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- 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.
3.3 KiB
3.3 KiB
Phase 5: Iterative Refinement
Discovery-driven refinement based on analysis findings.
Execution
Step 1: Extract Discoveries
function extractDiscoveries(deepAnalysis) {
return {
ambiguities: deepAnalysis.findings.filter(f => f.confidence < 0.7),
complexityHotspots: deepAnalysis.findings.filter(f => f.complexity === 'high'),
patternDeviations: deepAnalysis.patterns.filter(p => p.consistency < 0.8),
unclearDependencies: deepAnalysis.dependencies.filter(d => d.type === 'implicit'),
potentialIssues: deepAnalysis.recommendations.filter(r => r.priority === 'investigate'),
depthOpportunities: deepAnalysis.sections.filter(s => s.has_more_detail)
};
}
const discoveries = extractDiscoveries(deepAnalysis);
Step 2: Build Dynamic Questions
Questions emerge from discoveries, NOT predetermined:
function buildDynamicQuestions(discoveries, config) {
const questions = [];
if (discoveries.ambiguities.length > 0) {
questions.push({
question: `Analysis found ambiguity in "${discoveries.ambiguities[0].area}". Which interpretation is correct?`,
header: "Clarify",
options: discoveries.ambiguities[0].interpretations
});
}
if (discoveries.complexityHotspots.length > 0) {
questions.push({
question: `These areas have high complexity. Which would you like explained?`,
header: "Deep-Dive",
multiSelect: true,
options: discoveries.complexityHotspots.slice(0, 4).map(h => ({
label: h.name,
description: h.summary
}))
});
}
if (discoveries.patternDeviations.length > 0) {
questions.push({
question: `Found pattern deviations. Should these be highlighted in the report?`,
header: "Patterns",
options: [
{label: "Yes, include analysis", description: "Add section explaining deviations"},
{label: "No, skip", description: "Omit from report"}
]
});
}
// Always include action question
questions.push({
question: "How would you like to proceed?",
header: "Action",
options: [
{label: "Continue refining", description: "Address more discoveries"},
{label: "Finalize report", description: "Generate final output"},
{label: "Change scope", description: "Modify analysis scope"}
]
});
return questions.slice(0, 4); // Max 4 questions
}
Step 3: Apply Refinements
if (userAction === "Continue refining") {
// Apply selected refinements
for (const selection of userSelections) {
applyRefinement(selection, deepAnalysis, report);
}
// Save iteration
Write(`${outputDir}/iterations/iteration-${iterationCount}.json`, {
timestamp: new Date().toISOString(),
discoveries: discoveries,
selections: userSelections,
changes: appliedChanges
});
// Loop back to Step 1
iterationCount++;
goto Step1;
}
if (userAction === "Finalize report") {
// Proceed to final output
goto FinalizeReport;
}
Step 4: Finalize Report
// Add iteration history to report metadata
const finalReport = {
...report,
metadata: {
iterations: iterationCount,
refinements_applied: allRefinements,
final_discoveries: discoveries
}
};
Write(`${outputDir}/${config.type.toUpperCase()}-REPORT.md`, finalReport);
Output
Updated report with refinements, saved iterations to iterations/ folder.