About enhance-orchestrator
enhance-orchestrator coordinates enhancement analyzers and combines their results for maintainers reviewing plugins, agents, documentation, and other project content. It discovers available content types, runs matching analyzers in parallel, and only applies high-certainty fixes when explicitly requested.
Key features
- 01Discover existing project content types
- 02Run applicable enhancement analyzers in parallel
- 03Aggregate and deduplicate findings
- 04Order issues by certainty
- 05Apply high-certainty fixes only with --apply
Use cases
- 01Analyze project plugins, agents, and documentation in parallel
- 02Combine findings from multiple analyzers
- 03Apply high-certainty automatic fixes after explicit consent
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ agent-sh/ agentsys --skill enhance-orchestratorAfter installing, type/enhance-orchestratorin Claude Code to confirm it loaded.
Details
From the project READMEenhance-orchestrator
Coordinate all enhancement analyzers in parallel and produce a unified report.
Critical Rules
- MUST run enhancers in parallel - Use Promise.all for efficiency
- MUST only run enhancers for existing content - Skip if no files found
- MUST report HIGH certainty first - Priority order: HIGH → MEDIUM → LOW
- NEVER auto-fix without --apply flag - Explicit consent required
- NEVER auto-fix MEDIUM or LOW issues - Only HIGH certainty
Workflow
Phase 1: Parse Arguments
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;
}
Phase 2: Discovery
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'] : []
};
Phase 3: Load Suppressions
// 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);
Phase 4: Launch Enhancers in Parallel
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);
Phase 5: Aggregate Results
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
}
};
}
Phase 6: Generate Report
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);
Phase 7: Auto-Learning
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.`);
}
}
Phase 8: Apply Fixes
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.`);
}
}
Output Format
# 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.
Constraints
- MUST run enhancers in parallel (Promise.all)
- MUST skip enhancers for missing content types
- MUST report HIGH certainty issues first
- MUST deduplicate findings across enhancers
- NEVER auto-fix without explicit --apply flag
- NEVER auto-fix MEDIUM or LOW certainty issues