Intent-driven workflow orchestration for multi-agent AI development — adaptive lifecycle engine, self-reinforcing knowledge graph, and visual dashboard for Claude Code, Gemini, Codex & more
- ✓Actively maintained (<30d)
- ✓Healthy fork ratio
- ✓Clear description
- !No standard license detected
git clone https://github.com/catlog22/maestro-flow && cp maestro-flow/*.md ~/.claude/agents/24 items en este repositorio
Read-only code exploration via Bash + CLI semantic dual-source analysis, with schema-validated structured output.
Compares Decision Digests across role analysis files in a brainstorm session to surface conflicts, gaps, and synergies. Read-only — returns structured text for the orchestrator to apply.
Autonomous executor for non-interactive impeccable commands. Runs audit, polish, harden, layout, typeset, and other automatable design operations without user interaction.
Generates multi-file role analysis for a brainstorm session — analysis.md index + per-feature files + optional findings under {output_dir}/{role}/.
Resident pipeline supervisor agent. Message-driven lifecycle for cross-checkpoint quality observation and health monitoring.
Unified worker agent for team pipelines. Executes role-specific logic loaded from a role_spec file within a built-in task lifecycle (discover, execute, report).
UI design token management and prototype generation — W3C Design Tokens Format, state-based components, WCAG AA validation, responsive layout templates.
Evaluates technical topics, proposals, or decisions across multiple dimensions with evidence-based scoring and recommendations.
Analyzes existing codebase from a specific focus area, spawned in parallel
Collaborative planner working within pre-allocated task ID ranges
Implements single tasks atomically with verification and commit discipline
External research agent using Exa MCP for API details, design patterns, and technology evaluation
Test coverage audit with gap detection and test stub generation
Researches implementation approach for a specific roadmap phase
Creates execution plans with task decomposition, waves, and dependencies
Domain research for project initialization, spawned with different focus angles
Merges multiple researcher outputs into a unified research summary
Multi-dimensional code review agent — analyzes changed files for a single review dimension
Creates project roadmap with phased milestones from research and requirements
Goal-backward verification across three layers (existence, substance, connection)
Resumen de Subagents
Lo que la gente pregunta sobre maestro-flow
¿Qué es catlog22/maestro-flow?
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catlog22/maestro-flow es subagents para el ecosistema de Claude AI. Intent-driven workflow orchestration for multi-agent AI development — adaptive lifecycle engine, self-reinforcing knowledge graph, and visual dashboard for Claude Code, Gemini, Codex & more Tiene 484 estrellas en GitHub y se actualizó por última vez today.
¿Cómo se instala maestro-flow?
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Puedes instalar maestro-flow clonando el repositorio (https://github.com/catlog22/maestro-flow) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar catlog22/maestro-flow?
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Nuestro agente de seguridad ha analizado catlog22/maestro-flow y le ha asignado un Trust Score de 64/100 (tier: OK). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene catlog22/maestro-flow?
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catlog22/maestro-flow es mantenido por catlog22. La última actividad registrada en GitHub es de today, con 1 issues abiertos.
¿Hay alternativas a maestro-flow?
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Sí. En ClaudeWave puedes explorar subagents similares en /categories/agents, ordenados por popularidad o actividad reciente.
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