Decompose architecture into 28 atomic implementation tasks
Break the @alkdev/taskgraph architecture specs into dependency-ordered implementation tasks across 8 component directories: setup, schema, error, graph, analysis, cost-benefit, frontmatter, api, and review. Each task has clear acceptance criteria referencing specific architecture docs. Three review tasks serve as quality gates at critical junction points (schemas-and-errors, graph-complete, complete-library). The dependency graph is validated acyclic with 9 topological levels enabling significant parallelism across independent work streams.
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tasks/implementation/analysis/parallel-groups.md
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tasks/implementation/analysis/parallel-groups.md
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id: analysis/parallel-groups
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name: Implement parallelGroups analysis function
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status: pending
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depends_on:
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- graph/construction
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- graph/queries
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scope: narrow
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risk: low
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impact: component
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level: implementation
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---
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## Description
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Implement `parallelGroups(graph: TaskGraph): string[][]` in `src/analysis/index.ts` or a dedicated module. This returns groups of tasks that can be executed concurrently — tasks at the same topological depth. Uses `graphology-dag.topologicalGenerations`.
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## Acceptance Criteria
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- [ ] `parallelGroups` returns `string[][]` where each inner array is a generation of tasks at the same depth from sources
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- [ ] Uses `graphology-dag.topologicalGenerations()` for the generation computation
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- [ ] Tasks with zero prerequisites are in the first group
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- [ ] Throws `CircularDependencyError` if the graph is cyclic (delegated to `topologicalGenerations` behavior)
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- [ ] Works on disconnected graphs (each connected component sorted independently, then merged by depth)
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- [ ] Unit tests: linear chain (each group size 1), diamond graph, disconnected components
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## References
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- docs/architecture/api-surface.md — parallelGroups signature
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- docs/architecture/graph-model.md — parallel groups definition
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## Notes
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> To be filled by implementation agent
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## Summary
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> To be filled on completion
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