OpenModels Skills Registry

A community-maintained catalog of AI agent skills — structured, searchable, and integrated with the OpenModels ecosystem.

What are Skills?

Skills are structured definitions of tasks that AI agents excel at. Each skill includes:

• Description — what the skill does and when to use it
• Recommended models — which LLMs work best (linked to OpenModels registry)
• Example prompts — ready-to-use templates
• Metadata — category, complexity, modalities, compatible tools

Skills help developers discover what AI agents can do and choose the right model for each task.

Quick Start

Browse skills on openmodels.run/skills or explore the YAML files directly:

skills/
├── code-review.yaml
├── unit-test-generation.yaml
├── refactoring-assistant.yaml
├── debugging-assistant.yaml
├── api-design.yaml
├── sql-generation.yaml
├── schema-design.yaml
├── documentation-generator.yaml
├── security-audit.yaml
├── accessibility-review.yaml
├── performance-optimization.yaml
├── ci-cd-pipeline.yaml
├── commit-message-writer.yaml
├── prompt-engineering.yaml
├── code-translation.yaml
└── regex-builder.yaml

Skill Format

Each skill is a YAML file validated against a JSON Schema:

id: code-review
name: Code Review
description: >
  Automated code review with actionable feedback...
category: development
tags:
  - code-quality
  - automation
author:
  name: OpenModels Community
  github: openmodelsrun
recommended_models:
  - claude-opus-4-6
  - gpt-5
  - gemini-2-5-pro
min_context_window: 32000
modalities:
  input: [code, text]
  output: [text, code]
complexity: intermediate
use_cases:
  - Pull request review automation
  - Code quality gates in CI
example_prompt: |
  Review the following code for bugs, performance, and style...
related_skills:
  - unit-test-generation
  - security-audit
compatible_tools:
  - claude-code
  - cursor
  - kiro
  - any
created_at: "2026-05-24T10:00:00.000Z"
updated_at: "2026-05-24T10:00:00.000Z"

Categories

Category	Description
💻 development	Writing, reviewing, and improving code
✍️ writing	Generating and transforming written content
📊 data	Analyzing, transforming, and visualizing data
🔍 research	Gathering and synthesizing information
🎨 creative	Brainstorming and creative problem-solving
⚙️ ops	Deployment, CI/CD, and infrastructure
🧪 testing	Test generation and quality assurance
🔒 security	Vulnerability detection and hardening
🚀 productivity	Workflow automation and efficiency

Contributing

We welcome contributions! See CONTRIBUTING.md for guidelines.

Quick steps:

1. Fork this repository
2. Create a new YAML file in skills/ following the schema
3. Run validation: python validate.py
4. Submit a pull request

Validation

All skills are validated against JSON Schema on every PR:

pip install -r requirements.txt
python validate.py

Validation checks:

• YAML syntax
• Schema conformance (required fields, types, enums, patterns)
• No duplicate IDs
• Filename matches the id field
• Related skills reference existing IDs

Integration with OpenModels

Skills are ingested into the OpenModels platform and available via:

• Web UI — browse, filter, and search at openmodels.run/skills
• API — query programmatically via /api/v1/skills
• Cross-references — skills link to models, models link to skills

License

MIT