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Graph-aware triage engine for Beads projects.

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SKILL.md

name beads-viewer
description Graph-aware triage engine for Beads projects.

Using bv as an AI sidecar

bv is a graph-aware triage engine for Beads projects (.beads/beads.jsonl). Instead of parsing JSONL or hallucinating graph traversal, use robot flags for deterministic, dependency-aware outputs with precomputed metrics (PageRank, betweenness, critical path, cycles, HITS, eigenvector, k-core).

Scope boundary: bv handles what to work on (triage, priority, planning). For agent-to-agent coordination (messaging, work claiming, file reservations), use MCP Agent Mail.

⚠️ CRITICAL: Use ONLY --robot-* flags. Bare bv launches an interactive TUI that blocks your session.

The Workflow: Start With Triage

bv --robot-triage is your single entry point. It returns everything you need in one call:

  • quick_ref: at-a-glance counts + top 3 picks
  • recommendations: ranked actionable items with scores, reasons, unblock info
  • quick_wins: low-effort high-impact items
  • blockers_to_clear: items that unblock the most downstream work
  • project_health: status/type/priority distributions, graph metrics
  • commands: copy-paste shell commands for next steps

bv --robot-triage # THE MEGA-COMMAND: start here bv --robot-next # Minimal: just the single top pick + claim command

Other Commands

Planning:

Command Returns
--robot-plan Parallel execution tracks with unblocks lists
--robot-priority Priority misalignment detection with confidence

Graph Analysis:

Command Returns
--robot-insights Full metrics: PageRank, betweenness, HITS (hubs/authorities), eigenvector, critical path, cycles, k-core, articulation points, slack
--robot-label-health Per-label health: health_level (healthy|warning|critical), velocity_score, staleness, blocked_count
--robot-label-flow Cross-label dependency: flow_matrix, dependencies, bottleneck_labels
--robot-label-attention [--attention-limit=N] Attention-ranked labels by: (pagerank × staleness × block_impact) / velocity

History & Change Tracking:

Command Returns
--robot-history Bead-to-commit correlations: stats, histories (per-bead events/commits/milestones), commit_index
--robot-diff --diff-since <ref> Changes since ref: new/closed/modified issues, cycles introduced/resolved

Other Commands:

Command Returns
--robot-burndown <sprint> Sprint burndown, scope changes, at-risk items
--robot-forecast <id|all> ETA predictions with dependency-aware scheduling
--robot-alerts Stale issues, blocking cascades, priority mismatches
--robot-suggest Hygiene: duplicates, missing deps, label suggestions, cycle breaks
--robot-graph [--graph-format=json|dot|mermaid] Dependency graph export
--export-graph <file.html> Self-contained interactive HTML visualization

Scoping & Filtering

bv --robot-plan --label backend # Scope to label's subgraph bv --robot-insights --as-of HEAD~30 # Historical point-in-time bv --recipe actionable --robot-plan # Pre-filter: ready to work (no blockers) bv --recipe high-impact --robot-triage # Pre-filter: top PageRank scores bv --robot-triage --robot-triage-by-track # Group by parallel work streams bv --robot-triage --robot-triage-by-label # Group by domain

Understanding Robot Output

All robot JSON includes:

  • data_hash — Fingerprint of source beads.jsonl (verify consistency across calls)
  • status — Per-metric state: computed|approx|timeout|skipped + elapsed ms
  • as_of / as_of_commit — Present when using --as-of; contains ref and resolved SHA

Two-phase analysis:

  • Phase 1 (instant): degree, topo sort, density — always available immediately
  • Phase 2 (async, 500ms timeout): PageRank, betweenness, HITS, eigenvector, cycles — check status flags

For large graphs (>500 nodes): Some metrics may be approximated or skipped. Always check status.

jq Quick Reference

bv --robot-triage | jq '.quick_ref' # At-a-glance summary bv --robot-triage | jq '.recommendations[0]' # Top recommendation bv --robot-plan | jq '.plan.summary.highest_impact' # Best unblock target bv --robot-insights | jq '.status' # Check metric readiness bv --robot-insights | jq '.Cycles' # Circular deps (must fix!) bv --robot-label-health | jq '.results.labels[] | select(.health_level == "critical")'

Performance: Phase 1 instant, Phase 2 async (500ms timeout). Prefer --robot-plan over --robot-insights when speed matters. Results cached by data hash.

Use bv instead of parsing beads.jsonl—it computes PageRank, critical paths, cycles, and parallel tracks deterministically.