web-perf
Skill0 starsChanged 4 months agoNo licenceView on GitHub
Analyzes web performance using Chrome DevTools MCP. Measures Core Web Vitals (LCP, INP, CLS) and supplementary metrics (FCP, TBT, Speed Index), identifies render-blocking resources, network dependency chains, layout shifts, caching issues, and accessibility gaps. Use when asked to audit, profile, debug, or optimize page load performance, Lighthouse scores, or site speed. Biases towards retrieval from current documentation over pre-trained knowledge.
43 other projects use a version of this, 17 of them edited.
Adopted by
Most recently taken up by
- artivilla/agent-skillsword for word, first seen Nov 8, 2026
- 1stANUNNAKI/majlisedited, first seen Nov 8, 2026
- jackson2w/claude-code-skillsedited, first seen Nov 3, 2026
- mxrsv/agents-skillsedited, first seen Nov 1, 2026
- mazze93/claude-code-skillsword for word, first seen Nov 1, 2026
- jjsizemore/jjskillsword for word, first seen Nov 1, 2026
Used with
Projects with it also use nextjs-on-cloudflare, basin and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
CloudflareSkillnextjs-on-cloudflare
Build, migrate, and deploy Next.js apps on Cloudflare Workers with vinext. Use when starting a Next.js project on Cloudflare, moving an existing app to Workers, choosing between vinext and OpenNext, or setting up vinext for Workers. For setup, migration, or deployment, install vinext's upstream skills with `npx skills add cloudflare/vinext` if missing, then read and follow the applicable skill and docs.
Also in 6 projects that use this
CloudflareSkillbasin
Build and troubleshoot Cloudflare Basin analytics workflows with Basin Pipelines, Basin Catalog, and Basin SQL. Use for streaming data into R2 Iceberg tables, managing catalogs, or querying those tables; also use for requests using the former Data Platform, Pipelines, R2 Data Catalog, or R2 SQL names.
Also in 6 projects that use this
- +10 more from cloudflare
Other versions43 projects use a version of this.
Word for word · 23
- secondsky/sap-skills★ 462100% same
- open-fox/agents★ 55100% same
- kevyder/banrepco_mcp★ 9100% same
- Marvellbrazil/my-agentic-skills★ 4100% same
- meowdiocre/meowpi★ 3100% same
- langgenius/mosoo-skills★ 2100% same
- altrwork/skills★ 1100% same
- birdmanmandbir/skills★ 1100% same
- casoon/ai-agent-config★ 1100% same
- ElyzeSolutions/skills★ 1100% same
13 more not listed
Edited · 17
- openai/plugins★ 7.8k99% same
- cloudflare/skills★ 3.3k87% same
- d-padmanabhan/agent-engineering-handbook★ 17100% same
- ariadoss/superskills★ 1297% same
- mxrsv/agents-skills★ 1199% same
- transitive-bullshit/skills★ 589% same
- adrienlupo/Claude-code-config★ 389% same
- 1stANUNNAKI/majlis★ 298% same
- GTMify/claude-skills-starter★ 299% same
- Hahuyphananh/GRYND★ 289% same
7 more not listed
Wrote their own version · 3
- elithrar/dotfiles★ 222same name
- swyxio/skills★ 194same name
- Quad4-Software/skills★ 1same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository8 other files it gives its agents.
- dev-sparkSkill
- evidence-first-troubleshootingSkill
- exec-requestsSkill
- humanizerSkill
- nntSkill
- session-reflectSkill
- sigma-computingSkill
- spec-kitSkill
The file
Show its rules and text
We split this skill into the rules it gives an agent
20 rules. 11 are common, 1 is distinctive, and 8 are very specific to this project.
11
Common
Most of the 19 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
8
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“Common” is measured: kept by at least 6 in 10 of the 19 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

