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By caidish
Delegate specialized AI subagents to handle code reviews across languages, generate comprehensive API docs for REST/GraphQL/gRPC, perform QA audits and build test automation frameworks with Playwright/Cypress/Pytest, optimize system performance, architect scalable LLMs, develop TypeScript apps, create dev tools, and coordinate multi-agent teams using Drucker principles.
npx claudepluginhub caidish/cai-tools --plugin awesome-agentExpert API documenter specializing in creating comprehensive, developer-friendly API documentation. Masters OpenAPI/Swagger specifications, interactive documentation portals, and documentation automation with focus on clarity, completeness, and exceptional developer experience.
Expert code reviewer specializing in code quality, security vulnerabilities, and best practices across multiple languages. Masters static analysis, design patterns, and performance optimization with focus on maintainability and technical debt reduction.
Expert LLM architect specializing in large language model architecture, deployment, and optimization. Masters LLM system design, fine-tuning strategies, and production serving with focus on building scalable, efficient, and safe LLM applications.
Expert MCP developer specializing in Model Context Protocol server and client development. Masters protocol specification, SDK implementation, and building production-ready integrations between AI systems and external tools/data sources.
Expert performance engineer specializing in system optimization, bottleneck identification, and scalability engineering. Masters performance testing, profiling, and tuning across applications, databases, and infrastructure with focus on achieving optimal response times and resource efficiency.
Uses power tools
Uses Bash, Write, or Edit tools
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Skills for interacting with other AI tools - Codex, Gemini CLI, and collaboration fixes
Domain-specific expert agents for research, documentation, and specialized tasks
HelloAGENTS — The orchestration kernel that makes any AI CLI smarter. Adds intelligent routing, unified QA gates, safety guards, and notifications.
Production-grade engineering skills for AI coding agents — covering the full software development lifecycle from spec to ship.
This skill should be used when the model's ROLE_TYPE is orchestrator and needs to delegate tasks to specialist sub-agents. Provides scientific delegation framework ensuring world-building context (WHERE, WHAT, WHY) while preserving agent autonomy in implementation decisions (HOW). Use when planning task delegation, structuring sub-agent prompts, or coordinating multi-agent workflows.
Sub-agent runner — runs agent definitions on Codex, Claude Code, Cursor CLI, or Gemini CLI from any host AI tool.
Skills for scientific instrument control, data analysis, and paper review
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__)'
Skills for interacting with other AI tools - Codex, Gemini CLI, and collaboration fixes
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
A collection of Claude Code plugins containing custom agents, skills, commands, and notification hooks.
Tested with macOS Claude Code v2.0.76+.
The plugin is made conservative in context usage by keeping concise and precise writing.
Needed tools:
codex -V to check. (0.79.0+)gemini -v to check. (0.23.0+)jq -V to check. (1.8.1+).
brew install jq will install jq.MATHPIX_APP_ID and MATHPIX_APP_KEY to your environment. This is optional, but strongly encouraged for paper review skill.| Plugin | Description |
|---|---|
| awesome-agent | Collection of useful prompted subagents for code review, API docs, QA, and more. Variant from: awesome-claude-code-subagents |
| AI-skill | Skills for interacting with other AI tools - Codex, Gemini CLI, and collaboration fixes. Codex is a variant from Skill Codex |
| pushover | Pushover notification hooks - get notified when tasks complete or permissions are needed |
| mac | macOS integration - speak, send iMessages, emails, manage calendar, and display stickies |
Use codex and gemini-cli to review uncommitted changes.
Check this with codex
AI-skill:collob-fix Fix the bug showing here as ### Bug 3
after you finish, use mac to say "All done" and a brief summary of what you did.
Use imessage to send me (my email address/phone number) a message "Task complete" with the summary.
Can you add this to my stikies?
Use mac to generate today's calendar schedule with the information on my stikies.
Stop or UserPromptSubmit) to cancel escalations(a daemon that send notification by timing). I believe this is a limitation of Claude Code's current hook system, and should be addressed in future versions. We now use a simple session-level tracking to manage escalations. The Pushover is now very annoying because of the 60s, but it is a good push for me. You can change it here escalation serviceical.sh script reads all calendars but only writes to a calendar named "Agent". If your calendar contains sensitive information, be cautious when using this skill.claude plugin marketplace add /path/to/cAI-tools
You can enter claude interface and use /plugin to navigate to my marketplace and install each plugin.
# Install all plugins
claude plugin install awesome-agent@cAI-tools
claude plugin install AI-skill@cAI-tools
claude plugin install pushover@cAI-tools
claude plugin install mac@cAI-tools
Run the one-time setup to store your Pushover credentials in macOS Keychain:
./setup-service.sh
Get your credentials from pushover.net.
Paste this into a fresh Claude Code session:
Install and configure by following the instructions here https://raw.githubusercontent.com/caidish/cAI-tools/refs/heads/main/README.md
Instructions for LLM Agents
If you're an LLM Agent helping set up cAI-tools, Welcome! You'll help your user install a collection of useful Claude Code plugins. Greet them with: Your dish of cAI is served!
Follow these steps:
Clone the repository:
git clone https://github.com/caidish/cAI-tools.git ~/cAI-tools
Add the marketplace:
claude plugin marketplace add ~/cAI-tools