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By caidish
Integrate Codex and Gemini CLIs into workflows for multi-AI code generation, analysis, review, web research, git diff checks, and automated edits. Debug bugs via TDD with multi-agent test proposals, user-approved fixes, and collaborative iterative reviews up to 5 rounds.
npx claudepluginhub caidish/cai-tools --plugin AI-skillUse when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, code review, or automated editing
Wield Google's Gemini CLI as a powerful auxiliary tool for code generation, review, analysis, and web research. Use when tasks benefit from a second AI perspective, current web information via Google Search, codebase architecture analysis, or parallel code generation. Also use when user explicitly requests Gemini operations.
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Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Collection of useful prompted subagents for code review, API docs, QA, and more
Hub plugin for cc-multi-cli-plugin: contains the companion runtime, subagents, setup wizard, and customization skills.
macOS notifications for Claude Code events
Unified capability management center for Skills, Agents, and Commands.
Harness-native ECC plugin for engineering teams - 64 agents, 262 skills, 84 legacy command shims, reusable hooks, rules, MCP conventions, and operator workflows for Claude Code plus adjacent agent harnesses
Tools to maintain and improve CLAUDE.md files - audit quality, capture session learnings, and keep project memory current.
Skills for scientific instrument control, data analysis, and paper review
Collection of useful prompted subagents for code review, API docs, QA, and more
macOS integration - speak, send iMessages, emails, manage calendar, and display stickies
Pushover notification hooks - get notified when tasks complete or permissions are needed. Requires: python3 and psutil. Install: pip install psutil. Verify: python3 -c 'import psutil; print(psutil.__version__)'
Control KLayout from AI agents via MCP — geometry, display, image overlay, visual capture, nanodevice flake detection, GDS alignment, and routing skills for chip/mask layout design
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