GitHub
meeting-summary
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...
steven-levey-rt AI Skills
GitHub ↗Explorez les skills IA publiés de steven-levey-rt et consultez leurs instructions source.
Statistiques de l’auteur
Skills indexés
8Étoiles des dépôts des skills indexés
0Forks du dépôt
0Moyenne des étoiles par skill indexé
0Les étoiles d’un dépôt peuvent se répéter entre ses skills.
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GitHub
create-presentation
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...
GitHub
skill-creator
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...
GitHub
build-workflow
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...
GitHub
clickup-push-tasks
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...
GitHub
prd-spec
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....
GitHub
build-it
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.
GitHub
build-loop
TDD cycle for agent-loop tasks. Runs RED-GREEN-REFACTOR with auto-detected test framework and outputs completion markers.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.