Daily Featured Skills Count
4,524 4,564 4,605 4,651 4,689 4,727 4,738
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♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

gentritbiba gentritbiba
from GitHub Development & Coding
  • 📄 SKILL.md

cogpit-sessions

Create and manage Claude Code sessions via the Cogpit (agent-window) HTTP API running on localhost:19384. Use when an agent needs to spawn a new Claude Code session in a project directory, send messages to existing sessions, stop sessions, list projects, or query active sessions. Triggers on requests like "start a session", "run claude in project X", "send a message to session Y", "list cogpit projects", or any programmatic interaction with the agent-window server.

0 18 15 days ago · Uploaded Detail →
Women-Coding-Community Women-Coding-Community
from GitHub Testing & Security
  • 📄 SKILL.md

commit

Safely commit changes. Reviews staged/modified files for sensitive data, writes a commit message with body. Never adds co-author lines.

0 20 26 days ago · Uploaded Detail →
openscientist-io openscientist-io
from GitHub Databases & Storage
  • 📁 references/
  • 📄 SKILL.md

jgi-lakehouse

Skills for querying the JGI Dremio Lakehouse containing GOLD and IMG genomics databases. Use this when users want to explore JGI databases, query GOLD (Genomes OnLine Database), IMG (Integrated Microbial Genomes), or run SQL queries against JGI genomics data. Triggers on mentions of JGI, GOLD database, IMG database, genome metadata, or JGI lakehouse queries.

0 20 27 days ago · Uploaded Detail →
twwch twwch
from GitHub Docs & Knowledge
  • 📁 instructions/
  • 📁 references/
  • 📄 SKILL.md

cinematic-prompt

电影级全流程提示词生成。用户给出故事主题,一键生成完整 markdown 文件,包含:角色设定提示词、场景提示词、完整剧本、分镜表、每个分镜的视频生成提示词。支持 Seedance 2.0 / 即梦 / Midjourney / SD。触发词:分镜、提示词、prompt、镜头、脚本、剧本、视频生成、电影风格、Seedance、生成剧本。

0 20 27 days ago · Uploaded Detail →
uw-ssec uw-ssec
from GitHub Data & AI
  • 📁 references/
  • 📄 SKILL.md

download-script-dev

This skill should be used when the user asks to "develop a download script", "debug data download", "fix download error", "create data pipeline template", "download template", "GAIA data pipeline", "download from S3", "access Zarr store", "cloud data access", or mentions specific data source names like "CONUS404", "HRRR", "WRF", "PRISM", "Stage IV", "USGS", "ORNL", "DEM", "Synoptic", or "IRIS" in the context of downloading or processing data. Provides templates, configuration validation, and debugging guidance for hydroclimatological data download scripts used in the GAIA project.

0 20 27 days ago · Uploaded Detail →
fastly fastly
from GitHub Tools & Productivity
  • 📁 references/
  • 📄 SKILL.md

falco

Lints, tests, simulates, and formats Fastly VCL code using the falco tool. Also serves as the authoritative VCL reference via the falco Go source, which implements Fastly's full VCL dialect. Use when validating VCL syntax, running VCL linting, testing VCL locally, simulating VCL request handling, formatting VCL files, writing VCL unit tests with assertions, debugging VCL logic errors, looking up VCL function signatures or variable scopes, understanding VCL subroutine behavior, or running `falco lint`/`falco simulate`/`falco test`/`falco fmt`. Also applies when working with VCL syntax errors, type mismatches in VCL, choosing which VCL subroutine to use, or setting up a local VCL development and testing environment.

0 20 27 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