performance-analysis SKILL.md skillA

performance-analysis from frankxai/claude-skills-library is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add frankxai/claude-skills-library/performance-analysis@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
frankxai/claude-skills-library
Path
free-skills/performance-analysis/SKILL.md
Versions recorded
5
Latest version
v1.0.0, committed Oct 14, 2026
First version recorded
May 25, 2026
Size
6,616 bytes
Repository stars
47
License
MIT

Performance analysis, bottleneck detection, and optimization recommendations. Use when profiling slow code or systems, hunting a performance regression, or producing an optimization plan with measurable targets.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Performance Analysis Skill

Comprehensive performance analysis suite for identifying bottlenecks, profiling swarm operations, generating detailed reports, and providing actionable optimization recommendations.

## Overview

This skill consolidates all performance analysis capabilities:
- **Bottleneck Detection**: Identify performance bottlenecks across communication, processing, memory, and network
- **Performance Profiling**: Real-time monitoring and historical analysis of swarm operations
- **Report Generation**: Create comprehensive performance reports in multiple formats
- **Optimization Recommendations**: AI-powered suggestions for improving performance

## Quick Start

### Basic Bottleneck Detection
```bash
npx claude-flow bottleneck detect
```

### Generate Performance Report
```bash
npx claude-flow analysis performance-report --format html --include-metrics
```

### Analyze and Auto-Fix
```bash
npx claude-flow bottleneck detect --fix --threshold 15
```

## Reference

The full detail lives in `references/` and loads only when needed:

- [`references/capabilities.md`](references/capabilities.md) — core capabilities & analysis details.

---

## Advanced Usage
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add frankxai/claude-skills-library/performance-analysis@sha256:d2790690760893fd

The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_yiwiknjite5woluv.svg)](https://markdownregistry.com/a/art_yiwiknjite5woluv)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between May 25, 2026 and Oct 14, 2026, about one every 35 days.

versioncommittedcommitsizeaudit
v1.0.0 latest2026-10-14 6571e8d 6,616 BA view · diff
v1.0.02026-09-27 22ea80b 8,707 BA view · diff
v1.0.02026-06-08 5e17d21 8,626 BA view · diff
v1.0.02026-06-08 07e270e 14,769 BA view · diff
v1.0.02026-05-25 468c26e 14,671 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (6616 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

frankxai/claude-skills-library · 47 stars · license MIT · pushed 2026-10-20 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_yiwiknjite5woluv
GET https://markdownregistry.com/api/v1/resolve?ref=frankxai/claude-skills-library/performance-analysis
GET https://markdownregistry.com/api/v1/blob/d2790690760893fd30c8d92098864f7a43c77e400726a2b669041d39fe437465

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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