By caioniehues
39 eval-informed thinking skills and mental models for Claude Code
When planning work where optimism may be hiding risks, ask "how would I guarantee this fails?" — enumerate failure paths, then turn the top ones into explicit requirements to avoid.
Use when interpreting a test result, metric, or new evidence and you risk over-reacting to it. State the base rate first, then update belief by the likelihood ratio.
Use when the same problem keeps recurring despite fixes, growth stalled with no obvious cause, or a quick fix made things worse—match it to a known structural pattern instead of re-diagnosing.
Use when a search or investigation could run indefinitely and you need a stopping rule. Set an explicit "good enough" threshold and stop at the first option that clears it.
Use when you're unsure whether you actually know the answer. If you lack the evidence or context to answer reliably, abstain, ask, or fetch it — don't confabulate a confident reply.
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39 Mental Models and Critical-Thinking Frameworks for Claude Code
Claude Code Thinking Skills is a collection of 39 mental-model and critical-thinking frameworks for Claude Code that give Anthropic's AI coding agent structured ways to reason about decisions, debugging, systems, risk, and strategy. Each skill packages a proven thinking framework — from first-principles reasoning to the theory of constraints — into a Claude Code skill you can invoke by name, and the whole collection is backed by a transparent, replication-gated evaluation pipeline.

| What it is | A library of 39 mental-model and critical-thinking skills for Claude Code. |
| Who it's for | Engineers, founders, and analysts who want Claude Code to reason with structured frameworks instead of ad-hoc heuristics. |
| How to start | Install via the plugin marketplace, then invoke thinking-model-router to be routed to the right skill. |
| License | MIT — free to use, modify, and distribute. |
| Evidence | Every skill ran through a replication-gated Elevate-or-Kill evaluation pipeline. The honest headline: zero skills currently hold a robust, replicated ELEVATE verdict — and we publish that result rather than hide it. |
| Entry point | thinking-model-router → START HERE |
Most "AI prompt pack" repositories claim their content makes models smarter and never test the claim. This project did the opposite: it built an objective, length-controlled, replication-gated evaluation harness and ran all 39 skills through it. The result is documented openly, including the inconvenient finding that no skill yet meets the bar for a proven, replicated accuracy gain.
That rigor is the point. These skills are useful structured-reasoning scaffolds grounded in established frameworks, and the evaluation methodology is honest enough to tell you exactly how strong the evidence is. Transparency over hype is the standard here.
Install directly in Claude Code using the plugin system:
# Add the marketplace
/plugin marketplace add tjboudreaux/cc-thinking-skills
# Install the plugin
/plugin install thinking-skills@thinking-skills-marketplace
Clone and copy skills directly:
# Clone the repository
git clone https://github.com/tjboudreaux/cc-thinking-skills.git
# Copy skills to your global Claude Code config
cp -r cc-thinking-skills/skills/* ~/.claude/skills/
# Or copy to a specific project
cp -r cc-thinking-skills/skills/* /path/to/your/project/.claude/skills/
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Self-learning system for Claude Code that captures corrections and updates CLAUDE.md automatically
Caio's personal ADHD-friendly output shaping for Claude Code. Ships an always-on output style that auto-applies while the plugin is enabled; /i-have-adhd:apply re-applies the rules mid-session; /i-have-adhd:interview turns a vague prompt into a spec via tappable question rounds.
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No description provided.
npx claudepluginhub caioniehues/cc-thinking-skillsComprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
This skill should be used when users need to generate ideas, explore creative solutions, or systematically brainstorm approaches to problems. Use when users request help with ideation, content planning, product features, marketing campaigns, strategic planning, creative writing, or any task requiring structured idea generation. The skill provides 30+ research-validated prompt patterns across 14 categories with exact templates, success metrics, and domain-specific applications.
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A growing collection of Claude-compatible academic workflow bundles. Covers scientific figures, manuscript writing and polishing, reviewer assessment, citation retrieval, data availability, paper reading, literature search, response letters, paper-to-PPTX conversion, and evidence-grounded Chinese invention patent drafting. Rules are organized as reusable skill folders with explicit workflows and quality checks.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Consult multiple AI coding agents (Gemini, OpenAI, Grok, Perplexity, plus codex, antigravity, and grok CLIs when installed) to get diverse perspectives on coding problems