GitHub
tdd-execution
This skill should be used when executing plan tasks autonomously, implementing features using TDD, running the red-green-refactor cycle, handling code review loops, or dealing with blocked tasks. Provides the a...
tommymorgan AI Skills
GitHub ↗Explorez les skills IA publiés de tommymorgan et consultez leurs instructions source.
Statistiques de l’auteur
Skills indexés
7Étoiles des dépôts des skills indexés
7Forks du dépôt
0Moyenne des étoiles par skill indexé
1Les étoiles d’un dépôt peuvent se répéter entre ses skills.
Catégories populaires
Indexation récente
Explorer
GitHub
five-whys-root-cause-analysis
This skill should be used when the user reports "error", "bug", "problem", needs to "fix" something, mentions "debug", "failing", "broken", "issue", "not working", "crash", or any problem-solving scenario. Enfo...
GitHub
api-testing-patterns
This skill should be used when performing exploratory testing of REST or GraphQL APIs, including endpoint discovery, request/response validation, authentication testing, and error handling checks. Triggers when...
GitHub
verification-sweep
This skill should be used when checking plan status, running verification commands, updating task statuses, or determining what work remains. Provides the verification sweep algorithm and status update procedur...
GitHub
cli-testing-patterns
This skill should be used when performing exploratory testing of command-line tools and scripts, including help text validation, option testing, error handling verification, and output validation. Triggers when...
GitHub
browser-testing-patterns
This skill should be used when performing browser-based exploratory testing of web applications, including functional testing, visual inspection, accessibility checks, and performance analysis. Triggers when te...
GitHub
plan-format
This skill should be used when creating plan files, writing Gherkin requirements, generating tasks with verification commands, or parsing plan file structure. Provides the plan file template and format specific...
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.