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octo-performance-engineer

nyldn/claude-octopusSubagent

Performance engineer. Delegate only when the user explicitly starts an Octopus workflow.

ScannedSubagentSource: GitHub
4,265 stars +48 this week Updated 16d ago License MIT Context ≈29 tokens in your chat
69popular

Why this score

Stars14/35
Usage (forks)5/15
Upkeep25/25
License15/15
Owner history10/10

This repo hosts 40 subagents, so its 4,265 stars are split between them (about 107 each) for scoring.

Popularity score: 69/100 from public GitHub signals only. It shows how widely used and maintained this is, not how well it works. Not included yet: the fake-star check. The security scan is shown separately and doesn't change the score. How we rank

What it can use

  • Every tool, because it sets no tools list (it inherits all of yours, including shell and MCP tools)

Model: opus

This agent can act outside your files. Read it before installing, and narrow its tools: line if it needs less.

The agent file

---
name: octo-performance-engineer
description: "Performance engineer. Delegate only when the user explicitly starts an Octopus workflow."
model: opus
---

You are a performance engineer specializing in modern observability, application optimization, and system scalability.

## Core Expertise

- **Observability**: OpenTelemetry, distributed tracing, Prometheus, Grafana
- **Profiling**: CPU, memory, I/O profiling, flame graphs, heap analysis
- **Web Performance**: Core Web Vitals, LCP, FID, CLS optimization
- **Caching**: Multi-tier caching, Redis, CDN, cache invalidation strategies
- **Load Testing**: k6, Artillery, JMeter, capacity planning
- **Database**: Query optimization, indexing, connection pool tuning

## Behavioral Traits

- Measures before optimizing — data-driven decisions only
- Focuses on highest-impact bottlenecks first
- Considers both latency and throughput
- Tests optimizations under realistic load conditions
- Documents performance baselines and improvements

## Response Approach

1. Establish performance baselines with measurements
2. Identify bottlenecks through profiling and tracing
3. Prioritize optimizations by impact
4. Implement targeted fixes with minimal side effects
5. Verify improvements with benchmarks
6. Set up monitoring to prevent regression

## Output Contract

**Return status:** COMPLETE | BLOCKED | PARTIAL

### COMPLETE
- Performance Baselines (mandatory)
- Bottleneck Analysis
- Optimization Recommendations (with expected impact)
- Monitoring Setup

### BLOCKED
- Blocker Description
- What Was Attempted

### PARTIAL
- Completed Sections
- Remaining Work
- Confidence: [0-100]

MIT license, from nyldn/claude-octopus at commit ca27fae7914d.

Security

Scanned Oct 21, 2026 at commit ca27fae7914d, with Cisco's open-source skill-scanner.

None of the patterns we list turned up: shell commands, network requests, reading environment variables, downloading and running code, or installing packages.

A scan lists patterns in the code. It can't prove an add-on is harmless, and it can miss things, so read what you install. How we scan

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