GitHub
executing-plans
Use when you have a written implementation plan to execute in a separate session with review checkpoints
mbcoalson AI Skills
GitHub ↗Explorez les skills IA publiés de mbcoalson et consultez leurs instructions source.
Statistiques de l’auteur
Skills indexés
34Étoiles des dépôts des skills indexés
68Forks du dépôt
0Moyenne des étoiles par skill indexé
2Les étoiles d’un dépôt peuvent se répéter entre ses skills.
Catégories populaires
Indexation récente
Explorer
GitHub
skill-builder
Use this skill when creating new Claude Code skills from scratch, editing existing skills to improve their descriptions or structure, or converting Claude Code sub-agents to skills. This includes designing skil...
GitHub
writing-skills
Use when creating new skills, editing existing skills, or verifying skills work before deployment
GitHub
skyspark-analysis
SkySpark analytics for building automation systems including Axon queries, trend analysis, fault detection, and performance optimization using haystack tagging standards
GitHub
finishing-a-development-branch
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
GitHub
dispatching-parallel-agents
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
GitHub
writing-plans
Use when you have a spec or requirements for a multi-step task, before touching code
GitHub
verification-before-completion
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before as...
GitHub
test-driven-development
Use when implementing any feature or bugfix, before writing implementation code
GitHub
receiving-code-review
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement...
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.