browser
Skill0 starsChanged 4 months agoNo licenceView on GitHub
This skill should be used for browser automation tasks using Chrome DevTools Protocol (CDP). Triggers when users need to launch Chrome with remote debugging, navigate pages, execute JavaScript in browser context, capture screenshots, or interactively select DOM elements. No MCP server required.
- Installs packages
68 other projects use a version of this.
Adopted by
Most recently taken up by
- wubinKKK/private-ai-workbenchtheir own version, first seen Nov 8, 2026
- EthanLLL/loomtheir own version, first seen Nov 8, 2026
- matthewwong525/WongStacktheir own version, first seen Nov 8, 2026
- letsloose501/sqs-agent-memorytheir own version, first seen Nov 3, 2026
- Y91R/chromectltheir own version, first seen Nov 2, 2026
- derwells/learn-skilltheir own version, first seen Nov 1, 2026
Used with
Projects with it also use V3 Core Implementation, V3 DDD Architecture 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.
ruvnetSkillV3 Core Implementation
Core module implementation for claude-flow v3. Implements DDD domains, clean architecture patterns, dependency injection, and modular TypeScript codebase with comprehensive testing.
Also in 15 projects that use this
ruvnetSkillV3 DDD Architecture
Domain-Driven Design architecture for claude-flow v3. Implements modular, bounded context architecture with clean separation of concerns and microkernel pattern.
Also in 15 projects that use this
- +10 more from ruvnet
Other versions68 projects use a version of this.
Word for word · 2
- cexll/myclaude★ 2.8k100% same
- ssdeanx/AgentStack★ 44100% same
Edited · 0
None found.
Wrote their own version · 66
- ruvnet/wifi-densepose★ 103ksame name
- ruvnet/RuView★ 103ksame name
- ruvnet/claude-flow★ 80ksame name
- ruvnet/ruflo★ 79ksame name
- ruvnet/ruvector★ 4.7ksame name
- ruvnet/RuVector★ 4.7ksame name
- browserbase/agent-browse★ 3.7ksame name
- VibiumDev/vibium★ 3ksame name
- proffesor-for-testing/agentic-qe★ 524same name
- ruvnet/ruv-FANN★ 388same name
56 more not listed
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 repository54 other files it gives its agents.
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- devSkill
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- doSkill
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- frontend-devSkill
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- karpathy-guidelinesSkill
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- omoSkill
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- pretty-mermaidSkill
- product-requirementsSkill
- prototype-prompt-generatorSkill
- receiving-code-reviewSkill
- requesting-code-reviewSkill
- shopmind-price-compareSkill
- skill-creatorSkill
- skillhub-preferenceSkill
- skill-installSkill
- sparvSkill
- static-guide-site-from-sourcesSkill
- subagent-driven-developmentSkill
- systematic-debuggingSkill
- test-casesSkill
- test-driven-developmentSkill
- ui-ux-pro-maxSkill
- using-git-worktreesSkill
- using-superpowersSkill
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- wechat-favoritesSkill
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- workflow-runnerSkill
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The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 2 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 56 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
2
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 56 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.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
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.

