GitHub
plan-validation
Validate a plan or pipeline with evidence-based checks, dry runs, and research. Use when the user asks to validate, verify, or QA a plan or process or asks for confidence.
bemgmt AI Skills
GitHub ↗Explorez les skills IA publiés de bemgmt et consultez leurs instructions source.
Statistiques de l’auteur
Skills indexés
9Étoiles des dépôts des skills indexés
0Forks du dépôt
9Moyenne des étoiles par skill indexé
0Les étoiles d’un dépôt peuvent se répéter entre ses skills.
Catégories populaires
Indexation récente
Explorer
GitHub
plan-with-research
Build step-by-step plans grounded in evidence and research. Use when the user asks for a plan, roadmap, steps, or strategy for code, data, or pipeline work.
GitHub
plan-audit-orchestrator
Coordinate planning, auditing, and validation workflows. Use when the user mentions plan/planning, audit/auditing, review, or validation for engineering, data, or pipeline work.
GitHub
codebase-audit
Audit and map a codebase to understand structure, dependencies, and risks. Use when the user asks to audit a repo, understand architecture, or assess codebase quality or health.
GitHub
truthfulness-check
Enforce honest, evidence-bound answers. Use when the user asks to be honest/truthful, expresses frustration or urgency, or when confidence is low and errors are costly.
GitHub
skill-authoring
Create or update project-specific skills in this repo. Use when asked to make new skills, modularize workflows, or build skill packs for this codebase.
GitHub
production-readiness
Harden code and pipelines for production. Use when the user asks for production-ready code, hardening, release readiness, performance, monitoring, or reliability.
GitHub
plan-audit
Audit or critique a plan for feasibility, risks, missing steps, and test coverage. Use when the user asks to review, audit, or critique a plan or process.
GitHub
action-gate
Decide and take action when blockers appear. Use when tools are missing, installs are required, or the user expects proactive execution to complete the task.
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.