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feat: Implement multi-phase project analysis workflow with Mermaid diagram generation and CPCC compliance documentation
- Phase 3: Added Mermaid diagram generation for system architecture, function modules, algorithms, class diagrams, sequence diagrams, and error flows. - Phase 4: Assembled analysis and diagrams into a structured CPCC-compliant document with section templates and figure numbering. - Phase 5: Developed compliance review process with iterative refinement based on analysis findings and user feedback. - Added CPCC compliance requirements and quality standards for project analysis reports. - Established a comprehensive project analysis skill with detailed execution flow and report types. - Enhanced error handling and recovery mechanisms throughout the analysis phases.
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.claude/skills/project-analyze/phases/05-iterative-refinement.md
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.claude/skills/project-analyze/phases/05-iterative-refinement.md
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# Phase 5: Iterative Refinement
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Discovery-driven refinement based on analysis findings.
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## Execution
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### Step 1: Extract Discoveries
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```javascript
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function extractDiscoveries(deepAnalysis) {
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return {
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ambiguities: deepAnalysis.findings.filter(f => f.confidence < 0.7),
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complexityHotspots: deepAnalysis.findings.filter(f => f.complexity === 'high'),
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patternDeviations: deepAnalysis.patterns.filter(p => p.consistency < 0.8),
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unclearDependencies: deepAnalysis.dependencies.filter(d => d.type === 'implicit'),
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potentialIssues: deepAnalysis.recommendations.filter(r => r.priority === 'investigate'),
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depthOpportunities: deepAnalysis.sections.filter(s => s.has_more_detail)
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};
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}
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const discoveries = extractDiscoveries(deepAnalysis);
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```
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### Step 2: Build Dynamic Questions
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Questions emerge from discoveries, NOT predetermined:
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```javascript
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function buildDynamicQuestions(discoveries, config) {
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const questions = [];
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if (discoveries.ambiguities.length > 0) {
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questions.push({
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question: `Analysis found ambiguity in "${discoveries.ambiguities[0].area}". Which interpretation is correct?`,
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header: "Clarify",
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options: discoveries.ambiguities[0].interpretations
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});
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}
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if (discoveries.complexityHotspots.length > 0) {
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questions.push({
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question: `These areas have high complexity. Which would you like explained?`,
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header: "Deep-Dive",
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multiSelect: true,
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options: discoveries.complexityHotspots.slice(0, 4).map(h => ({
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label: h.name,
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description: h.summary
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}))
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});
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}
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if (discoveries.patternDeviations.length > 0) {
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questions.push({
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question: `Found pattern deviations. Should these be highlighted in the report?`,
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header: "Patterns",
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options: [
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{label: "Yes, include analysis", description: "Add section explaining deviations"},
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{label: "No, skip", description: "Omit from report"}
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]
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});
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}
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// Always include action question
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questions.push({
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question: "How would you like to proceed?",
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header: "Action",
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options: [
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{label: "Continue refining", description: "Address more discoveries"},
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{label: "Finalize report", description: "Generate final output"},
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{label: "Change scope", description: "Modify analysis scope"}
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]
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});
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return questions.slice(0, 4); // Max 4 questions
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}
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```
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### Step 3: Apply Refinements
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```javascript
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if (userAction === "Continue refining") {
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// Apply selected refinements
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for (const selection of userSelections) {
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applyRefinement(selection, deepAnalysis, report);
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}
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// Save iteration
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Write(`${outputDir}/iterations/iteration-${iterationCount}.json`, {
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timestamp: new Date().toISOString(),
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discoveries: discoveries,
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selections: userSelections,
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changes: appliedChanges
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});
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// Loop back to Step 1
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iterationCount++;
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goto Step1;
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}
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if (userAction === "Finalize report") {
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// Proceed to final output
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goto FinalizeReport;
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}
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```
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### Step 4: Finalize Report
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```javascript
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// Add iteration history to report metadata
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const finalReport = {
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...report,
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metadata: {
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iterations: iterationCount,
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refinements_applied: allRefinements,
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final_discoveries: discoveries
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}
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};
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Write(`${outputDir}/${config.type.toUpperCase()}-REPORT.md`, finalReport);
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```
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## Output
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Updated report with refinements, saved iterations to `iterations/` folder.
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