@sethdouglasford/claude-flow
Version:
Claude Code Flow - Advanced AI-powered development workflows with SPARC methodology
323 lines β’ 15.1 kB
JavaScript
/**
* 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𧬠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𧬠Executing ${framework.name}`));
console.log(chalk.gray(`Objective: ${objective}`));
console.log();
// This would integrate with the actual synthesis system
console.log(chalk.yellow("β οΈ 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(`\nπ Analyzing Patterns in Domain: ${domain}\n`));
// Simulate pattern analysis
console.log(chalk.blue("π Discovering patterns across knowledge sources..."));
await new Promise(resolve => setTimeout(resolve, 1000));
console.log(chalk.green("π 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("π‘ 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𧬠Evolutionary Analysis: ${focusArea}\n`));
// Simulate evolutionary analysis
console.log(chalk.blue("π Analyzing capability evolution patterns..."));
await new Promise(resolve => setTimeout(resolve, 1500));
console.log(chalk.green("π― 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("π 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