← ClaudeAtlas

ve-skill-benchmark-adapterlisted

Benchmark community Claude Code, Codex, or AI-agent Skills and adapt their reusable patterns into automotive value-engineering Skill designs. Use when reviewing open-source Skill repositories, deciding whether to reuse an existing Skill structure, or converting a generic Skill into a VE/VAVE workflow with proper evidence, validation, and attribution.
onyx679/automotive-ve-ai-skills-kit · ★ 0 · AI & Automation · score 72
Install: claude install-skill onyx679/automotive-ve-ai-skills-kit
# VE Skill Benchmark Adapter Use this skill to adapt public Skill patterns into automotive value-engineering workflows without copying blindly. ## Inputs Accept any of: - Links or notes from open-source Skill repositories. - Existing `SKILL.md` files or Skill folder structures. - A target VE workflow such as BOM review, VAVE opportunity drafting, quote readiness, SOP writing, or adoption feedback. - Constraints from the target team: data sensitivity, review owner, output format, and validation method. ## Workflow 1. Identify the source Skill's reusable pattern: interview workflow, checklist, scoring rubric, document generator, evidence auditor, CLI script, or reference library. 2. Separate reusable structure from domain-specific content. 3. Map the reusable structure to one narrow VE workflow. 4. Decide the adaptation depth: - `reference-only`: use as inspiration, no direct content reuse. - `structure-reuse`: keep the folder/resource pattern but rewrite domain logic. - `script-adapt`: adapt code or command flow with tests and attribution. - `fork-contribute`: improve the upstream project with a PR before or alongside local reuse. 5. Add attribution boundaries: - keep license-compatible source links in project docs or PR notes; - do not claim original authorship for community patterns; - clearly state what was redesigned for VE/VAVE. 6. Define validation: - sample redacted input; - expected Markdown/CSV output; - unit or smoke test; - hum