bmad-discovery-research
Brainstorms ideas and researches projects.
Explorez les skills IA publiés de bacoco et consultez leurs instructions source.
Skills indexés
20Étoiles des dépôts des skills indexés
1,064Forks du dépôt
160Moyenne des étoiles par skill indexé
53Les étoiles d’un dépôt peuvent se répéter entre ses skills.
Brainstorms ideas and researches projects.
Routes work to OpenSpec (L0-1) or BMAD (L2-4). Tracks status and guides through phases.
Diagnoses bottlenecks and designs performance optimization plans.
Bootstraps the TaskMaster MCP server and aligns it with BMAD hooks.
Creates PRDs and plans features.
Archives completed L0-1 changes.
Creates technical architecture and system design.
Hardens designs and implementations with structured security reviews.
Breaks epics into developer stories.
Implements L0-1 changes from proposals.
Guide for creating effective skills with specialized knowledge and workflows.
Designs UX and creates wireframes.
Creates lightweight proposals for L0-1 work.
Establishes instrumentation, monitoring, and alerting foundations.
Implements stories with code and tests.
Creates test strategy and ATDD scenarios.
Claude Code skill creation and validation toolkit. Activates when creating new skills, validating skill structure, or packaging skills for distribution. Provides templates, validation scripts (quick_validate.py...
Discovers, validates, and integrates Model Context Protocol (MCP) tools into Claude Code skills. Searches MCP catalogs, scores candidates, generates tool configurations, and optionally sets up Docker runtimes....
Pattern detection and automatic skill recommendation system. Activates when analyzing Cortex memory files, detecting recurring work patterns, or determining if new skills are needed. Analyzes .cortex_log.md, PR...
Automatic session tracking and memory system for Claude Code. Activates when working in git repositories to track file changes, commits, and session context. Creates .cortex_log.md (session history), .cortex_st...
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.