Analyze beads issue-tracker dependency graphs with 9 graph metrics.
npx skills add https://github.com/Zpankz/mcp-skillset --skill bv-zpankz
Please help me install this Agent Skill. Skill: bv Source: https://github.com/Zpankz/mcp-skillset/tree/main/bv Command: npx skills add https://github.com/Zpankz/mcp-skillset --skill bv-zpankz
bv analyzes beads issue tracker graphs to reveal priority and risk using 9 graph metrics and the robot protocol.
Run bv with the robot insights flag to generate the JSON analysis and review the results to determine next actions.
High-intent search queries and answers about installing and using this skill.
To prioritize issues for sprint planning, dependency graph analysis uses 9 graph metrics like PageRank, Betweenness, and Critical Path to rank issues and reveal structural risks. This approach identifies high-impact tasks to sequence work safely across repositories.
The robot protocol for drift detection provides deterministic JSON outputs during CI/CD pipelines to monitor architectural health. It analyzes issue dependency graphs to identify structural changes and topological ordering shifts across single or multi-repo projects.
Analyzing multi-repo dependency graphs involves applying 9 graph metrics including HITS, Eigenvector, and Density to extract safe JSON results. This identifies cycles and topological ordering to monitor architectural health and detect drift across projects.
Yes, you need jq and bc installed as dependencies to run the dependency graph analysis scripts. These tools process the mathematical calculations and JSON data parsing required for generating deterministic robot protocol outputs.
Monitoring architectural health using issue tracker data is best achieved by calculating graph density, cycles, and critical path metrics. This reveals structural risks and dependencies, enabling proactive prioritization and historical analysis of architectural drift.
Topological sorting helps with task prioritization by ordering issues based on their dependencies within the graph. This ensures foundational tasks are addressed first, preventing bottlenecks and providing safe JSON results for dependency analysis.
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