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Performance review. Detects project type and dispatches compute and/or web performance reviewers. Advisory only — no changes made.

shell
$ npx -y skills add chrisallenlane/claude-swe-workflows --skill review-perf --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.
  • You can call itInvoke it directly when you want it.
  • Slash command/review-perf
How auto-invocation works

Context preview

The summary Claude sees to decide when to auto-load this skill.

Performance review. Detects project type and dispatches compute and/or web performance reviewers. Advisory only — no changes made.

SKILL.md

review-perf.SKILL.md
name: review-perf
description: Performance review. Detects project type and dispatches compute and/or web performance reviewers. Advisory only — no changes made.
model: opus

Performance Review

Advisory-only performance review. Detects whether the project contains web content, non-web source code, or both, and dispatches the appropriate performance reviewer(s). No changes are made.

Philosophy

**Measure, don't guess.** Performance intuitions are unreliable. The reviewers identify structural issues and recommend what to measure, not just what to optimize.

**Two domains, one workflow.** Compute performance (algorithms, memory, CPU) and web performance (network latency, caching, asset delivery) are fundamentally different disciplines. This skill dispatches the right specialist(s) for the project rather than applying one lens to everything.

**Diagnostic, not therapeutic.** This skill identifies performance problems and recommends fixes. It does not implement them. Ask for changes directly after reviewing the findings, or use `/implement` with the review as context.

Workflow Overview

┌──────────────────────────────────────────────────────┐
│                 PERFORMANCE REVIEW                   │
├──────────────────────────────────────────────────────┤
│  1. Detect project type (web, non-web, or both)      │
│  2. Determine scope                                  │
│  3. Dispatch performance reviewer(s)                 │
│  4. Present consolidated report                      │
└──────────────────────────────────────────────────────┘

Workflow Details

1. Detect Project Type

Scan the project for source files to determine what performance domains apply.

**Web indicators** (any of these → dispatch web reviewer):

| Indicator | Signal | |-------------------------------------------------------------------------|----------| | `.html`, `.htm`, `.jsx`, `.tsx`, `.vue`, `.svelte` | Strong | | `package.json` with web framework (react, vue, next, nuxt, astro, etc.) | Strong | | `webpack.config.*`, `vite.config.*`, `next.config.*` | Strong | | `.css`, `.scss`, `.less` files (more than a few) | Moderate | | `_headers`, `_redirects`, `vercel.json`, `netlify.toml` | Moderate | | Service worker files (`sw.js`, `service-worker.js`) | Strong |

**Non-web indicators** (any of these → dispatch compute reviewer):

| Indicator | Signal | |--------------------------------------------------------------------------|----------| | `.go`, `.rs`, `.c`, `.cpp`, `.java`, `.py`, `.rb`, `.zig` source files | Strong | | Existing benchmarks (`*_bench*`, `Benchmark` in test files, `criterion`) | Strong | | Database query code (SQL files, ORM usage) | Moderate | | Data processing pipelines (ETL, batch processing) | Moderate | | CLI tool entry points | Moderate |

**Full-stack projects** will have both indicators — dispatch both reviewers.

**If neither is detected:** Report "No performance-relevant source code detected in this project." and abort.

2. Determine Scope

Present detected project type and ask the user:

Detected project characteristics:
  - Web content: [Yes — N files / No]
  - Source code: [Yes — N files in Go, Python, etc. / No]

Performance domains to review:
  - [x] Web performance (caching, assets, loading strategy)
  - [x] Compute performance (algorithms, memory, benchmarks)

What should I review?
  - Both domains (default)
  - Web performance only
  - Compute performance only
  - Specific directory/scope

Accept the user's selection. Default: all applicable domains, entire project.

3. Dispatch Performance Reviewers

Spawn the applicable reviewer(s) **in parallel**.

**Web performance reviewer** (if web content detected and not excluded):

Spawn a `swe-web-perf-reviewer` agent:

Review this project for web performance issues.
Scope: [scope]

Read all relevant files (HTML, CSS, JS, build configs, server configs)
and perform your full audit:
1. Detect tooling and environment (build tools, monitoring, server config)
2. Audit across all categories: caching, asset delivery, critical path,
   resource loading, images, JavaScript cost, CSS efficiency, network
   overhead, Core Web Vitals risk factors
3. Classify every issue by severity (CRITICAL / HIGH / LOW)

Produce your standard output format with summary, issues by severity,
caching assessment, asset delivery assessment, and tooling recommendations.

**Compute performance reviewer** (if non-web source detected and not excluded):

Spawn a `swe-perf-reviewer` agent:

Review this project for computational performance issues.
Scope: [scope]

Read all source files within scope and perform your full review:
1. Scan for performance-critical code, existing benchmarks, and profiling
   infrastructure
2. Assess benchmark coverage and quality
3. Identify optimization opportunities (algorithmic, memory, I/O,
   concurrency)
4. Check for performance regressions and missing regression detection

Produce your standard output format with findings organized by priority.

4. Present Consolidated Report

Collect all agent responses. Present a consolidated report:

## Performance Review

Scope: [what was reviewed]
Domains reviewed: [Web / Compute / Both]

### Web Performance
[web reviewer findings — or "Not applicable" if no web content]

Issues: N (X critical, Y high, Z low)

[merged findings by severity]

---

### Compute Performance
[compute reviewer findings — or "Not applicable" if no non-web source]

Issues: N (X critical, Y high, Z low)

[merged findings by severity]

---

### Cross-Cutting Concerns
[Your synthesis — issues that span both domains. For example:
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Ships withclaude-swe-workflows

A system of composable software engineering workflows for Claude Code. Plan projects, implement tickets, and run quality passes — from a single ticket to a multi-batch project, using the same layered architecture.

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Repo: chrisallenlane/claude-swe-workflows

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