Подготовить repair-итерации из stage GUI handoff
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@@ -93,6 +93,7 @@ Canonical commands:
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python scripts/stage_agent_loop.py plan --manifest docs/orchestration/<stage_loop>.json
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python scripts/stage_agent_loop.py run --manifest docs/orchestration/<stage_loop>.json
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python scripts/stage_agent_loop.py ingest-gui-run --manifest docs/orchestration/<stage_loop>.json --run-id assistant-stage1-<id>
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python scripts/stage_agent_loop.py prepare-repair --manifest docs/orchestration/<stage_loop>.json
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python scripts/stage_agent_loop.py summarize --manifest docs/orchestration/<stage_loop>.json
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```
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@@ -139,6 +140,14 @@ It stores the GUI review under `artifacts/domain_runs/stage_agent_loops/<stage_i
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It also writes `stage_repair_handoff.md/json` next to the stage summary. That handoff is the preferred input for the next coder pass: it lists primary repair targets and sample user-facing failures without forcing the coder to reread the entire GUI conversation first.
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To prepare the next repair iteration from that handoff, run:
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```powershell
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python scripts/stage_agent_loop.py prepare-repair --manifest docs/orchestration/<stage_loop>.json
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```
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This writes `repair_iterations/<iteration_id>/repair_iteration_plan.json`, `repair_prompt.md`, and `repair_checklist.md`. The plan enriches GUI repair targets with candidate runtime files and rerun instructions, so the next coder pass can start from a bounded business defect instead of a full transcript archaeology dig.
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## Placeholder contract
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Scenario questions can reference earlier step outputs with placeholders such as:
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