15,000 Open Skills

Free to get · One-click to use

✅ Keyword search & category filters
✅ Discussions & community interaction
✅ Version updates & multi-metric ranking
✅ Open SKILL.md standard

Import Skills

Hearmeman24 Hearmeman24
from GitHub Development & Coding

blockflow-block-builder

Build new blocks for BlockFlow, the visual pipeline editor for AI video and image generation. Use this skill whenever the user wants to create a new block, extend BlockFlow's functionality, add a pipeline step, build a custom node, or asks about the block architecture. Also trigger when the user mentions "custom_blocks", "frontend.block.tsx", "backend.block.py", block inputs/outputs, port types, or block registration. Even casual requests like "add a block that does X" or "I want a new pipeline step for Y" should use this skill.

0 5 14 hours ago · Uploaded Detail →
microsoft microsoft
from GitHub Data & AI

account-landscape-awareness

Account landscape scanner: surfaces full pipeline, cross-role activity, and EDE coverage across accounts where user is on the deal team. Identifies swarming opportunities where adjacent pipeline exists outside your solution area, and Unified investment signals from package/EDE gaps. Chains with account-structure-diagram and pipeline-hygiene-triage. Triggers: swarm opportunities, account landscape, what else is happening, other pipeline, cross-CSA, EDE alignment, EDE gaps, who else is working, full account view, Unified upsell, package coverage, swarming, adjacent pipeline.

0 13 6 days ago · Uploaded Detail →
max-rogue max-rogue
from GitHub Tools & Productivity

cli-pipeline

StackMoss CLI architecture — command scaffolding, state machine transitions, and pipeline orchestration. Use when working on CLI commands, state logic, or the core pipeline.

0 2 just now · Uploaded Detail →
webcoderz webcoderz
from GitHub Data & AI

swe-gym-pipeline

Run the SWE-Gym training pipeline — skill learning, SFT, GRPO, or the full pipeline. Use when the user wants to train skills, fine-tune models, generate tasks, or run the gym pipeline.

0 2 7 hours ago · Uploaded Detail →
JinLee794 JinLee794
from GitHub Data & AI

account-landscape-awareness

Account landscape scanner: surfaces full pipeline, cross-role activity, and EDE coverage across accounts where user is on the deal team. Identifies swarming opportunities where adjacent pipeline exists outside your solution area, and Unified investment signals from package/EDE gaps. Chains with account-structure-diagram and pipeline-hygiene-triage. Triggers: swarm opportunities, account landscape, what else is happening, other pipeline, cross-CSA, EDE alignment, EDE gaps, who else is working, full account view, Unified upsell, package coverage, swarming, adjacent pipeline.

0 6 10 days ago · Uploaded Detail →
EvgeniiDev EvgeniiDev
from GitHub Research & Analysis

research-pipeline

Запуск исследовательского пайплайна Ресерч-тян для глубокого анализа тем. Trigger phrases: загрузи мой ресерч пайплайн, запусти ресерч-тян, исследуй тему, найди информацию про, проведи исследование, run research pipeline, investigate.

0 2 7 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