feat(analyzer): add A+B+C value enhancement to Stage 1#3
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sungmanch merged 5 commits intonextjs-migrationfrom Jan 17, 2026
Merged
feat(analyzer): add A+B+C value enhancement to Stage 1#3sungmanch merged 5 commits intonextjs-migrationfrom
sungmanch merged 5 commits intonextjs-migrationfrom
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Stage 1 Data Analyst now provides richer, more actionable analysis: **A: Context Analysis** - Each quote includes: - situationType: what the developer was doing (debugging, feature_building, etc.) - trigger: what prompted the behavior (time_pressure, complexity, etc.) - outcome: what resulted (successful, unsuccessful, etc.) **B: Personalized Priorities** - Top 3 focus areas with: - Priority scoring formula: frequency(0.25) + impact(0.30) + potential(0.25) + relevance(0.20) - Rationale explaining why this matters for THIS developer - Related cluster IDs for evidence mapping **C: Why Analysis** - Deep insight for each quote: - rootCause: why the behavior occurred - implication: what it means for growth - growthSignal: deliberate/reactive/habitual **ClusterId-based Matching** - Fixed quote duplication bug: - Stage 1 assigns unique clusterId to each quote - Post-processing maps quotes to sections via clusterId - Each section now shows distinct, relevant quotes Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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Stage 1's personalizedPriorities was being generated but had no corresponding output field in VerboseLLMResponse. This fix adds: - TopFocusAreaSchema: rank, dimension, title, narrative, expectedImpact, priorityScore, actions (START/STOP/CONTINUE) - TopFocusAreasSchema: areas array + summary - topFocusAreas field in VerboseLLMResponse and VerboseEvaluation - Fallback conversion in content-writer.ts if LLM doesn't generate This ensures Stage 1's Top 3 personalized priorities flow through to the final report. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
…isplay Three-stage pipeline enhancement: - Module A (Data Analyst): Extract structured behavioral data - Module B (Personality Analyst): Extract personality profile for storytelling - Stage 2 (Content Writer): Transform using both outputs for personalized narrative CLI improvements: - Replace simple ora spinner with rich ProgressDisplay class - Show rotating detailed analysis messages with progress bar - Display elapsed time and analysis phase indicators API route improvements: - Add rotating detailed progress messages (42-84% with specific stages) - Reduce heartbeat interval from 5s to 3s for better engagement Content gateway: - Add personalityInsights to premium tier - Add preview teaser for free tier Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Module B personality analysis - Rich progress display - A+B+C value enhancement Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Update documentation to match the actual implementation: - Two-Stage → Three-Stage Pipeline - Added Module B (Personality Analyst) description - Updated environment variable description Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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Merge pull request #3 from sungmanch/feat/stage1-value-enhancement
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Summary
Stage 1 Data Analyst에 A+B+C 가치 향상을 추가하여 더 깊고 실행 가능한 분석을 제공합니다.
Changes
analysis-data.tsdata-analyst-prompts.tscontent-writer-prompts.tscontent-writer.tsTest plan
npm run build)npm test)/noslopcommand to verify:🤖 Generated with Claude Code