Agent skill · AI & Agents

perf

Analyze Elixir/Phoenix performance — N+1 queries, assign bloat, ecto optimization, genserver bottlenecks. Use when slowness, timeouts, or high memory reported.

oliver-kriskagithub.com/oliver-kriskaGitHub ↗
claude-codeMIT
Install
npx skills add oliver-kriska/claude-elixir-phoenix --skill perf --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 4 KB
Bundled scripts: none
Path: plugins/elixir-phoenix/skills/perf/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 515
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Performance Analysis Analyze code for performance issues across Ecto, LiveView, and OTP layers. Prioritize findings by impact and effort. ## Usage ``` /phx:perf # Analyze full project /phx:perf lib/my_app/accounts.ex # Analyze specific module /phx:perf --focus ecto # Ecto queries only /phx:perf --focus liveview # LiveView memory only /phx:perf --focus otp # OTP bottlenecks only ``` ## Arguments `$ARGUMENTS` = Optional module/context path and `--focus` flag. ## Iron Laws 1. **MEASURE BEFORE OPTIMIZING** — Never optimize without evidence of a problem 2. **DATABASE FIRST** — 90% of Elixir performance issues are query-related 3. **ONE CHANGE AT A TIME** — Isolate optimizations to measure impact 4. **NEVER benchmark in dev mode** — Always use `MIX_ENV=prod` for performance measurements; dev mode includes code reloading, debug logging, and unoptimized compilation that invalidate results ## Workflow ### Step 1: Identify Scope Check specific file if provided. Otherwise scan full project: ```bash # Find hot paths: contexts, LiveViews, workers find lib/ -name "*.ex" | head -50 ``` ### Step 2: Run Analysis Tracks Spawn analysis agents in parallel based on focus: **Ecto Track** (default or `

What's inside
Steps it walks through
  1. Usage
  2. Arguments
  3. Iron Laws
  4. Workflow
  5. Step 1: Identify Scope
  6. Step 2: Run Analysis Tracks
  7. Step 3: Prioritize Findings
  8. Step 4: Present Top 5
  9. Step 5: Offer Next Steps
  10. Tidewave Integration
  11. References
Ships with 1 file
  • references/benchmarking.md
Commands it runs
Find hot paths: contexts, LiveViews, workers
find lib/ -name "*.ex" | head -50
More from claude-elixir-phoenix
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About this skill
What does the perf skill do?

Analyze Elixir/Phoenix performance — N+1 queries, assign bloat, ecto optimization, genserver bottlenecks. Use when slowness, timeouts, or high memory reported.

How do I install it?

Run `npx skills add oliver-kriska/claude-elixir-phoenix --skill perf --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From oliver-kriska/claude-elixir-phoenix, a repository with 515 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going