worker-benchmarks
Skill2 starsChanged 7 months agoMITView on GitHub
Run comprehensive worker system benchmarks and performance analysis
We split this skill into the rules it gives an agent
1 rule. 1 is common, 0 are distinctive, and 0 are very specific to this project.
1
Common
Most of the 6 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Common: line 15
Run comprehensive performance benchmarks for the agentic-flow worker system.
“Common” is measured: kept by at least 6 in 10 of the 6 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Worker Benchmarks Skill
Run comprehensive performance benchmarks for the agentic-flow worker system.
Quick Start
# Run full benchmark suite
npx agentic-flow workers benchmark
# Run specific benchmark
npx agentic-flow workers benchmark --type trigger-detection
npx agentic-flow workers benchmark --type registry
npx agentic-flow workers benchmark --type agent-selection
npx agentic-flow workers benchmark --type concurrentBenchmark Types
1. Trigger Detection (trigger-detection)
Tests keyword detection speed across 12 worker triggers.
- Target: p95 < 5ms
- Iterations: 1000
- Metrics: latency, throughput, histogram
2. Worker Registry (registry)
Tests CRUD operations on worker entries.
- Target: p95 < 10ms
- Iterations: 500 creates, gets, updates
- Metrics: per-operation latency breakdown
3. Agent Selection (agent-selection)
Tests performance-based agent selection.
- Target: p95 < 1ms
- Iterations: 1000
- Metrics: selection confidence, agent scores
4. Model Cache (cache)
Tests model caching performance.
- Target: p95 < 0.5ms
- Metrics: hit rate, cache size, eviction stats
5. Concurrent Workers (concurrent)
Tests parallel worker creation and updates.
- Target: < 1000ms for 10 workers
- Metrics: per-worker latency, memory usage
6. Memory Key Generation (memory-keys)
Tests memory pattern key generation.
- Target: p95 < 0.1ms
- Iterations: 5000
- Metrics: unique patterns, throughput
Output Format
═══════════════════════════════════════════════════════════
📈 BENCHMARK RESULTS
═══════════════════════════════════════════════════════════
✅ Trigger Detection
Operation: detect
Count: 1,000
Avg: 0.045ms | p95: 0.120ms (target: 5ms)
Throughput: 22,222 ops$s
Memory Δ: 0.12MB
✅ Worker Registry
Operation: crud
Count: 1,500
Avg: 1.234ms | p95: 3.456ms (target: 10ms)
Throughput: 810 ops$s
Memory Δ: 2.34MB
───────────────────────────────────────────────────────────
📊 SUMMARY
───────────────────────────────────────────────────────────
Total Tests: 6
Passed: 6 | Failed: 0
Avg Latency: 0.567ms
Total Duration: 2345ms
Peak Memory: 8.90MB
═══════════════════════════════════════════════════════════Integration with Settings
Benchmark thresholds are configured in .claude$settings.json:
{
"performance": {
"benchmarkThresholds": {
"triggerDetection": { "p95Ms": 5 },
"workerRegistry": { "p95Ms": 10 },
"agentSelection": { "p95Ms": 1 },
"memoryKeyGeneration": { "p95Ms": 0.1 },
"concurrentWorkers": { "totalMs": 1000 }
}
}
}Programmatic Usage
import { workerBenchmarks, runBenchmarks } from 'agentic-flow$workers$worker-benchmarks';
// Run full suite
const suite = await runBenchmarks();
console.log(suite.summary);
// Run individual benchmarks
const triggerResult = await workerBenchmarks.benchmarkTriggerDetection(1000);
const registryResult = await workerBenchmarks.benchmarkRegistryOperations(500);Performance Optimization Tips
- Model Cache: Enable with
CLAUDE_FLOW_MODEL_CACHE_MB=512 - Parallel Workers: Enable with
CLAUDE_FLOW_WORKER_PARALLEL=true - Warning Suppression: Enable with
CLAUDE_FLOW_SUPPRESS_WARNINGS=true - SQLite WAL Mode: Automatic for better concurrent performance
Trending
Steady: 0 new projects took it in the last 4 weeks, none the 4 weeks before.thin data
Other versions9 projects use a version of this.
Word for word · 3
- ruvnet/claude-flow★ 80k100% same
- ruvnet/ruflo★ 79k100% same
- Soulcynics404/AgentForge★ 1100% same
Edited · 6
- ishandutta2007/claude-agent-orchestration★ 11100% same
- frankxai/agentic-creator-os★ 10100% same
- nbossn/claude-code-base★ 2100% same
- fidgetcoding/fidgetflo★ 196% same
- jpoindexter/theft-kit★ 198% same
- tuliosalustiano27/Skills_Claude_Code★ 198% same
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository139 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- v2/CLAUDE.mdCLAUDE.md
- v3/CLAUDE.mdCLAUDE.md
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- agent-neural-networkSkill
- agent-ops-cicd-githubSkill
- agent-orchestrator-taskSkill
- agent-pagerank-analyzerSkill
- agent-paymentsSkill
- agent-performance-analyzerSkill
- agent-performance-benchmarkerSkill
- agent-performance-monitorSkill
- agent-performance-optimizerSkill
- agent-plannerSkill
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- agent-production-validatorSkill
- The first 60 shown.
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