Browse published AI skills maintained by steven-levey-rt. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
8Repository stars across indexed skills
0Repository forks
0Average repository stars per indexed skill
0Repository stars may repeat across skills from the same repository.
Transform meeting folders into structured summaries with actionable tasks. Use when: (1) Processing meeting recordings/transcripts into documentation (2) Creating summaries from meeting notes, agendas, and supp...
Retro-futuristic brutalist design system for PowerPoint presentations. Creates striking, minimalist presentations with a technical/terminal aesthetic featuring khaki backgrounds, dark navy blocks, monospace typ...
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or to...
Build Temporal workflows from JSON spec files. Use when (1) a JSON workflow spec file needs to be converted to working Temporal code, (2) implementing a workflow from a designer export, (3) generating workflow...
Push a local task file to ClickUp as a new task with subtasks. Use when you have a structured task file (docs/tasks/*.md) and want to create visibility in ClickUp for clients or team members. Creates parent tas...
PRD workflow for building products from idea to implementation. Use when (1) starting a new product, (2) creating PRD documentation, (3) generating BDD scenarios, (4) building UI specs, (5) TDD implementation....
Automates TDD cycles for BDD scenarios from a feature manifest. Reads PRD.md for context, picks scenario from manifest, runs RED-GREEN-REFACTOR cycle, and marks passes=true.
TDD cycle for agent-loop tasks. Runs RED-GREEN-REFACTOR with auto-detected test framework and outputs completion markers.
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.