---

name: capture-answer description: "Ingests an expert's answers to an L2 questionnaire in the abap_wiki knowledge base: transforms the answers (filled in the interviews/ file or given verbally) into a canonical citable expert-answer (slices//inputs/expert-answers/), moves gaps to 'answered' and closes the questions. Use this skill when the owner/expert has answered the functional questions generated by research-l2."

Capture-answer - ingesting expert answers

The expert's answers close the residual load-bearing gaps that auto-research could not verify. They become canonical expert-answers (slices/<id>/inputs/expert-answers/), citable with cite-back in the functional sections; if they contradict the code they are marked [ANOMALY] (the raw/ source is never touched).

Procedure

1. Collect the answers. The expert has filled in the Expert answer blocks in the file slices/<id>/interviews/<date>-<slice>-<dest>.md, or has answered verbally. For each answer, identify the gap_id it refers to (these appear in the title of each questionnaire question, e.g. example-slice-g003).

2. Build the YAML payload output/l2/<slice-id>/answers-<date>.yaml:

   expert: user@example.com
   scope: "Trigger and purpose of the custom process"
   kind: clarification          # clarification | confirmation | correction | sign-off
   answers:
     - gaps: [example-slice-g001]
       text: |
         The program ZPROGRAM_BATCH feeds a business data flow used by the
         custom process for daily operational checks.
     - gaps: [example-slice-g003]
       text: |
         Launched by the batch job ZEXAMPLE_JOB_DAILY via an external scheduler,
         with an example technical schedule and variant.
     - gaps: [example-slice-g007]
       anomaly: true            # the answer contradicts the code: mark [ANOMALY]
       text: |
         The flag ZZSTATUS='X' should exclude returns, but the code includes it: known bug.
   

   A single text can answer multiple related gaps (gaps: [g1, g2]).

3. Ingest:

   .venv/Scripts/python core/src/tools/pipeline.py capture-answer --slice <slice-id> --file output/l2/<slice-id>/answers-<date>.yaml
   

   Creates slices/<id>/inputs/expert-answers/<date>-<slug>.md, moves the gaps to answered (with resolution_ref pointing to the expert-answer), closes the questions and records the evidence (source: expert). Regenerates gaps.yaml.

4. Verify and commit (manual - committing the answers is the user's responsibility):

   .venv/Scripts/python core/src/tools/pipeline.py l2-progress --slice <slice-id>
   .venv/Scripts/python core/src/tools/lint_wiki.py
   git add slices/<slice-id> state/ && git commit -m "L2 <slice-id>: expert answers"
   

When the PURPOSE/TRIGGER gaps are closed [VERIFIED]/answered and the load-bearing ones are resolved, the slice is ready for functional synthesis + L2 gate (Phase 4).

Rules

• Do not invent answers: capture-answer ingests ONLY what the expert said.
• [ANOMALY] signals a contradiction with the code; it never modifies raw/.
• The expert-answer is citable ([VERIFIED: slices/<id>/inputs/expert-answers/<file>:N-M]); the interview (interviews/) is NOT: it contains questions, not evidence.
• No auto-commit: committing is the user's responsibility.