When should I use 'bd' commands instead of 'TodoWrite'?

Use 'bd' (Beads) for any work that has blockers, complex dependencies, or will take more than a single session to complete.

How does this differ from a standard todo list?

Unlike ephemeral todo lists, this skill uses graph-based dependencies and persistent storage that survives conversation compaction, making it suitable for long-term projects.

Does this skill require any other plugins?

Yes, you must load the maestro-core skill first to handle routing and fallback policies for the tracking system.

Can I sync these tasks with my remote repository?

Yes, the skill includes a sync command that works with your git remote to ensure task states are consistent across different environments.

What is conversation compaction in Claude Code?

Compaction is when the AI trims its conversation history to stay within context limits; this skill preserves critical task data outside of that volatile history.

Persistent Workflow Tracking

Name: Persistent Workflow Tracking
Author: ReinaMacCredy

byReinaMacCredy

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Productividad y Flujo de Trabajo

Tracks complex, multi-session software development tasks using graph-based issue management and persistent memory that survives conversation compaction.

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The Persistent Workflow Tracking skill solves the challenge of context loss in long-running AI development projects. By utilizing the Beads issue tracker and dependency graphs, it provides Claude with a persistent memory layer that remains intact even when conversation history is compacted or sessions are restarted. It is specifically designed for complex engineering tasks with nested dependencies, allowing the AI to maintain a clear understanding of what is blocked, what is ready for work, and what progress has been made over days or weeks of development.

Características Principales

Graph-based issue tracking for managing complex task dependencies
22 GitHub stars
Detailed progress logging to maintain context across session breaks
Persistent memory storage that survives LLM conversation compaction cycles
Automated task prioritization via 'ready' status indicators
Git-integrated synchronization for remote team collaboration

Casos de Uso

Navigating and resolving deep dependency chains in complex codebases
Managing large-scale feature migrations that span multiple weeks and sessions
Maintaining continuity during multi-agent development workflows

Acerca de

Características Principales

Graph-based issue tracking for managing complex task dependencies
22 GitHub stars
Detailed progress logging to maintain context across session breaks
Persistent memory storage that survives LLM conversation compaction cycles
Automated task prioritization via 'ready' status indicators
Git-integrated synchronization for remote team collaboration

Casos de Uso

Navigating and resolving deep dependency chains in complex codebases
Managing large-scale feature migrations that span multiple weeks and sessions
Maintaining continuity during multi-agent development workflows