By GGPrompts
Problem-solving frameworks - collision zones, meta-patterns, inversion, scale games
This repository contains my curated Claude Code plugins, synced from GGPrompts.
This plugin follows the official Anthropic plugin format:
.claude-plugin/
plugin.json # Plugin manifest
commands/ # Slash commands
agents/ # Subagents
skills/ # Skills (each in its own directory)
hooks/ # Hook configurations
Clone this repo and load it in Claude Code:
git clone https://github.com/YOUR_USERNAME/my-gg-plugins.git
cd my-gg-plugins
claude plugin load .
Or add it to your Claude Code settings to auto-load on startup.
Visit ggprompts.com/claude-code/toolkit to:
Managed by GGPrompts - The control plane for your Claude Code setup
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
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Sign in to claimTabzChrome integration: spawn terminals, browser automation, and project integration via HTML/WebSocket/JS API
Orchestrate Claude Code workers with tmux — spawn, monitor, coordinate, and speak across parallel sessions
Generate handoff, clear context, and auto-continue in fresh session
Bubble Tea TUI framework patterns for Go terminal applications
Git shortcuts - /git:cm (commit), /git:cp (commit+push), /git:pr (create PR)
npx claudepluginhub ggprompts/my-plugins --plugin problem-solving39 eval-informed thinking skills and mental models for Claude Code
A deterministic thinking partner that challenges assumptions and applies 150+ mental models to sharpen decisions, solve problems, and think more clearly. Features orientation detection, cognitive operations framework, and structured diagnostic workflows.
Deep analysis mode with extended reasoning for complex problems
The Answer Computer — reasoning tools for brainstorming, planning, architecture design, and deep thinking
Comprehensive collection of 33 production-ready skills for strategic thinking, decision-making, research methods, architecture design, and problem-solving. Includes frameworks like Bayesian reasoning, kill criteria, layered reasoning, information architecture, and more.
Structured thinking methods that counteract LLM reasoning biases during problem exploration — first principles, inversion, constraint manipulation, perspective forcing, analogy search, and more, with user-gated parallel subagent exploration for deep dives