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automotive-skills-suite/docs/skill-polish-log/dfmea-builder.md
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Automotive Skills Autonomous 04482aaf73 auto(polish): W22 #5 dfmea-builder pass, regen STATUS, journal
Autonomous daily run.
- dfmea-builder polish-log entry — read end-to-end, no .skill edits needed
- Description 672/1024 chars; frontmatter clean; AIAG-VDA 2019 framing correct
- Three low-priority polish ideas captured but deferred (not 'small obvious')
- STATUS.md regenerated: 76 builders / 76 reviewers / 100% paired
- W22 polish phase now covers all 5 targets (uds, hara, cs-concept, aspice, dfmea)

Generated by automotive-skills-daily-standup scheduled task.
2026-05-27 11:05:58 +00:00

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Raw Blame History

Polish log — dfmea-builder.skill

2026-05-27 (W22 #5 POLISH pass)

Mode: read-only review (no edits to .skill applied) Tracker: issue #12

What's good

  • Frontmatter clean. name and description both present; description is 672 chars (well under the 1024 hard cap, plenty of headroom for future trigger phrasings).
  • Description trigger surface is broad and concrete. Covers the exact deliverable (AIAG-VDA 2019 Design FMEA workbook), the methodology distinction (7-step process, Action Priority lookup, NOT RPN multiplication), the visible outputs (12-tab xlsx, color-coded AP cells), and a "use this instead of freeform" assertion. Should fire reliably on "DFMEA", "Design FMEA", "AIAG-VDA", and adjacent phrasings.
  • AIAG-VDA 2019 alignment is correct. The replacement of classical RPN by the Action Priority lookup is the headline change in the 2019 harmonized edition, and the SKILL.md flags it prominently in both the description and the body.
  • Body is well-structured. Clear "When to use" list, JSON input example, 7-step walkthrough mapped to specific tabs, scripts invocation, analyst review checklist, output structure table (tabs 0011), AP formula spelled out, common pitfalls.
  • Bundled references are appropriate. Severity / Occurrence / Detection tables plus the AP lookup table plus a methodology doc — exactly the AIAG-VDA reference set an analyst would expect to consult while filling out the worksheet.
  • Examples directory has a realistic seed. sample_dfmea_input_esc.json (ESC ECU) matches the example file path referenced in the SKILL.md body — no broken link.

What to fix

Nothing critical. A few low-priority polish items noted for a future pass (NOT applied this run per the "small and shipped" rule):

  • Description could optionally add casual trigger phrasings in the style of fsc-builder and hara-builder (e.g., "even casual phrasings like 'I need a design FMEA for this ECU' or 'analyze the failure modes of my design'"). Current description trips on the literal terms but a casual phrase like "what could go wrong with this design" might miss. Low priority — most real users will say DFMEA explicitly. Defer.
  • AP rule in body is a simplified prose summary, not the full AIAG-VDA Table P.1. The bundled references/action_priority_table.md carries the authoritative table, so this is acceptable — the body is teaching intuition, not the contract. No fix.
  • "Lessons Learned cross-reference" in description vs "Lessons Learned & Crossref" in the tab listing — a minor naming inconsistency but both phrasings convey the same concept and the description form reads more naturally in prose. Defer.

Severity

Low. No blocking issues; no required frontmatter missing; no description overflow; no broken file references; no methodology errors. Skill is in production-ready shape. Re-touch only if a downstream classifier flags a miss on the casual-phrase trigger surface.

Suggested edits

None applied this pass. If a future pass wants to extend the description with casual triggers, it must stay under 1024 chars total (currently 672, so ~350 chars of headroom remain).