mikeparcewski/synthesize
skills/product/synthesize/SKILL.md
Generate actionable recommendations from customer voice insights. This skill should be used when the user needs to translate analyzed feedback into product priorities, feature recommendations, or strategic guidance. Use when: "recommendations from feedback", "translate feedback to priorities", "feature priorities from customer data", "synthesize feedback into action"
$ install --global
skillsauthnpx skillsauth add mikeparcewski/wicked-garden synthesizeInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Last scanned: May 8, 2026, 5:55 AM221.6s3 files scanned
SKILL.md
- name:
- synthesize
- description:
- |
- Use when:
- recommendations from feedback", "translate feedback to priorities",
- phase_relevance:
- ["clarify", "design", "review"]
- archetype_relevance:
- ["*"]
Synthesize Skill
Transform customer voice analysis into actionable product recommendations.
When to Use
- After analyzing customer feedback
- Product planning or roadmap prioritization
- Feature decision support
- User asks "what should we build based on customer feedback"
Usage
# Synthesize all recent insights
/wicked-garden:product:synthesize
# Prioritize by impact level
/wicked-garden:product:synthesize --priority high
# Feature-specific synthesis
/wicked-garden:product:synthesize --feature "mobile-app"
# Brief format (for quick decisions)
/wicked-garden:product:synthesize --format brief
Synthesis Framework
1. Insight Extraction
Identify: Pain Points, Opportunities, Risks, Strengths
2. Recommendation Generation
Score = (Customer_Value × Urgency) / Effort See refs/prioritization.md for detailed scoring.
3. Customer Journey Mapping
Map feedback across: Awareness → Evaluation → Onboarding → Adoption → Retention → Advocacy See refs/journey-mapping.md for stage analysis.
4. Priority Levels
- P0: Churn risk, blocker, security
- P1: Major friction, competitive gap
- P2: Enhancement, efficiency
- P3: Nice-to-have, edge case
Output Format
## Customer Voice Synthesis: {Context}
### Executive Summary
{2-3 sentences on what customers need most}
### Top Recommendations
1. **{Recommendation}** - {Priority}
- Impact: {HIGH/MEDIUM/LOW}
- Evidence: {N} mentions, {sentiment}, {trend}
- Action: {specific what to do}
- Effort: {LOW/MEDIUM/HIGH}
{Top 3-5 recommendations}
### Customer Journey Insights
- **Onboarding**: {key pain point or win}
- **Adoption**: {key pain point or win}
- **Retention**: {key pain point or win}
### Strategic Considerations
- **Strengths**: {what to maintain}
- **Risks**: {what threatens retention}
- **Opportunities**: {what could differentiate}
### Quick Wins
{1-3 low-effort, high-impact improvements}
### Long-term Bets
{1-2 strategic investments based on customer needs}
Synthesis Process
- Load theme and sentiment analysis from the product voice analysis directory (resolved via
resolve_path.py wicked-garden:product) - Sort themes by priority score, filter by threshold
- Generate recommendations: theme → action, score by impact/effort
- Map to customer journey stages, identify friction points
- Format output: executive summary first, top 3-5 recommendations
Integration
wicked-crew: Auto-inject synthesis into product:requirements:started events
wicked-brain:memory: Store high-priority insights as decision memories
Native tasks: Link recommendations to roadmap tasks via TaskCreate with metadata.event_type="task"
Rules
- Maximum 5 recommendations (context efficiency)
- Always include effort estimates
- Provide confidence levels (HIGH/MEDIUM/LOW)
- Cite supporting evidence (N mentions, sentiment)
- Distinguish quick wins from strategic bets
- Keep output under 1000 words
- Be honest about unknowns and limitations
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