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/graph/export.md
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tasks/implementation/graph/export.md
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---
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id: graph/export
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name: Implement TaskGraph export methods (export, toJSON)
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status: pending
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depends_on:
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- graph/taskgraph-class
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scope: single
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risk: trivial
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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 the `export()` and `toJSON()` methods on `TaskGraph`. These wrap graphology's `export()` to produce `TaskGraphSerialized` output.
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## Acceptance Criteria
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- [ ] `export(): TaskGraphSerialized` — wraps `graph.export()` and validates the output conforms to the `TaskGraphSerialized` schema
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- [ ] `toJSON(): TaskGraphSerialized` — alias for `export()` (enables `JSON.stringify(graph)` to work)
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- [ ] Exported data includes all node attributes and edge attributes (including `qualityRetention`)
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- [ ] Round-trip: `TaskGraph.fromJSON(graph.export())` produces an equivalent graph
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- [ ] Unit test: create graph, add tasks/edges, export, round-trip through fromJSON, verify equivalence
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## References
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- docs/architecture/api-surface.md — export/toJSON methods
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- docs/architecture/schemas.md — TaskGraphSerialized schema
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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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