GitHub
skill-scaffold-generator
Generates new skill folders and SKILL.md drafts from approved evolution proposals, enforcing project standards.
hohai99 AI Skills
GitHub ↗Explorez les skills IA publiés de hohai99 et consultez leurs instructions source.
Statistiques de l’auteur
Skills indexés
36Étoiles des dépôts des skills indexés
0Forks du dépôt
36Moyenne des étoiles par skill indexé
0Les étoiles d’un dépôt peuvent se répéter entre ses skills.
Catégories populaires
Indexation récente
Explorer
GitHub
release-notes-generator
Generates accurate, user-facing release notes from specifications and approved changes. Use before every release.
GitHub
documentation-consistency-keeper
Keeps all project documents consistent after code or spec changes. Use after any approved update.
GitHub
assumption-and-risk-hunter
Surfaces hidden assumptions and prioritizes systemic risks to prevent project failure. Use after initial designs or specifications.
GitHub
controlled-task-decomposition
Breaks specifications into executable, verifiable tasks without over-fragmentation. Use after spec freeze.
GitHub
migration-scope-partitioner
Divides migration work into safe, incremental phases to minimize risk. Use during migration planning.
GitHub
project-vision-normalizer
Normalizes raw project ideas into a consistent internal vision for this workspace. Use when starting a new project.
GitHub
workspace-spec-linter
Lints specifications against project-specific rules to detect ambiguity, enforce structure, and ensure testability. Use before spec freeze.
GitHub
workspace-orchestrator-adapter
Adapts orchestration based on workspace context AND observed user prompt behavior over time.
GitHub
delivery-readiness-gate
Determines if the project or migration is ready for delivery. Use before release.
GitHub
orchestrator-self-auditor
Audits and updates the development controller logic when skills are added, removed, or modified to maintain flow integrity.
GitHub
spec-auto-updater
Updates specifications to reflect approved implementation behavior. Use only after spec change approval.
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.