Lykhoyda

Lykhoyda/rn-dev-agent

Command Claude Code

Wrap up the work session with read-only evidence gathering, owner-classified documentation handoffs, gated issue sync, Kano refinement, and git hygiene checks.

Lykhoyda/rn-dev-agent

Skill Claude Code

Prioritize and refine a GitHub Issues backlog with the Kano model — categorize every open issue as Must-be, Performance, Attractive, Indifferent, or Reverse, apply Kano + priority labels back to GitHub automatically, and recommend the single best next issue to pick up. Use this whenever the user wants to triage…

Lykhoyda/rn-dev-agent

Plugin Claude Code

Bundles 28 skills, 17 commands, 6 agents, 6 hooks · 3,997 tokens together

AI agent that fully tests React Native features on simulator/emulator — navigates the app, verifies UI, walks user flows, and confirms internal state.

Lykhoyda/rn-dev-agent

MCP server Claude CodeCodexCursor +2

MCP server "cdp" as configured in Lykhoyda/rn-dev-agent. Runs const f=require('fs'),p=require('path'),o=require('os'),c=require('child_process');const V='1.0.14';const D=x=>{try{return f.readdirSync(x).map(n=>p.join(x,n)).filter(z=>{try{return f.statSync(z).isDirectory()}catch{return false}})}catch{return[]}};const…

Lykhoyda/rn-dev-agent

Skill Claude CodeCodex

React composition patterns that scale. Use when refactoring components with boolean prop proliferation, building flexible component libraries, or designing reusable APIs. Triggers on tasks involving compound components, render props, context providers, or component architecture. Includes React 19 API changes.

Lykhoyda/rn-dev-agent

Skill Claude CodeCodex

React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance…

Lykhoyda/rn-dev-agent

Skill Claude CodeCodex

React Native and Expo best practices for building performant mobile apps. Use when building React Native components, optimizing list performance, implementing animations, or working with native modules. Triggers on tasks involving React Native, Expo, mobile performance, or native platform APIs.

Lykhoyda/ask-llm

Plugin Claude Code

Lists 1 plugin

Plugin marketplace listing 1 plugin: ask-llm.

Lykhoyda/ask-llm

MCP server Claude CodeCodexCursor +2

One of 7 in server.json

Bridge Claude with Google's Antigravity CLI (agy) for code review and second opinions. Runs locally from the @ask-llm/antigravity-mcp npm package. Needs 3 environment variables to run.

Lykhoyda/ask-llm

MCP server Claude CodeCodexCursor +2

One of 7 in server.json

Bridge Codex and other MCP clients with Anthropic Claude Code CLI for read-only second opinions. Runs locally from the @ask-llm/claude-mcp npm package. Needs 4 environment variables to run.

Lykhoyda/ask-llm

MCP server Claude CodeCodexCursor +2

One of 7 in server.json

Bridge Claude with OpenAI Codex CLI for AI-to-AI collaboration, code review, and second opinions. Runs locally from the @ask-llm/codex-mcp npm package. Needs 2 environment variables to run.

Lykhoyda/ask-llm

MCP server Claude CodeCodexCursor +2

One of 7 in server.json

Bridge Claude with Gemini CLI for AI-to-AI collaboration, code review, and second opinions. Runs locally from the @ask-llm/gemini-mcp npm package. Needs 2 environment variables to run.

Lykhoyda/ask-llm

MCP server Claude CodeCodexCursor +2

One of 7 in server.json

Unified MCP server for Gemini, Codex, Claude, Grok, Ollama, and Antigravity. Runs locally from the @ask-llm/mcp npm package. Needs 16 environment variables to run.

Lykhoyda/ask-llm

MCP server Claude CodeCodexCursor +2

One of 7 in server.json

Bridge Claude with local Ollama LLMs for private AI-to-AI collaboration — no API keys, fully local. Runs locally from the @ask-llm/ollama-mcp npm package. Needs 3 environment variables to run.

Lykhoyda/ask-llm

MCP server Claude CodeCodexCursor +2

One of 7 in server.json

Consult Grok through xAI's metered API with exact model selection and no fallback. Runs locally from the @ask-llm/grok-mcp npm package. Needs 7 environment variables to run.