feat: add teaching asset prompts

.planning/STATE.md

@@ -7,7 +7,7 @@ See: `.planning/PROJECT.md` (updated 2026-04-26)
 **Core value:** The user should feel and prove that they are becoming more
 interview-ready after each short practice loop.
 
-**Current focus:** Phase 6 planning: Teaching Assets.
+**Current focus:** v1 baseline complete; ready for milestone audit or frontend planning.
 
 ## Current Decisions
 
@@ -31,13 +31,15 @@ interview-ready after each short practice loop.
   challenge APIs derived from learner memory evidence.
 - Phase 5 ontology material ingestion is implemented and verified with
   source-backed candidate concepts, prerequisite edges, and candidate gaps.
+- Phase 6 teaching asset prompts are implemented and verified with source
+  evidence, model config, review state, and model-id verification guard.
 
 ## Next Actions
 
-1. Plan Phase 6 teaching asset prompt generation with GSD.
-2. Keep `docs/planning/WORKFLOW_CONTRACTS.md` aligned with Go structs during
-   future workflow implementation.
-3. Verify the production OpenAI image model identifier before real asset
+1. Run a milestone audit across Phase 1 through Phase 6.
+2. Choose the next milestone: frontend MVP, persistence, real workflow runtime,
+   or document parser integration.
+3. Verify the production OpenAI image model identifier before real image
    generation calls.
 
 ## Validation Log
@@ -61,6 +63,9 @@ interview-ready after each short practice loop.
 - 2026-04-26: Phase 5 implementation verified with `go test ./...`,
   `openspec validate bootstrap-job-tutor-platform --strict`, live material
   ingestion and ontology snapshot smoke, and Go source line-count check.
+- 2026-04-26: Phase 6 implementation verified with `go test ./...`,
+  `openspec validate bootstrap-job-tutor-platform --strict`, live
+  material-to-asset-prompt smoke, and Go source line-count check.
 
 ---
 *State initialized: 2026-04-26.*