agentleFS
Sign inStart free
ArzeroeArzeroe/Claude-skills/skills/v3-core-implementation/SKILL.md

V3 Core Implementation

Skill0 starsChanged 5 months agoNo licenceView on GitHub

Core module implementation for claude-flow v3. Implements DDD domains, clean architecture patterns, dependency injection, and modular TypeScript codebase with comprehensive testing.

27 other projects use a version of this, 4 of them edited.

Adopted by

Most recently taken up by

Used with

Projects with it also use worker-benchmarks, flow-nexus-swarm 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.
  • nbossnSkill

    worker-benchmarks

    Run comprehensive worker system benchmarks and performance analysis

    Also in 6 projects that use this

  • ruvnetSkill

    flow-nexus-swarm

    Cloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform

    Also in 10 projects that use this

  • chatman-mediaSkill

    agentic-jujutsu

    Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination

    Also in 6 projects that use this

  • ruvnetSkill

    flow-nexus-neural

    Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus

    Also in 6 projects that use this

  • ZekiogSkill

    agent-agent

    Agent skill for agent - invoke with $agent-agent

    Also in 3 projects that use this

  • ZekiogSkill

    agent-analyze-code-quality

    Agent skill for analyze-code-quality - invoke with $agent-analyze-code-quality

    Also in 3 projects that use this

  • +3 more from ruvnet
  • +3 more from Zekiog

The file

Create a free account to mount

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
What did you use it for? e.g. Reviewing pull requests in a Rails app

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.

Check your setup, free