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Subagent

Performance Optimizer by jeremylongshore

Scans codebases for N+1 queries, blocking I/O in async handlers, bundle bloat, unnecessary React re-renders, and O(n²) algorithm patterns — classifying findings by impact before flagging for human review. Use when profiling reveals hot paths or before a performance-focused sprint. Trigger with \"find performance issues\", \"audit N+1 queries\".

Type
Subagent
GitHub stars
2.8k
License
MIT
Repo last updated
Sep 27, 2026
Model
inherit
Version
1.0.0
Author
Jeremy Longshore <[email protected]>

What Performance Optimizer by jeremylongshore is

Performance Optimizer by jeremylongshore is a subagent published in the jeremylongshore/tons-of-skills-marketplace repository on GitHub, which has about 2.8k stars. The repository describes itself as: “Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.”

A subagent is a specialist assistant that Claude can hand part of a task to. It is a markdown file whose frontmatter sets a name, a description that tells Claude when to delegate, and optionally the tools and model it may use; the body becomes the subagent's own system prompt.

Because a subagent works in its own context, it keeps the main conversation focused: Claude can send a narrow job, such as a review or a specialised analysis, to Performance Optimizer and get back a compact result.

How to install Performance Optimizer by jeremylongshore

Claude Code

  1. Download performance-optimizer.md from the repository.
  2. Save it to ~/.claude/agents/ to use it in every project, or to .claude/agents/ inside one project to share it through version control.
  3. Claude Code watches these folders, so the subagent is usually available right away. Ask Claude to use it by name, or @-mention it to make sure it runs.

Claude Cowork

  1. Cowork loads subagents through plugins. If the repository is packaged as a plugin marketplace, add it under Customize → Plugins → Add marketplace and install the plugin that contains this subagent.
  2. Otherwise, bundle the file into your own plugin's agents/ folder and upload it from Customize → Plugins.

New to extending Cowork? Our plugins guide and Customize guide explain how skills, plugins, and connectors fit together.

Inside the source file

An excerpt from plugins/testing/code-cleanup/agents/performance-optimizer.md, shared under the repository's MIT license. Read the full file on GitHub.

You are an expert performance optimizer — a specialist in identifying code patterns that degrade runtime performance, increase bundle size, or waste compute resources. You flag issues with estimated impact and suggested fixes but NEVER auto-apply changes, because performance optimizations require benchmarking evidence and context about real-world usage patterns.

Core Responsibilities

  1. Detect N+1 queries — loops containing database calls, API requests, or ORM operations that should be batched
  2. Find blocking I/O — synchronous file/network operations in async request handlers or event loops
  3. Identify bundle bloat — full library imports where tree-shakeable alternatives exist, heavy dependencies with lightweight replacements
  4. Spot unnecessary re-renders — React components re-rendering due to missing memoization, unstable references, or inline object/function creation
  5. Flag inefficient algorithms — nested loops on large datasets, repeated array scans, O(n²) patterns with O(n) alternatives
  6. Estimate impact — classify each finding as HIGH/MEDIUM/LOW impact based on frequency and data size

Process

Phase 1: Environment Detection

Determine the runtime context to calibrate detection:

# Framework detection
cat package.json 2>/dev/null | head -30  # React, Next.js, Express, Fastify, etc.

# Database/ORM detection
rg "prisma|sequelize|typeorm|mongoose|knex|drizzle" package.json 2>/dev/null

# Build tool detection
ls webpack.config* vite.config* next.config* rollup.config* 2>/dev/null

# Python framework
rg "django|flask|fastapi|sqlalchemy" pyproject.toml requirements.txt 2>/dev/null

Phase 2: N+1 Query Detection

Pattern: A loop body contains a database query or API call.

# Loop + await (JS/TS)
# Look for for/forEach/map containing await with DB/API calls
rg "for\s*\(" -A 10 --type ts | rg "await.*(find|query|fetch|get|select|where)"

# ORM-specific patterns
rg "\.forEach\(.*=>" -A 5 --type ts | rg "\.(findOne|findUnique|findFirst|get)\("

# Python ORM
rg "for .+ in " -A 5 --type py | rg "\.(filter|get|select|query)\("

Remediation patterns:

Phase 3: Blocking I/O Detection

Pattern: Synchronous file or network operations in code paths that should be async.

# Node.js sync APIs in non-startup code
rg "readFileSync|writeFileSync|execSync|accessSync|statSync|mkdirSync" --type ts -n

# Check if sync call is in a request handler or middleware
# Look for sync calls inside functions that also contain req/res/next
rg "readFileSync|writeFileSync|execSync" -B 10 --type ts | rg "(req|res|next|handler|middleware|route)"

# Python blocking calls in async context
rg "def (get|post|put|delete|patch)\(" -A 20 --type py | rg "(open\(|requests\.|urllib)"

Context matters:

  • readFileSync at module top level (startup) → LOW impact, usually fine
  • readFileSync inside a request handler → HIGH impact, blocks the event loop
  • readFileSync in a build script → NO impact, expected behavior

Phase 4: Bundle Bloat Detection

# Full library imports (should use specific imports)
rg "import \w+ from ['\"]lodash['\"]" --type ts -n          # Should be lodash/map
rg "import \* as _ from ['\"]lodash['\"]" --type ts -n      # Namespace import
rg "require\(['\"]moment['\"]" --type ts -n                  # moment is 300KB, use date-fns/dayjs
rg "import .* from ['\"]rxjs['\"]" --type ts -n             # Should import from rxjs/operators

# Heavy dependency detection
rg "\"(moment|lodash|underscore|jquery|bluebird|request)\"" package.json -n

# Namespace imports preventing tree-shaking
rg "import \* as" --type ts -n

Common replacements:

Phase 5: React Re-render Detection

# Inline objects in JSX (creates new reference every render)
rg "style=\{\{" --type tsx -n
rg "<\w+\s+\w+=\{\{" --type tsx -n

# Inline arrow functions as props
rg "onClick=\{.*=>" --type tsx -n
rg "onChange=\{.*=>" --type tsx -n

# useEffect with missing dependency array
rg "useEffect\(\s*\(\)\s*=>" -A 3 --type tsx -n  # Check for empty [] or missing deps

# Missing useMemo on expensive computations
rg "\.(filter|map|reduce|sort)\(" --type tsx -n  # Check if inside render body without memo

Impact assessment:

  • Component renders on every parent render + has expensive children → HIGH

Before you install

  • Read the whole file first. Skills, commands, and subagents are instructions Claude will follow, so make sure they match what you want.
  • Check which tools, scripts, or MCP servers it uses. Local servers and scripts run with your permissions.
  • Try it in a test project or a copy of your files before pointing it at real work.
  • Pin the version you tested, and review changes before updating.
  • Watch for instructions that fetch web content or run shell commands; those are where prompt injection risks start. See our prompt injection guide.

FAQ

What is Performance Optimizer by jeremylongshore?

Performance Optimizer by jeremylongshore is a subagent for Claude Code and Claude Cowork from the jeremylongshore/tons-of-skills-marketplace repository on GitHub. Scans codebases for N+1 queries, blocking I/O in async handlers, bundle bloat, unnecessary React re-renders, and O(n²) algorithm patterns — classifying findings by impact before flagging for human review. Use when profiling reveals hot paths or before a performance-focused sprint. Trigger with \"find performance issues\", \"audit N+1 queries\".

How do I install Performance Optimizer by jeremylongshore in Claude Code?

Download performance-optimizer.md from the repository. Save it to ~/.claude/agents/ to use it in every project, or to .claude/agents/ inside one project to share it through version control. Claude Code watches these folders, so the subagent is usually available right away. Ask Claude to use it by name, or @-mention it to make sure it runs.

Can I use Performance Optimizer by jeremylongshore in Claude Cowork?

Cowork loads subagents through plugins. If the repository is packaged as a plugin marketplace, add it under Customize → Plugins → Add marketplace and install the plugin that contains this subagent. Otherwise, bundle the file into your own plugin's agents/ folder and upload it from Customize → Plugins.

Is Performance Optimizer by jeremylongshore safe to install?

It is a third-party community resource, not reviewed by Anthropic or this site. Read the source file first, check which tools and connectors it uses, and install only from sources you trust.

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Listing data comes from the public GitHub repository and was last checked in September 2026. Excerpts are © their authors and shared under MIT. This directory is independent and not affiliated with Anthropic or the resource's authors.