Daily Featured Skills Count
4,689 4,727 4,753 4,784 4,818 4,870 4,879
04/28 04/29 04/30 05/01 05/02 05/03 05/04
♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
onebrain-ai onebrain-ai
from GitHub Content & Multimedia
  • 📄 SKILL.md
url capture not

bookmark

Quick URL bookmark capture : paste a link, AI generates name and description, suggests category, saves to Bookmarks.md in awesome-list format. Invoke when user wants to save a URL for later — bare URL with no other context defaults to this. Do NOT use for: deeply processing or summarizing the URL content now (use summarize), saving a note that is not a URL (use capture), or researching a topic from scratch (use research).

⬇0 ❤6 3 days ago · Uploaded Detail →
avhrst avhrst
from GitHub Testing & Security
  • 📁 app-patterns/
  • 📁 evals/
  • 📁 global-patterns/
  • 📄 SKILL.md
components validations processes

apex

Export/patch/import Oracle APEX components via SQLcl CLI (Bash). Covers pages, regions, items, buttons, processes, DAs, validations, LOVs, auth schemes, templates, IR, IG, charts, maps, cards, and all shared components.

⬇0 ❤16 1 month ago · Uploaded Detail →
refractionPOINT refractionPOINT
from GitHub Ops & Delivery
  • 📄 SKILL.md
adapter data docs

adapter-assistant

Complete adapter lifecycle assistant for LimaCharlie. Supports External Adapters (cloud-managed), Cloud Sensors (SaaS/cloud integrations), and On-prem USP adapters. Dynamically researches adapter types from local docs and GitHub usp-adapters repo. Creates, validates, deploys, and troubleshoots adapter configurations. Handles parsing rules (Grok, regex), field mappings, credential setup, and multi-adapter configs. Use when setting up new data sources (Okta, S3, Azure Event Hub, syslog, webhook, etc.), troubleshooting ingestion issues, or managing adapter deployments.

⬇0 ❤16 1 month ago · Uploaded Detail →
AgentGuardHQ AgentGuardHQ
from GitHub Tools & Productivity
  • 📄 SKILL.md
create generate components

21st-dev-magic

Generate UI components using 21st.dev Magic MCP. Actions: create component, generate UI, build interface, design element, make button, create card, build navbar, generate form, create modal, design layout, create hero section, build sidebar, generate table, create dashboard widget. Triggers on requests for polished UI components when 21st.dev Magic MCP tools are available.

⬇0 ❤16 1 month ago · Uploaded Detail →
SJTU-IPADS SJTU-IPADS
from GitHub Data & AI
  • 📄 SKILL.md
run aot-compile proposals

skvm-general

Drive the skvm CLI on behalf of a user to profile models, AOT-compile skills, run skill-assisted tasks, run benchmarks, and manage compiled proposals. Trigger when the user asks to "profile", "aot-compile", "bench", "run a skill", or asks about skvm proposals.

⬇0 ❤14 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