Optimize Performance
SkillAI & modelsUse 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.
No other account needed.
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
| Tool | Use |
|---|---|
bullet | N+1 detection in development |
rack-mini-profiler | Endpoint timing breakdown |
EXPLAIN ANALYZE | Query 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
| Skill | When to chain |
|---|---|
| write-tests | For regression specs |
| review-migration | When 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