Browse Skills

Beads provides a durable, shared task-tracking workflow for repositories that use the bd CLI. Use it to find ready work, claim or close tasks, manage blockers, and preserve project context across sessions.

Beads provides a Dolt-backed graph issue tracker for AI agents to manage multi-session work with dependencies and persistent memory across conversation compaction. Use when work spans sessions, has blockers, or needs context recovery after compaction.

Beads Documentation defines the house style and conventions for writing, editing, and reviewing the beads user documentation under docs/. Use it when working on any docs pages, concept docs, reference, integration guides, recovery runbooks, diagrams, or navigation.

Planning With Files creates task_plan.md, findings.md, and progress.md files to organize and track progress on complex multi-step tasks. Use it when planning, analyzing tasks, organizing projects, or tracking progress.

Planning with Files organizes complex multi-step work by creating and updating task_plan.md, findings.md, and progress.md files as persistent working memory on disk. Use it before starting complex projects or research tasks and to recover context after a session reset by reading the planning files.

Planning with Files creates and maintains task_plan.md, findings.md, and progress.md so an agent's work survives context loss and /clear. Use it when asked to plan or organize multi-step projects, research tasks, or work requiring five or more tool calls.

Planning with Files creates persistent markdown planning files (task_plan.md, findings.md, progress.md) so AI coding agents can keep task state across context loss and /clear. Use it for multi-step projects, research tasks, or any work requiring 5+ tool calls, with automatic session recovery after /clear.

Planning with Files keeps task_plan.md, findings.md, and progress.md on disk so an agent's plan survives context loss and /clear. Use for multi-step projects, research tasks, or any work requiring 5+ tool calls; includes automatic session recovery after /clear.

Planning with Files keeps task plans, findings, and progress in markdown files on disk so AI agents retain context across sessions and tool calls. Use it for multi-step projects, research, or any work requiring five or more tool calls.

Planning with Files uses persistent markdown files to organize and track progress on complex tasks. It creates task_plan.md, findings.md, and progress.md, and is used for multi-step projects, research tasks, or work with over five tool calls.

Planning With Files organizes multi-step tasks using three Markdown files — task_plan.md, findings.md, and progress.md — to persist progress, findings, and session logs. Use it before starting a complex project or when you need to resume work after a context reset.

Planning With Files organizes complex tasks using persistent Markdown files for task plans, findings, and progress. Use it for multi-step projects, research, or any work requiring more than five tool calls, with session recovery support.