feat(feedback): Phase 2 — HITL thumbs + correction capture with prompt-conditioning loop

Closes the human-in-the-loop gap from docs/brief/feature-set.md and
Phase 2 of the 2026-04-23 feature-complete roadmap.

Storage (kon-storage):
- Migration v10 adds the `feedback` table: (target_type, target_id,
  rating, original_text, corrected_text, context_json, profile_id,
  created_at) with CHECK constraints on target_type and rating, plus
  indexes on (target_type, rating, created_at DESC) for prompt-time
  retrieval and (profile_id, target_type, created_at DESC) for
  per-profile scoping.
- New public API: `FeedbackTargetType`, `RecordFeedbackParams`,
  `FeedbackRow`, `record_feedback`, `list_feedback_examples`.
- Tests updated — the RB-02 rollback regression now discovers the
  real max version at runtime instead of hard-coding v10 for its
  poison migration.

LLM (kon-llm):
- `prompts::FeedbackExample` — local shape for few-shot exemplars so
  kon-llm stays independent of kon-storage.
- `prompts::build_conditioned_system_prompt` — appends a "here is
  the style this user prefers" block to the base system prompt
  when examples are available; returns the base prompt unchanged
  when empty, so new users and early sessions see generic output.
- `LlmEngine::decompose_task_with_feedback` and
  `LlmEngine::extract_tasks_with_feedback` thread examples through
  to the builder. The old one-arg variants are preserved and now
  call through with an empty slice.
- 4 unit tests covering empty, empty-input-skip, correction-wins,
  and thumbs-up-only fallback.

Tauri (src-tauri):
- New commands::feedback module: `record_feedback`,
  `list_feedback_examples_cmd`.
- `decompose_and_store` and `extract_tasks_from_transcript_cmd`
  now fetch the last 5 positive/neutral feedback rows for their
  target type and pass them through to the LLM, wiring the
  learning loop end-to-end.
- Shared `to_llm_examples` helper parses the `context_json.input`
  field (where the recorder stashes the parent task text / transcript
  chunk) back into the exemplar shape.

Frontend (MicroSteps.svelte):
- Thumbs-up and thumbs-down buttons on every micro-step row.
  Hover-revealed; the vote recolours the icon; clicking again
  clears the local highlight (the row itself stays in the audit
  trail).
- Pencil icon + double-click to edit step text. Save flows through
  update_task_cmd for persistence and records a correction feedback
  row with (original_text, corrected_text) — the highest-value
  training signal.
- Parent task text is captured in context_json.input at record time
  so the prompt builder can reconstruct the (input, preferred-output)
  pair on subsequent decompositions.
- Feedback capture is best-effort — a record_feedback failure never
  interrupts the primary action.

What's deferred to a later phase:
- Thumbs + corrections on extracted tasks (same pipeline, different
  surface — probably TasksPage after the AI-extraction path)
- Thumbs on transcript cleanup output
- Semantic retrieval over the feedback corpus (once there is enough
  data to justify embedding infrastructure; the storage shape is
  already ready for it)

crates/storage/src/lib.rs

@@ -10,10 +10,11 @@ pub use database::{
     add_profile_term, complete_subtask_and_check_parent, complete_task, count_transcripts,
     create_profile, delete_profile, delete_profile_term, delete_task, delete_transcript,
     get_profile, get_setting, get_task_by_id, get_transcript, init, insert_subtask, insert_task,
-    insert_transcript, list_profile_terms, list_profiles, list_recent_errors, list_subtasks,
-    list_tasks, list_transcripts, list_transcripts_paged, log_error, search_transcripts,
-    set_setting, uncomplete_task, update_profile, update_task, update_transcript,
-    update_transcript_meta, ErrorLogRow, InsertTranscriptParams, ProfileRow, ProfileTermRow,
+    insert_transcript, list_feedback_examples, list_profile_terms, list_profiles,
+    list_recent_errors, list_subtasks, list_tasks, list_transcripts, list_transcripts_paged,
+    log_error, record_feedback, search_transcripts, set_setting, uncomplete_task, update_profile,
+    update_task, update_transcript, update_transcript_meta, ErrorLogRow, FeedbackRow,
+    FeedbackTargetType, InsertTranscriptParams, ProfileRow, ProfileTermRow, RecordFeedbackParams,
     TaskRow, TranscriptRow,
 };
 pub use file_storage::{app_data_dir, crashes_dir, database_path, logs_dir, recordings_dir};