Performance Optimization

What it does

When your agent uses it

• Optimizing queries
• Fixing N+1 issues
• Improving response times
• User mentions performance

Example prompts

• “Use the performance-optimization skill to identify and fixes Rails performance issues including N+1 queries, slow queries, and memory problems”
• “/performance-optimization”

Requirements

• Pre-approved tools (allowed-tools): Read, Grep, Glob, Bash

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

1. 1Detect -- Enable Bullet, run specs, check Rack Mini Profiler
2. 2Analyze -- Use explain(:analyze), check slow query logs, profile memory
3. 3Fix -- Apply the appropriate pattern from the reference files
4. 4Verify -- Re-run specs, confirm query counts, check profiler

What it can do on your machine

Read from SKILL.md and the folder at commit 03622f2. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves these tools, so the agent can use them without asking each time:

  • Read
  • Grep
  • Glob
  • Bash

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  No scripts in the folder and no shell commands in SKILL.md (its code samples are ruby).

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Performance Optimization loads about 1.2k tokens when it runs, and up to ~3.6k if it reads all its reference files. Until then it costs about 103 tokens; SKILL.md has 452 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~103

When it runs · the whole SKILL.md, loaded when a task matches

~1.2k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~3.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

• NotePre-approves every shell command (allowed-tools: Bash)SKILL.md

  allowed-tools: Read, Grep, Glob, Bash

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from ThibautBaissac/rails_ai_agents at commit 03622f2, republished under its MIT licence (© ThibautBaissac). 452 words, ~1,209 tokens.

name

performance-optimization

description

Identifies and fixes Rails performance issues including N+1 queries, slow queries, and memory problems. Use when optimizing queries, fixing N+1 issues, improving response times, or when user mentions performance, slow, optimization, or Bullet gem. WHEN NOT: Caching-specific patterns (use caching-strategies), adding new features, or general code quality improvements unrelated to speed.

allowed-tools

Read, Grep, Glob, Bash

context

fork

agent

Explore

# Gemfile
group :development, :test do
  gem 'bullet'           # N+1 detection
  gem 'rack-mini-profiler' # Request profiling
  gem 'memory_profiler'  # Memory analysis
end

© ThibautBaissac, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (references) in .agents/skills/performance-optimization of ThibautBaissac/rails_ai_agents.

• SKILL.md
• references/memory-and-profiling.md
• references/n-plus-one.md
• references/query-optimization.md

Open the folder on GitHubat commit 03622f2