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Independent project, not affiliated with Anthropic
spencermarx avatar

V3 CLI Modernization

spencermarx/open-code-review
240 starsApache-2.0
Summary

If you're working with claude-flow v3 and tired of a 108KB monolithic CLI file, this breaks it down into focused modules under 500 lines each while adding interactive prompts and deeper hooks integration. It introduces a command registry system with middleware stacks, fuzzy matching for typos, and decorator-based subcommands that actually feel modern. The interactive mode is solid for swarm initialization where you pick topologies and configure agents through prompts instead of remembering flags. Most useful when you're building complex workflows that need intelligent command chaining rather than bash scripts held together with duct tape. Targets sub-200ms command response times, which matters more than you'd think once your CLI grows past a dozen commands.

Install to Claude Code

npx -y skills add spencermarx/open-code-review --skill "V3 CLI Modernization" --agent claude-code

Installs into .claude/skills of the current project.

CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
ego lite browserego lite browser
ego lite browser
Fastest browser for AI agents to run web automation tasks, always free.
Download Free life-time →
Give your AI the whole web as clean markdownGive your AI the whole web as clean markdown
Give your AI the whole web as clean markdown
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
belt - the only tool your agent needs
belt - the only tool your agent needs
belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →
Agent, connect blockchain
Agent, connect blockchain
Connect your Claude agent to live crypto prices and trading routes via 1inch
Get the MCP →
inference shell
inference shell
create and run specialised agents in minutes
build now →
CodeHealth MCP ServerCodeHealth MCP Server
CodeHealth MCP Server
Protect your code quality, stop the AI slop.
Try For Free →
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
ego lite browserego lite browser
ego lite browser
Fastest browser for AI agents to run web automation tasks, always free.
Download Free life-time →
Give your AI the whole web as clean markdownGive your AI the whole web as clean markdown
Give your AI the whole web as clean markdown
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
belt - the only tool your agent needs
belt - the only tool your agent needs
belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →
Agent, connect blockchain
Agent, connect blockchain
Connect your Claude agent to live crypto prices and trading routes via 1inch
Get the MCP →
inference shell
inference shell
create and run specialised agents in minutes
build now →
CodeHealth MCP ServerCodeHealth MCP Server
CodeHealth MCP Server
Protect your code quality, stop the AI slop.
Try For Free →
Files
SKILL.md

Select a file.

Featured
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
ego lite browserego lite browser
ego lite browser
Fastest browser for AI agents to run web automation tasks, always free.
Download Free life-time →
Give your AI the whole web as clean markdownGive your AI the whole web as clean markdown
Give your AI the whole web as clean markdown
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
belt - the only tool your agent needs
belt - the only tool your agent needs
belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →
Agent, connect blockchain
Agent, connect blockchain
Connect your Claude agent to live crypto prices and trading routes via 1inch
Get the MCP →
inference shell
inference shell
create and run specialised agents in minutes
build now →
CodeHealth MCP ServerCodeHealth MCP Server
CodeHealth MCP Server
Protect your code quality, stop the AI slop.
Try For Free →
Categories
Frontend DevelopmentGit & Pull RequestsCode Review & QualityAutomation & WorkflowsCLI & Terminal
First SeenJun 11, 2026
View on GitHub

More from spencermarx/open-code-review

All 31 skills →
  • V3 Core Implementation
  • V3 DDD Architecture
  • V3 Deep Integration
  • V3 MCP Optimization
  • V3 Memory Unification
  • V3 Performance Optimization
  • V3 Security Overhaul
  • V3 Swarm Coordination
  • Verification & Quality Assurance
  • AgentDB Advanced Features
  • AgentDB Learning Plugins
  • AgentDB Memory Patterns
  • AgentDB Performance Optimization
  • AgentDB Vector Search
  • Browser
  • Github Code Review
  • Github Multi Repo
  • Github Project Management
  • Github Release Management
  • Github Workflow Automation
  • Hooks Automation
  • Ocr
  • Pair Programming
  • ReasoningBank With AgentDB

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More Frontend Development →
spences10 avatar
error-handling-patterns

spences10/devhub-crm

Svelte 5 error handling. Use for error boundaries, async await expressions, loading states, and form errors.
6
sponsiolabs avatar
configure

sponsiolabs/sponsio

Use after `/plugin install sponsio-claude-code` to wire the runtime end-to-end. The plugin install only registers hooks + skills; the contract library and per-environment overrides are configured here. Bootstraps the per-plugin contract library tree at ~/.sponsio/plugins/, installs bundled starter libraries for popular MCP servers (github, filesystem, playwright), generates fresh starter libraries for plugins / MCP servers that don't ship one (via `sponsio plugin scan`), tunes the shipped rules to the user's actual environment (workspace path, expected call volume, dev/CI/prod profile), and verifies with a smoke test. Use when the user says any of "configure sponsio-claude-code", "set up sponsio-claude-code", "first-time setup of sponsio", "wire up sponsio in this Claude Code session", "add Sponsio guardrails for my MCP tools", "tune the plugin for my environment", "the plugin is too strict / too loose", "calibrate sponsio rules", "scan this plugin", "generate sponsio rules for X", "create a contract library for my plugin", "I just installed Y plugin / MCP server, what should sponsio block", or asks how to make sponsio-claude-code actually block things.
476
srbhr avatar
design-principles

srbhr/Resume-Matcher

Swiss International Style for Resume Matcher. Invoke ONLY when designing new UI components or modifying existing component styles.
25.8k
sunbigfly avatar
ppt-agent

sunbigfly/ppt-agent-skills

专业 PPT 演示文稿全流程 AI 生成助手。模拟顶级 PPT 设计公司的完整工作流(需求调研到资料搜集到大纲策划到策划稿到设计稿),输出高质量 HTML 格式演示文稿。当用户提到制作 PPT、做演示文稿、做 slides、做幻灯片、做汇报材料、做培训课件、做路演 deck、做产品介绍页面时触发此技能。即使用户只说"帮我做个关于 X 的介绍"或"我要给老板汇报 Y",只要暗示需要结构化的多页演示内容,都应该触发。也适用于用户说"帮我把这篇文档做成 PPT"、"把这个主题做成演示"等需要将内容转化为演示格式的场景。英文场景同样适用:"make a presentation about..."、"create slides for..."、"build a pitch deck"、"I need a keynote for..."。隐式意图也应触发:"帮我把这个数据可视化一下给老板看"、"我需要一份能拿去路演的东西"、"把这个报告做得好看点能展示"、"beautify my existing PPT"、"redesign these slides"。改善或美化现有 PPT 也属于此技能范畴。
786
syahiidkamil avatar
theme-factory

syahiidkamil/software-engineer-ai-agent-atlas

Toolkit for styling artifacts with a theme. These artifacts can be slides, docs, reportings, HTML landing pages, etc. There are 10 pre-set themes with colors/fonts that you can apply to any artifact that has been creating, or can generate a new theme on-the-fly.
298
telagod avatar
building-agent-systems

telagod/code-abyss

AI agent and LLM system engineering reference covering single-agent dev (ReAct, tool calling, plan-execute), multi-agent coordination (swarm, role decomposition, file locking), LLM security (prompt injection, jailbreak defense, output filtering), RAG architecture (chunking, hybrid retrieval, rerank), and prompt engineering / evaluation (RAGAS, LLM-as-Judge). Use when building AI agents, designing RAG pipelines, orchestrating multi-agent workflows, hardening LLM apps, or writing prompts.
224