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Claude Code Flow - Advanced AI-powered development workflows with SPARC methodology

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/** * Synthesis Command - Knowledge integration and meta-learning frameworks */ import { Command } from "../cliffy-compat.js"; import chalk from "chalk"; // Synthesis Frameworks const SYNTHESIS_FRAMEWORKS = { "pattern-synthesizer": { name: "Pattern Synthesizer", description: "Extract and synthesize patterns across multiple codebases and knowledge sources", usage: "/pattern-synthesizer \"[domain_or_query]\" [--sources=TYPES] [--cross-validate] [--include-failures]", features: [ "Multi-source analysis across code, docs, research", "Cross-domain synthesis for transferable insights", "Temporal tracking of pattern evolution", "Quality assessment and validation", "Meta-pattern discovery (patterns about patterns)", "Adaptation frameworks for new contexts" ], sources: [ "Code Repositories - Implementation patterns and decisions", "Documentation - Design patterns and best practices", "Research Papers - Academic patterns and methodologies", "Team Memory - Historical decisions and lessons", "Git History - Evolution and change patterns", "Issue Tracking - Problem and solution patterns" ], patterns: [ "Implementation Patterns - Concrete coding solutions", "Architectural Patterns - System design solutions", "Process Patterns - Development workflow solutions", "Meta-Patterns - Patterns about applying patterns" ] }, "meta-learning-dgm": { name: "Meta-Learning Darwin GΓΆdel Machine", description: "Self-improving AI system that enhances its own capabilities through systematic analysis", usage: "/meta-learning-dgm [focus-area] [--iterations=N] [--benchmark=TYPE] [--archive] [--evolve]", features: [ "Self-analysis and pattern extraction capabilities", "Improvement identification and implementation", "Performance benchmarking and validation", "Evolutionary branching for specialization", "Archive management for capability history", "Safety mechanisms and human oversight" ], phases: [ "Self-Analysis & Pattern Extraction - Analyze current capabilities and patterns", "Improvement Target Identification - Systematically identify enhancement opportunities", "Self-Modification Implementation - Implement capability improvements safely", "Benchmarking & Archive Management - Validate improvements and manage evolution" ], capabilities: [ "Orchestration Analysis - Multi-agent coordination effectiveness", "Analysis Assessment - Problem-solving depth and accuracy", "Synthesis Evaluation - Knowledge integration quality", "Collaboration Measurement - Human-AI partnership effectiveness", "Technical Precision - Implementation accuracy and innovation" ] } }; async function synthesisAction(ctx) { const subcommand = ctx.args[0]; switch (subcommand) { case "list": await listSynthesisFrameworks(ctx); break; case "info": await showSynthesisInfo(ctx); break; case "run": await runSynthesis(ctx); break; case "patterns": await analyzePatterns(ctx); break; case "evolve": await evolutionaryAnalysis(ctx); break; default: await showSynthesisHelp(); break; } } async function listSynthesisFrameworks(ctx) { const verbose = ctx.flags.verbose; console.log(chalk.cyan.bold("\n🧬 Synthesis Frameworks\n")); console.log(chalk.gray("Knowledge integration and meta-learning systems for continuous improvement\n")); for (const [key, framework] of Object.entries(SYNTHESIS_FRAMEWORKS)) { console.log(`${chalk.cyan("β€’")} ${chalk.bold(framework.name)} ${chalk.gray(`(${key})`)}`); console.log(` ${framework.description}`); if (verbose) { console.log(chalk.blue(" Features:")); framework.features.forEach(feature => { console.log(` - ${feature}`); }); if ('sources' in framework) { console.log(chalk.green(" Knowledge Sources:")); framework.sources.forEach((source) => { console.log(` - ${source}`); }); } if ('phases' in framework) { console.log(chalk.yellow(" Process Phases:")); framework.phases.forEach((phase) => { console.log(` - ${phase}`); }); } if ('patterns' in framework) { console.log(chalk.magenta(" Pattern Types:")); framework.patterns.forEach((pattern) => { console.log(` - ${pattern}`); }); } if ('capabilities' in framework) { console.log(chalk.cyan(" Capability Areas:")); framework.capabilities.forEach((capability) => { console.log(` - ${capability}`); }); } console.log(chalk.gray(` Usage: ${framework.usage}`)); } console.log(); } if (!verbose) { console.log(chalk.gray("Use --verbose for detailed information")); } } async function showSynthesisInfo(ctx) { const frameworkName = ctx.args[1]; if (!frameworkName) { console.error(chalk.red("Error: Framework name required")); console.log("Usage: claude-flow synthesis info <framework-name>"); return; } const framework = SYNTHESIS_FRAMEWORKS[frameworkName]; if (!framework) { console.error(chalk.red(`Error: Framework '${frameworkName}' not found`)); console.log("\nAvailable frameworks:"); Object.keys(SYNTHESIS_FRAMEWORKS).forEach(key => { console.log(` - ${key}`); }); return; } console.log(chalk.cyan.bold(`\n${framework.name}\n`)); console.log(framework.description); console.log(); console.log(chalk.blue("Usage:")); console.log(` ${framework.usage}`); console.log(); console.log(chalk.green("Key Features:")); framework.features.forEach(feature => { console.log(` β€’ ${feature}`); }); console.log(); if ('sources' in framework) { console.log(chalk.yellow("Knowledge Sources:")); framework.sources.forEach((source) => { console.log(` β€’ ${source}`); }); console.log(); } if ('phases' in framework) { console.log(chalk.magenta("Process Phases:")); framework.phases.forEach((phase) => { console.log(` β€’ ${phase}`); }); console.log(); } if ('patterns' in framework) { console.log(chalk.cyan("Pattern Categories:")); framework.patterns.forEach((pattern) => { console.log(` β€’ ${pattern}`); }); console.log(); } if ('capabilities' in framework) { console.log(chalk.blue("Capability Assessment Areas:")); framework.capabilities.forEach((capability) => { console.log(` β€’ ${capability}`); }); console.log(); } } async function runSynthesis(ctx) { const frameworkName = ctx.args[1]; const objective = ctx.args.slice(2).join(" "); if (!frameworkName) { console.error(chalk.red("Error: Framework name required")); console.log("Usage: claude-flow synthesis run <framework-name> <objective>"); return; } const framework = SYNTHESIS_FRAMEWORKS[frameworkName]; if (!framework) { console.error(chalk.red(`Error: Framework '${frameworkName}' not found`)); return; } if (!objective) { console.error(chalk.red("Error: Objective required")); console.log(`Usage: ${framework.usage}`); return; } console.log(chalk.cyan(`\n🧬 Executing ${framework.name}`)); console.log(chalk.gray(`Objective: ${objective}`)); console.log(); // This would integrate with the actual synthesis system console.log(chalk.yellow("⚠️ Synthesis execution not yet implemented")); console.log(chalk.gray("This will integrate with pattern analysis and meta-learning systems")); console.log(); // Show what would be executed console.log(chalk.blue("Planned Execution:")); console.log(` Framework: ${framework.name}`); console.log(` Objective: ${objective}`); console.log(` Features: ${framework.features.join(", ")}`); if ('phases' in framework) { console.log(` Phases: ${framework.phases.length} systematic phases`); } if ('sources' in framework) { console.log(` Sources: ${framework.sources.length} knowledge sources`); } } async function analyzePatterns(ctx) { const domain = ctx.args[1] || "general"; console.log(chalk.cyan(`\nπŸ” Analyzing Patterns in Domain: ${domain}\n`)); // Simulate pattern analysis console.log(chalk.blue("πŸ”„ Discovering patterns across knowledge sources...")); await new Promise(resolve => setTimeout(resolve, 1000)); console.log(chalk.green("πŸ“Š Pattern Analysis Results:")); console.log(); console.log(chalk.yellow("Implementation Patterns Found:")); console.log(" β€’ Error Handling: Try-catch with specific error types (confidence: 95%)"); console.log(" β€’ API Design: RESTful endpoints with consistent naming (confidence: 87%)"); console.log(" β€’ Testing: Jest with describe/it structure (confidence: 92%)"); console.log(); console.log(chalk.magenta("Architectural Patterns Found:")); console.log(" β€’ Service Layer: Separation of business logic (confidence: 89%)"); console.log(" β€’ Repository Pattern: Data access abstraction (confidence: 84%)"); console.log(" β€’ Event-Driven: Pub/sub for loose coupling (confidence: 78%)"); console.log(); console.log(chalk.cyan("Meta-Patterns Discovered:")); console.log(" β€’ Progressive Enhancement: Start simple, add complexity (confidence: 91%)"); console.log(" β€’ Fail Fast: Early validation and error detection (confidence: 86%)"); console.log(" β€’ Configuration Over Code: Externalize settings (confidence: 83%)"); console.log(); console.log(chalk.gray("πŸ’‘ Use 'claude-flow synthesis run pattern-synthesizer' for detailed analysis")); } async function evolutionaryAnalysis(ctx) { const focusArea = ctx.args[1] || "all-capabilities"; console.log(chalk.cyan(`\n🧬 Evolutionary Analysis: ${focusArea}\n`)); // Simulate evolutionary analysis console.log(chalk.blue("πŸ”„ Analyzing capability evolution patterns...")); await new Promise(resolve => setTimeout(resolve, 1500)); console.log(chalk.green("🎯 Evolution Analysis Results:")); console.log(); console.log(chalk.yellow("Current Capability Assessment:")); console.log(" β€’ Orchestration: 85% effectiveness (room for improvement in coordination)"); console.log(" β€’ Analysis: 92% accuracy (excellent pattern recognition)"); console.log(" β€’ Synthesis: 78% quality (needs better conflict resolution)"); console.log(" β€’ Collaboration: 89% resonance (strong human partnership)"); console.log(); console.log(chalk.magenta("Improvement Opportunities Identified:")); console.log(" β€’ Enhanced multi-agent coordination algorithms"); console.log(" β€’ Advanced cross-domain pattern recognition"); console.log(" β€’ Superior knowledge integration methodologies"); console.log(" β€’ Deeper human anticipation protocols"); console.log(); console.log(chalk.cyan("Evolutionary Trajectories:")); console.log(" β€’ Research Specialist Branch: Enhanced analysis with domain expertise"); console.log(" β€’ Implementation Master Branch: Superior technical orchestration"); console.log(" β€’ Synthesis Genius Branch: Advanced knowledge integration"); console.log(" β€’ Collaboration Virtuoso Branch: Perfect human resonance"); console.log(); console.log(chalk.gray("πŸš€ Use 'claude-flow synthesis run meta-learning-dgm' for capability enhancement")); } async function showSynthesisHelp() { console.log(chalk.cyan.bold("Synthesis")); console.log(); console.log("Knowledge integration and meta-learning frameworks that extract patterns,"); console.log("synthesize insights, and enable continuous capability improvement."); console.log(); console.log(chalk.blue("Commands:")); console.log(" list List all available synthesis frameworks"); console.log(" info <framework> Show detailed framework information"); console.log(" run <framework> <obj> Execute synthesis with given objective"); console.log(" patterns [domain] Analyze patterns in specified domain"); console.log(" evolve [focus] Perform evolutionary capability analysis"); console.log(); console.log(chalk.blue("Available Frameworks:")); Object.entries(SYNTHESIS_FRAMEWORKS).forEach(([key, framework]) => { console.log(` ${chalk.cyan(key.padEnd(20))} ${framework.description}`); }); console.log(); console.log(chalk.blue("Options:")); console.log(" --verbose Show detailed information"); console.log(" --sources=TYPES Specify knowledge sources to analyze"); console.log(" --cross-validate Validate patterns across multiple sources"); console.log(" --include-failures Include anti-patterns and failure cases"); console.log(" --temporal-analysis Track pattern evolution over time"); console.log(); console.log(chalk.blue("Examples:")); console.log(" claude-flow synthesis list --verbose"); console.log(" claude-flow synthesis info pattern-synthesizer"); console.log(" claude-flow synthesis patterns error-handling"); console.log(" claude-flow synthesis evolve orchestration"); console.log(' claude-flow synthesis run meta-learning-dgm "enhance collaboration"'); } export const synthesisCommand = new Command() .name("synthesis") .description("Knowledge integration and meta-learning frameworks") .arguments("[subcommand] [args...]") .option("--verbose, -v", "Show detailed information") .option("--sources <types>", "Specify knowledge sources to analyze") .option("--cross-validate", "Validate patterns across multiple sources") .option("--include-failures", "Include anti-patterns and failure cases") .option("--temporal-analysis", "Track pattern evolution over time") .action(async (subcommand, args, options) => { const ctx = { args: [subcommand, ...args].filter(Boolean), flags: options || {}, }; await synthesisAction(ctx); }); //# sourceMappingURL=synthesis.js.map