Add lib/build-graph.py that builds a NetworkX DiGraph from project docs and forge API, runs structural analyses (orphans, cycles, disconnected clusters, thin objectives, bottlenecks), and outputs a JSON report. Predictor and reviewer agents now call build-graph.py before launching their Claude sessions and inject the report as context. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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| .. | ||
| add-rpc-method.toml | ||
| groom-backlog.toml | ||
| review-pr.toml | ||
| run-gardener.toml | ||
| run-planner.toml | ||
| run-predictor.toml | ||
| run-publish-site.toml | ||
| run-supervisor.toml | ||
| upgrade-dependency.toml | ||