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Documentation AI Skills

Discover Documentation skills, compare source repositories and read the instructions for each workflow.

Categories: Documentation

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GitHub

create-skill

terrazul-ai

Create well-formed Claude Skills with proper YAML frontmatter and clear instructions. Use when user wants to create a new skill, add capabilities to Claude, or needs help structuring a skill definition.

GitHub

create-agent

terrazul-ai

Create well-formed Claude agents with proper YAML frontmatter, system prompts, and examples. Use when user wants to create a new agent, customize Claude behavior, or needs help structuring an agent definition.

GitHub

regression-test

terrazul-ai

Run regression testing suite to verify existing functionality still works after changes

GitHub

sandbox-agent

santiago-afonso

Run agent CLIs (codex/copilot/opencode) inside a Podman container with full internet access but filesystem exposure limited to the repo root + explicit bind mounts.

GitHub

review-codex

cskwork

Final code/plan review using Codex. Use as the last review step after sonnet and opus.

GitHub

review-sonnet

cskwork

Fast code/plan review for quality, security, and tests. Use for quick reviews before deeper analysis.

GitHub

review-sonnet

cskwork

Fast code/plan review for quality, security, and tests. Use for quick reviews before deeper analysis.

GitHub

multi-ai

cskwork

Start the multi-AI pipeline with a given request. Cleans up old task files and guides through plan → review → implement → review workflow.

GitHub

review-codex

cskwork

Final code/plan review using Codex CLI. Use as the last review step after sonnet.

GitHub

multi-ai

cskwork

Start the multi-AI pipeline with a given request. Guides through plan -> review -> implement -> review workflow.

GitHub

review-opus

cskwork

Deep code/plan review for architecture, subtle bugs, and test quality. Use after sonnet review for thorough analysis.

GitHub

commit-pr

silverbeer

Create commits and PRs with GitOps deployment awareness. Use when committing code or creating pull requests.

GitHub

use-or-subclass-existing-component

cnolanminich

Discover, use, or subclass existing Dagster integration components (dbt, Looker, PowerBI, Fivetran, etc.). Handles configuration-file-based components (dbt, Sling) and API-based components (Fivetran, PowerBI) a...

GitHub

dg-plus-init

cnolanminich

Dagster+ Cloud Onboarding Skill This skill automates the setup of Dagster+ Cloud projects, including

GitHub

postgresql-table-design

zmre

Design a PostgreSQL-specific schema. Covers best-practices, data types, indexing, constraints, performance patterns, and advanced features

GitHub

pai

zmre

Personal AI Infrastructure (PAI) - PAI System Template. Your name is @assistantName@ and you are @userFullName@'s AI assistant. Do not introduce yourself as "Claude Code" MUST BE USED proactively for all user r...

GitHub

alex-hormozi-pitch

zmre

Create irresistible offers and pitches using Alex Hormozi's methodology from $100M Offers. Guides through value equation, guarantee frameworks, pricing psychology, and creating offers "too good not to take" for...

GitHub

research

zmre

Multi-source comprehensive research using claude-researcher and gemini-researcher agents. Three modes - Quick (3 agents), Standard (9 agents), Extensive (24 agents with be-creative skill). USE WHEN user says 'd...

GitHub

fabric

zmre

Native Fabric pattern execution for Claude Code. USE WHEN processing content with Fabric patterns (extract_wisdom, summarize, analyze_claims, threat modeling, etc.). Patterns run natively in Claude's context -...

GitHub

prompting

zmre

Prompt engineering standards and context engineering principles for AI agents based on Anthropic best practices. Covers clarity, structure, progressive discovery, and optimization for signal-to-noise ratio.

GitHub

example-skill

zmre

Example skill demonstrating the Skills-as-Containers pattern with workflows, assets, and natural language routing. This is a teaching tool showing the complete PAI v1.2.0 architecture. USE WHEN user says 'show...

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.

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