Converts a Markdown project plan into a structured bead graph with tasks and dependencies.
npx skills add https://github.com/tkersey/dotfiles --skill gen-beads
Please help me install this Agent Skill. Skill: gen-beads Source: https://github.com/tkersey/dotfiles/tree/main/codex/skills/gen-beads Command: npx skills add https://github.com/tkersey/dotfiles --skill gen-beads
This Skill helps teams break down a project plan into a structured, parallelizable bead graph, enabling safer, faster implementation with clear dependencies and checkpoints.
Use the gen-beads Skill to convert your Markdown plan into a beads graph by executing the Generate Step Prompt on the plan file.
High-intent search queries and answers about installing and using this skill.
Generating a DAG-based dependency graph from project planning documents requires local bd tooling to enforce parallelization. This process extracts tasks, subtasks, and explicit contracts to establish verifiable checkpoints across independent execution paths with acceptance criteria.
A DAG-based bead graph reduces project bottlenecks by enforcing parallelization with workstreams, contracts, and checkpoint joins. Directed acyclic graph dependencies ensure tasks execute concurrently, embedding verifiable acceptance criteria for each workstream.
Generating a structured bead graph works with Markdown planning documents including plan.md, design notes, architecture documents, and implementation notes. These formats provide the necessary structure to extract tasks, subtasks, and dependencies for parallel execution.
Generating a bead graph from a plan requires only local bd tooling and no external automation dependencies. The process operates on local planning documents to produce workstreams with embedded metadata, acceptance criteria, and verification signals.
Use a bead dependency graph for project management when your planning document requires safe, fast implementation with clear dependencies and checkpoints. It is ideal for complex plans needing parallelizable workstreams with verifiable acceptance criteria and embedded maintenance metadata.
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