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Scoped maintenance for docs/solutions entries when stale signals, refactors, or explicit user scope require refresh.
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Based on SOC occupation classification
Orchestration skill: chains the full ADLC Build Loop. PRD → Brief → Council → Scaffold → Codegen → LDD → TDD → Council → PR. Use when implementing a new feature end-to-end.
Generate a bounded, schema-valid goal prompt from one validated Build Brief task for zero-context external execution.
Applicability-aware Definition of Done checklist. Core checks apply to every task; overlay checks activate only when the applicability manifest says the surface exists. Binary verification — pass or fail. Triggers at Phase 4 completion and Phase 5 entry.
Score whether each task is specific enough for autonomous, one-shot, production-ready execution.
Reviews code changes for understanding, blast radius, state, secrets, assumptions, and explainability. Produces a blocking comprehension artifact when implications are unclear.
Resolve ambiguous triage outcomes in the middle confidence band.
| name | learning-refresh |
| description | Scoped maintenance for docs/solutions entries when stale signals, refactors, or explicit user scope require refresh. |
| contract_version | 1.0.0 |
| side_effect_profile | mutating |
| activation | {"mode":"scoped_maintenance","consumes_manifest":true,"trigger_fields":["stale_conditions","module","adlc_domain"],"produces":["learning_refresh_report"]} |
Keep docs/solutions useful without turning every ADLC run into a documentation sweep.
Run only with a concrete scope:
Use one outcome per reviewed entry:
Keep: still accurate and usefulUpdate: same learning, refreshed evidence or verifierConsolidate: merge overlapping entries and delete duplicatesReplace: supersede misleading guidance with a new entryDelete: remove obsolete or unsupported entries; git history is the archiveAmbiguous headless cases should be marked stale rather than rewritten.
python3 scripts/validate_learning_entry.py.