Track multi-session tasks with dependency management via Git-backed workflows.
npx skills add https://github.com/quanhavn/workflow-skills --skill beads-quanhavn
Please help me install this Agent Skill. Skill: beads Source: https://github.com/quanhavn/workflow-skills/tree/main/beads Command: npx skills add https://github.com/quanhavn/workflow-skills --skill beads-quanhavn
Beads enables persistent, multi-session task tracking with dependency management for AI agents. It preserves context across conversation boundaries and coordinates complex workflows, reducing cognitive load and context-switching.
Start by inspecting ready work and then activate a multi-step task workflow using the beads skill and the bd CLI, ensuring you reference the persistent context and dependencies when planning next actions.
High-intent search queries and answers about installing and using this skill.
Persistent multi-session task tracking survives conversation compaction by using Git-backed persistence to store dependency graphs, rich notes, and decision history. This preserves context across session boundaries for long-running projects.
Managing dependencies for long-running AI workflows requires a dependency graph tracking blocks, related, parent-child, and discovered-from relationships. This coordinates complex cross-session workflows and reduces context-switching cognitive load.
Git-backed persistence supports coordinating complex AI agent workflows with blockers by maintaining dependency relationships and contextual memory. It preserves task states and decision history across multiple sessions for ongoing improvement cycles.
Start a multi-step task workflow by inspecting ready work, then activate the workflow using the beads skill and the bd CLI. Reference persistent context and dependencies when planning next actions to ensure cross-session continuity.
Persistent task tracking requires a SKILL.md frontmatter with a name and description. Optional resources directories may be included to support the dependency management and contextual memory features.
Multi-session dependency management is not suited for short-lived, single-session tasks that do not span days or weeks. It is designed for long-running projects, research, and integration work requiring context survival across compaction.
jack-michaudManage local issue tracking with dependency management via bd CLI commands.
jordanhindoTrack git-backed issues with dependency graphs across AI sessions.
ReinaMacCredyTrack multi-session work with dependency graphs and git-backed persistence.
tjmgregoryManage persistent task and issue tracking via the bd command-line interface.
