Daily Featured Skills Count
3,840 3,909 3,920 3,927 3,966 4,007 4,027
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♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
kdcube kdcube
from GitHub Tools & Productivity
  • 📄 SKILL.md
  • 📄 sources.yaml
  • 📄 tools.yaml
automation devops docs

kdcube

Knowledge about the KDCube platform — a multi‑tenant, self‑hosted runtime + SDK for building AI assistants, copilots, and agentic apps. Covers bundles/workflows, streaming + timeline, custom bundle UIs, tools/skills, isolated execution, economics/accounting, provenance/citations, and deployment options (local, EC2, ECS).

⬇0 ❤8 11 days ago · Uploaded Detail →
figmatutor figmatutor
from GitHub Ops & Delivery
  • 📁 agents/
  • 📁 evals/
  • 📁 references/
  • 📄 LICENSE.txt
  • 📄 SKILL.md
capture devops figma

bringing-codex-to-figma

Route/view capture orchestration skill for moving local or deployed web app screens into Figma using generate_figma_design + CDP scripts. Use for discovery, prepare/capture coordination, and post-capture grouping; rely on figma-use for generic Figma write rules.

⬇0 ❤7 7 days ago · Uploaded Detail →
ADAvault ADAvault
from GitHub Development & Coding
  • 📁 examples/
  • 📁 reference/
  • 📄 LICENSE
  • 📄 README.md
  • 📄 SKILL.md
contracts midnight devops

midnight-compact

Write, test, and deploy Compact smart contracts for Midnight. Use when writing privacy-preserving contracts, ZK circuits, shielded tokens, or any on-chain Midnight code.

⬇0 ❤8 13 days ago · Uploaded Detail →
critesjosh critesjosh
from GitHub Development & Coding
  • 📁 contract-dev/
  • 📁 txe/
  • 📁 workspace/
  • 📄 SKILL.md
security aztec devops

aztec-developer

Aztec smart contract development, Noir programming, testing, deployment, and TypeScript integration. Use when working with Aztec contracts, notes, private state, or any Aztec SDK code. Use review-contract for security reviews.

⬇0 ❤7 11 days ago · Uploaded Detail →
luozijian1990 luozijian1990
from GitHub Ops & Delivery
  • 📁 references/
  • 📄 Example
  • 📄 SKILL.md
devops sre 基于运维技能等级

resume-generator

基于运维技能等级白皮书，生成符合 STAR 法则的运维/SRE 简历项目描述，并根据目标 JD 进行模拟面试演练。用于运维、DevOps、SRE 求职场景下的项目重写、模板匹配和面试准备。

⬇0 ❤6 8 days ago · Uploaded Detail →
sodadata sodadata
from GitHub Ops & Delivery
  • 📄 command-reference.md
  • 📄 SKILL.md
data quality devops

soda-cli

How to use the Soda CLI for data quality management — authentication, datasources, datasets, contracts, monitors, results, secrets, permissions, and CI/CD integration. Use when working with Soda, data quality, or the sodacli command.

⬇0 ❤5 7 days ago · Uploaded Detail →
0x0pointer 0x0pointer
from GitHub Development & Coding
  • 📄 SKILL.md
security devops python

ad-assessment

Active Directory security audit using the MITRE ATT&CK framework. Full domain enumeration, trust mapping, GPO analysis, ACL abuse paths, ADCS attacks (ESC1-ESC8), delegation abuse (constrained/unconstrained/RBCD), fine-grained password policies, LAPS deployment, service account security, and Kerberos configuration. Uses enum4linux-ng, netexec, impacket, ldapsearch, certipy-ad, bloodhound-python, and rpcclient. Produces attack path diagrams, prioritized risk register, and PoCs. Chains into /gh-export for issue filing.

⬇0 ❤6 10 days ago · Uploaded Detail →
simmzl simmzl
from GitHub Ops & Delivery
  • 📁 references/
  • 📄 SKILL.md
aipanel devops conversational

aipanel-installer

Create, continue, recover, and verify AIPanel installations through a conversational one-command flow. Use when a user wants to start creating AIPanel, deploy a new AIPanel instance, resume an interrupted installation, check installer progress, or finish the final setup inputs needed before deployment.

⬇0 ❤5 8 days ago · Uploaded Detail →
floomhq floomhq
from GitHub Development & Coding
  • 📁 .well-known/
  • 📁 about/
  • 📁 email/
  • 📄 badge.svg
  • 📄 llms-full.txt
  • 📄 llms.txt
backend python devops

floom

Deploy Python apps, API backends, and MCP servers to Floom. Use when building a Python function or API that needs a live URL, REST endpoint, web UI, or MCP tools.

⬇0 ❤5 8 days ago · Uploaded Detail →
nickmeron nickmeron
from GitHub Ops & Delivery
  • 📄 SKILL.md
devops export import

Dataverse-MCP-Server

Application Lifecycle Management for Dynamics 365 — export/import solutions between environments, publish customizations, manage environment variables, compare deployments. Use when asked "export solution", "import to UAT", "promote to prod", "manage env vars".

⬇0 ❤6 12 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