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skill-adoption-feedbacklisted

Track AI Skill usage, user feedback, productivity impact, quality issues, and iteration priorities for internal business-process Skills. Use after piloting Claude Code, Codex, OpenCode, or similar agent Skills with business teams.
onyx679/automotive-ve-ai-skills-kit · ★ 0 · AI & Automation · score 70
Install: claude install-skill onyx679/automotive-ve-ai-skills-kit
# Skill Adoption Feedback Use this skill to turn scattered user feedback into an iteration plan and measurable adoption report. ## Inputs - Usage logs or manual usage counts. - User feedback forms. - Interview notes. - Before/after task-time samples. - Examples of good and bad Skill outputs. - Version history. ## Workflow 1. Segment feedback by user role and scenario. 2. Measure adoption: - Active users. - Usage count. - Repeat usage. - Task coverage. 3. Measure productivity: - Baseline time. - Skill-assisted time. - Rework count. - Output completeness. 4. Classify problems: - Trigger unclear. - Input hard to prepare. - Output format wrong. - Domain rule missing. - Hallucination or unsupported conclusion. - Permission or data-boundary issue. 5. Prioritize iterations by impact, frequency, risk, and effort. 6. Produce a version plan. ## Output ```markdown # Skill Adoption Report ## Executive Summary ## Adoption Metrics | Metric | Current | Baseline/Target | Trend | Notes | |---|---:|---:|---|---| ## Feedback Themes | Theme | User Role | Frequency | Example | Root Cause | |---|---|---:|---|---| ## Quality Issues | Issue | Severity | Evidence | Fix | |---|---|---|---| ## Iteration Backlog | Priority | Change | Expected Impact | Effort | Owner | |---|---|---|---|---| ## Next Pilot Plan ``` ## Quality Checks - Do not treat usage count alone as success. - Always include output quality and user trust. - Separate product iss