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Data & AI AI Skills

Discover Data & AI skills, compare source repositories and read the instructions for each workflow.

Categories: Data & AI

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GitHub

designscaffold-skill

venikman

Scaffolds a new Skill (SkillSpec + SKILL.md + code stub + fixtures + test harness), regenerates inventory + index, and logs U.Work.

GitHub

tdd-kata-workflow

xpepper

This skill should be used when the user asks to "practice TDD", "start a kata", "code kata", "test-driven development", "red green refactor", mentions "object calisthenics" constraints, or when agents in the td...

GitHub

python-conventions

VectorInstitute

Python tooling conventions for this organization. Use when working with Python projects, fixing linting issues, or managing dependencies.

GitHub

merge-resolution

VectorInstitute

Merge conflict resolution conventions. Use when resolving git merge conflicts, especially in dependency files and lock files.

GitHub

howdy-stranger-content

benpalmershow

Manages content creation and data updates for Howdy, Stranger - independent economic commentary site. Use for creating posts, updating financial indicators, managing media, and maintaining JSON data files.

GitHub

new-component

clagraff

Create a new ECS component in rogueverse. Use when adding components, creating component classes, or extending the ECS system with new data types.

GitHub

review-manual

Cloud-Officer

Review, create, or update docs/manual.md with user documentation for the product

GitHub

review-readme

Cloud-Officer

Review, create, or update README.md to match organizational standards with accurate project-specific content

GitHub

query-db

Cloud-Officer

Query databases using natural language via CLI commands. Reads schema context from .claude/DB.md. Supports MySQL, PostgreSQL, MongoDB, Elasticsearch, and Redis.

GitHub

create-pr

Cloud-Officer

Generate commit message, PR title, and PR body for a pull request. Use when the user wants to create a PR, generate PR content, prepare a pull request, or fill a PR template from code changes.

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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