Optimize Performance

SkillAI & models

Use when investigating N+1s, slow queries, caching, or query plans in Rails. Profile before changing code. Trigger words: N+1, slow, performance, caching, EXPLAIN.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Optimize Performance skill

What this skill tells your AI

The instructions your AI receives, as published by igmarin/rails-agent-skills in skills/optimize-performance/SKILL.md and read by ahel’s review.

Identify and fix performance bottlenecks in Rails applications.

Quick Reference

ToolUse
bulletN+1 detection in development
rack-mini-profilerEndpoint timing breakdown
EXPLAIN ANALYZEQuery plan analysis

HARD-GATE

NEVER optimize without a baseline measurement
ALWAYS write a regression spec before optimizing (query count assertion)
ALWAYS verify with EXPLAIN ANALYZE for database changes

NEVER write the report as "I applied includes(:author), then wrote a spec
to lock it in." The spec MUST be written and shown failing BEFORE the fix
appears in your output. Reordering for narrative flow fails the audit even
when the underlying work was correct.

Output Style

When completing a performance optimization, output MUST follow this seven-step report order. Each step must appear in output:

# Performance Optimization — [Description]

## 1. Baseline
<N> queries for <endpoint/action> — source: <log line / profiler output>

## 2. Bottleneck
<N+1 on association X / missing index on column Y> — tool: <bullet / rack-mini-profiler / EXPLAIN ANALYZE>

## 3. Regression Spec — RED
`make_database_queries(count: <N>)` at <path>:<line> — failure: expected <M>, got <N>

## 4. Fix
<path>:<line> — <includes(:association) / add_index / cache block>

## 5. Regression Spec — GREEN
Spec passes ✓ (<M> queries)

## 6. EXPLAIN ANALYZE
Before: Seq Scan, actual time=<X>ms → After: Index Scan, actual time=<Y>ms

## 7. Quantified Improvement
Queries: <N> → <M> | p95: <X>ms → <Y>ms

Language: English unless explicitly requested otherwise.

Extended Resources

Less-Obvious Optimization

# Use counter_cache to avoid COUNT queries in loops
# In migration: add_column :users, :posts_count, :integer, default: 0
# In Post model: belongs_to :user, counter_cache: true
user.posts_count  # no extra query

Regression Spec (Query Count Assertion)

RSpec.describe "Post index performance" do
  it "loads posts with authors in a fixed number of queries" do
    create_list(:post, 10, :with_author)

    expect do
      get posts_path
    end.to make_database_queries(count: 2) # 1 posts query + 1 authors query
  end
end

Use the db-query-matchers gem or a custom make_database_queries matcher.

Run directly in rails dbconsole (PostgreSQL) after applying an index or query change:

EXPLAIN ANALYZE
  SELECT posts.*, users.name
  FROM posts
  INNER JOIN users ON users.id = posts.author_id
  WHERE posts.published = true;

Reference Files and External Links

Load these files only when their specific content is needed:

  • references/tools.md — Use when you need detailed Bullet, rack-mini-profiler, or EXPLAIN ANALYZE configuration and installation steps

External references:

Integration

SkillWhen to chain
write-testsFor regression specs
review-migrationWhen adding an index

Signals

GitHub stars
25
Forks
7
Last commit
Aug 2026
Advanced
Catalog kind
skill
Gateway key
optimize-performance-igmarin
Source
github.com/igmarin/rails-agent-skills