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enhance-orchestrator
Use when coordinating multiple enhancers for /enhance command. Runs analyzers in parallel and produces unified report.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
메뉴
Use when coordinating multiple enhancers for /enhance command. Runs analyzers in parallel and produces unified report.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Use when user asks to "discover tasks", "find next task", "prioritize issues", "what should I work on", or "list open issues". Discovers and ranks tasks from GitHub, GitLab, local files, and custom sources.
Use when preparing releases, validating cross-platform compatibility, or updating installation infrastructure. Meta-skill for maintaining AgentSys's 3-platform architecture.
Use when user asks to "run repo intel", "generate repo map", "analyze repo", "query hotspots", "check ownership", or "bus factor". Unified static analysis - git history, AST symbols, project metadata.
Use when mapping code paths, entrypoints, and likely hot files before profiling.
Use when generating performance hypotheses backed by git history and code evidence.
Cross-tool AI consultation. Use when user asks to 'consult gemini', 'ask codex', 'get second opinion', 'cross-check with claude', 'consult another AI', 'ask opencode', 'copilot opinion', or wants a second opinion from a different AI tool.
| name | enhance-orchestrator |
| description | Use when coordinating multiple enhancers for /enhance command. Runs analyzers in parallel and produces unified report. |
| version | 5.1.0 |
| argument-hint | [path] [--apply] [--focus=TYPE] |
Coordinate all enhancement analyzers in parallel and produce a unified report.
const args = '$ARGUMENTS'.split(' ').filter(Boolean);
const targetPath = args.find(a => !a.startsWith('--')) || '.';
const flags = {
apply: args.includes('--apply'),
focus: args.find(a => a.startsWith('--focus='))?.split('=')[1],
verbose: args.includes('--verbose'),
showSuppressed: args.includes('--show-suppressed'),
resetLearned: args.includes('--reset-learned'),
noLearn: args.includes('--no-learn'),
exportLearned: args.includes('--export-learned')
};
// Validate focus type
const VALID_FOCUS = ['plugin', 'agent', 'claudemd', 'claude-memory', 'docs', 'prompt', 'hooks', 'skills', 'cross-file'];
if (flags.focus && !VALID_FOCUS.includes(flags.focus)) {
console.error(`Invalid --focus: "${flags.focus}". Valid: ${VALID_FOCUS.join(', ')}`);
return;
}
Detect what exists in target path:
const discovery = {
plugins: await Glob({ pattern: 'plugins/*/.claude-plugin/plugin.json', path: targetPath }),
agents: await Glob({ pattern: '**/agents/*.md', path: targetPath }),
claudemd: await Glob({ pattern: '**/CLAUDE.md', path: targetPath }) ||
await Glob({ pattern: '**/AGENTS.md', path: targetPath }),
docs: await Glob({ pattern: 'docs/**/*.md', path: targetPath }),
prompts: await Glob({ pattern: '**/prompts/**/*.md', path: targetPath }) ||
await Glob({ pattern: '**/commands/**/*.md', path: targetPath }),
hooks: await Glob({ pattern: '**/hooks/**/*.md', path: targetPath }),
skills: await Glob({ pattern: '**/skills/**/SKILL.md', path: targetPath }),
// Cross-file runs if agents OR skills exist (analyzes relationships)
'cross-file': discovery.agents?.length || discovery.skills?.length ? ['enabled'] : []
};
// Use relative path from skill directory to plugin lib
// Path: skills/enhance-orchestrator/ -> ../../lib/
const { getSuppressionPath } = require('../../lib/cross-platform');
const { loadAutoSuppressions, getProjectId, clearAutoSuppressions } = require('../../lib/enhance/auto-suppression');
const suppressionPath = getSuppressionPath();
const projectId = getProjectId(targetPath);
if (flags.resetLearned) {
clearAutoSuppressions(suppressionPath, projectId);
console.log(`Cleared suppressions for project: ${projectId}`);
}
const autoLearned = loadAutoSuppressions(suppressionPath, projectId);
CRITICAL: MUST spawn these EXACT agents using Task(). Do NOT use Explore or other agents.
| Focus Type | Agent to Spawn | Model | JS Analyzer |
|---|---|---|---|
plugin | plugin-enhancer | sonnet | lib/enhance/plugin-analyzer.js |
agent | agent-enhancer | opus | lib/enhance/agent-analyzer.js |
claudemd | claudemd-enhancer | opus | lib/enhance/projectmemory-analyzer.js |
docs | docs-enhancer | opus | lib/enhance/docs-analyzer.js |
prompt | prompt-enhancer | opus | lib/enhance/prompt-analyzer.js |
hooks | hooks-enhancer | opus | lib/enhance/hook-analyzer.js |
skills | skills-enhancer | opus | lib/enhance/skill-analyzer.js |
cross-file | cross-file-enhancer | sonnet | lib/enhance/cross-file-analyzer.js |
Each agent has Bash(node:*) to run its JS analyzer. Do NOT substitute with Explore agents.
// EXACT agent mapping - do not change
const ENHANCER_AGENTS = {
plugin: 'plugin-enhancer',
agent: 'agent-enhancer',
claudemd: 'claudemd-enhancer',
docs: 'docs-enhancer',
prompt: 'prompt-enhancer',
hooks: 'hooks-enhancer',
skills: 'skills-enhancer',
'cross-file': 'cross-file-enhancer'
};
const promises = [];
for (const [type, agentType] of Object.entries(ENHANCER_AGENTS)) {
if (focus && focus !== type) continue;
if (!discovery[type]?.length) continue;
// MUST use exact subagent_type - these agents have Bash(node:*) to run JS analyzers
promises.push(Task({
subagent_type: agentType,
prompt: `Analyze ${type} in ${targetPath}.
MUST use Skill tool to invoke your enhance-* skill.
The skill runs the JavaScript analyzer and returns structured findings.
verbose: ${flags.verbose}
Return JSON: { "enhancerType": "${type}", "findings": [...], "summary": { high, medium, low } }`
}));
}
// MUST use Promise.all for parallel execution
const results = await Promise.all(promises);
function aggregateResults(enhancerResults) {
const findings = [];
const byEnhancer = {};
for (const result of enhancerResults) {
if (!result?.findings) continue;
for (const finding of result.findings) {
findings.push({ ...finding, source: result.enhancerType });
}
byEnhancer[result.enhancerType] = result.summary;
}
return {
findings,
byEnhancer,
totals: {
high: findings.filter(f => f.certainty === 'HIGH').length,
medium: findings.filter(f => f.certainty === 'MEDIUM').length,
low: findings.filter(f => f.certainty === 'LOW').length
}
};
}
Generate report directly from aggregated findings:
const { generateReport } = require('../../lib/enhance/reporter');
const report = generateReport(aggregated, {
verbose: flags.verbose,
showAutoFixable: flags.apply
});
console.log(report);
if (!flags.noLearn) {
const { analyzeForAutoSuppression, saveAutoSuppressions } = require('../../lib/enhance/auto-suppression');
const newSuppressions = analyzeForAutoSuppression(aggregated.findings, fileContents, { projectRoot: targetPath });
if (newSuppressions.length > 0) {
saveAutoSuppressions(suppressionPath, projectId, newSuppressions);
console.log(`\nLearned ${newSuppressions.length} new suppressions.`);
}
}
if (flags.apply) {
const autoFixable = aggregated.findings.filter(f => f.certainty === 'HIGH' && f.autoFixable);
if (autoFixable.length > 0) {
console.log(`\n## Applying ${autoFixable.length} Auto-Fixes\n`);
const byEnhancer = {};
for (const fix of autoFixable) {
const type = fix.source;
if (!byEnhancer[type]) byEnhancer[type] = [];
byEnhancer[type].push(fix);
}
for (const [type, fixes] of Object.entries(byEnhancer)) {
await Task({
subagent_type: enhancerAgents[type],
prompt: `Apply HIGH certainty fixes: ${JSON.stringify(fixes, null, 2)}`
});
}
console.log(`Applied ${autoFixable.length} fixes.`);
}
}
# Enhancement Analysis Report
**Target**: {targetPath}
**Date**: {timestamp}
**Enhancers Run**: {list}
## Executive Summary
| Enhancer | HIGH | MEDIUM | LOW | Auto-Fixable |
|----------|------|--------|-----|--------------|
| plugin | 2 | 3 | 1 | 1 |
| agent | 1 | 2 | 0 | 1 |
| **Total**| **3**| **5** | **1**| **2** |
## HIGH Certainty Issues
[Grouped by enhancer, then file]
## MEDIUM Certainty Issues
[...]
## Auto-Fix Summary
{n} issues can be fixed with `--apply` flag.