Alternatives to performance-analysis
50 AI Skills apps to use instead, best rated first.
Top picks
- W
webapp-testing
LaunchNative Python Playwright scripts for testing local web applications with server lifecycle management. Includes with_server.py helper to automatically start and manage single or multiple servers before running automation scripts. Supports re
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content-research-writer
LaunchAssists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on
- O
openhue
Launchopenhue is an agent skill from the OpenClaw project, listed on skills.sh. It lets an agent control Philips Hue lights and scenes through a Hue Bridge with the OpenHue CLI: turn lights on and off, dim rooms, set scenes such as movie mode, an
- B
batch-grill-me
Launchbatch-grill-me is an agent skill from Matt Pocock's skills collection, listed on skills.sh. It interviews you relentlessly about a plan until you share an understanding. It maps decisions as a tree and asks every question it can answer now
- I
implement
Launchimplement is an agent skill from Matt Pocock's skills collection, listed on skills.sh. It implements work from a spec or tickets: it fetches the ticket, works test-first at agreed seams, runs type checks and tests as it goes, reviews the re
- F
frontend-design
LaunchDistinctive, production-grade frontend interfaces that reject generic AI aesthetics through intentional design choices. Guides aesthetic direction selection (brutalist, maximalist, retro-futuristic, luxury, organic, etc.) before implementat
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brainstorming
Transform rough ideas into fully-formed designs through structured questioning
finishing-a-development-branch
Guides completion of development work by presenting clear options
test-driven-development
Use when implementing any feature or bugfix, before writing implementation code
About performance-analysis
performance-analysis
Comprehensive performance analysis, bottleneck detection
performance-analysis is an agent skill from the ruflo project that consolidates the performance analysis tools for Claude Flow swarms. It detects bottlenecks in communication, processing, memory and the network, profiles swarm operations in real time and over history, produces performance reports in several formats, and gives optimization recommendations. The quick start runs the Claude Flow bottleneck detect command to find the slowest parts of a swarm. The skill is for developers who run multi-agent systems and see them slow down, cost too much or stall, and want a clear report of where the time goes before they change the design. It covers the swarm's own operations rather than a general application, so it fits agent systems more than an ordinary web service. Because the recommendations come from measurements of the running system, their value depends on the data the monitoring collects, so check the reports against what you observe. The skill passes Gen Agent Trust Hub, Socket and Snyk on skills.sh, and it has about 1,200 installs. It is a companion to the agent-performance-optimizer skill, which covers the same kind of work with a different emphasis. Install it with npx skills add https://github.com/ruvnet/ruflo --skill performance-analysis.
- Price
- Free
- Made by
- ruvnet
- Category
- AI Skills
- Website
- github.com/ruvnet/ruflo/performance-analysis