
arxiv preprints directly

arxiv

Use when the user wants to browse arXiv preprints, search arXiv directly, fetch a PDF by arXiv ID or URL, or send a preprint straight into the ingest pipeline.

⬇0 ❤265 21 days ago · Uploaded Detail →
agenmod agenmod
from GitHub Data & AI
  • 📁 collectors/
  • 📁 distill-protocol-skill/
  • 📁 distill-shield-skill/
  • 📄 .gitignore
  • 📄 FOR_AI.md
  • 📄 LICENSE
中蒸馏任何人的数 文档等多平台数据 通用数字永生框架

immortal-skill

通用数字永生框架：从聊天记录、社交媒体、文档等多平台数据中蒸馏任何人的数字分身——支持自己、同事、导师、亲人、伴侣/前任、朋友、公众人物 7 种角色模板，接入国内外 12+ 数据平台。

⬇0 ❤249 15 days ago · Uploaded Detail →
brevdev brevdev
from GitHub Data & AI
  • 📁 examples/
  • 📁 prompts/
  • 📁 reference/
  • 📄 INSTALLATION.md
  • 📄 SKILL.md
cloud instances cpu

brev-cli

Manage GPU and CPU cloud instances with the Brev CLI for ML workloads and general compute. Use when users want to create instances, search for GPUs or CPUs, SSH into instances, open editors, copy files, port forward, manage organizations, or work with cloud compute. Supports fine-tuning, reinforcement learning, training, inference, batch processing, and other ML/AI workloads. Trigger keywords - brev, gpu, cpu, instance, create instance, ssh, vram, vcpu, A100, H100, cloud gpu, cloud cpu, remote machine, finetune, fine-tune, RL, RLHF, training, inference, deploy model, serve model, batch job.

⬇0 ❤249 16 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 19 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 22 days ago · Uploaded Detail →
ombulabs ombulabs
from GitHub Data & AI
  • 📁 detection-scripts/
  • 📁 examples/
  • 📁 references/
  • 📄 CHANGELOG.md
  • 📄 SKILL.md
rails applications changes

rails-upgrade

Analyzes Rails applications and generates comprehensive upgrade reports with breaking changes, deprecations, and step-by-step migration guides for Rails 2.3 through 8.1. Use when upgrading Rails applications, planning multi-hop upgrades, or querying version-specific changes. Based on FastRuby.io methodology and "The Complete Guide to Upgrade Rails" ebook.

⬇0 ❤237 19 days ago · Uploaded Detail →
Kanevry Kanevry
from GitHub Data & AI
  • 📄 deep-template.md
  • 📄 fast-template.md
  • 📄 intensity-heuristic.md
bootstrap ai session-orchestrator

bootstrap

Scaffolds the minimum repository structure required by session-orchestrator. Invoked automatically by the Bootstrap Gate when CLAUDE.md, Session Config, or bootstrap.lock is missing. Also available as /bootstrap for manual invocation.

⬇0 ❤75 1 day 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