GitHub
inquiry-collector
Collects and consolidates research outputs from Phase 1 inquiry agents
brendanbecker AI Skills
GitHub ↗Explorez les skills IA publiés de brendanbecker et consultez leurs instructions source.
Statistiques de l’auteur
Skills indexés
15Étoiles des dépôts des skills indexés
10Forks 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
verification-agent
Verifies infrastructure changes, checks cluster health, service availability, deployments, and image registry status
GitHub
bug-processor
Implements bug fixes and features following PROMPT.md workflows
GitHub
work-item-creation
Creates standardized work item files and directories
GitHub
inquiry-prompts
Generate research agent prompts from INQ QUESTION.md files for Phase 1 deliberation
GitHub
inquiry
Orchestrate multi-agent deliberation for INQ work items through all 4 phases
GitHub
retrospective
Conducts retrospectives, archives items, and reprioritizes backlog
GitHub
scan-prioritize
Scans repository and builds priority queue
GitHub
task-scanner-agent
Scans infrastructure task repositories for active and backlog tasks, builds priority queue based on criticality and dependencies
GitHub
infra-executor-agent
Executes infrastructure tasks including builds, deployments, configs, and cluster operations, following acceptance criteria and committing changes
GitHub
skill-builder
Guide for creating new skills following best practices
GitHub
time-awareness
Provides current date/time information for temporal queries and calculations
GitHub
document-parser
Parse large documents into structured sections with abstracts and metadata
GitHub
uv-python-workflow
Use UV package manager for all Python operations instead of pip/python
GitHub
ce101-slides
Context Engineering 101 curriculum slide generation. Use this skill when working on CE101 curriculum to: (1) Generate styled PowerPoint presentations from markdown, (2) Create PNG previews of slides, (3) Update...
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.