Total 32,345 skills
Showing 12 of 32345 skills
Create and manage a git worktree for parallel feature development, then open the new worktree in the editor (code/Cursor) for a second Codex session. Use when the user asks to work on another feature simultaneously, run multiple features in parallel, spin up a parallel workspace, or open a new worktree even if they do not mention worktree explicitly.
LLM app development with RAG, prompt engineering, vector databases, and AI agents
Strengthen a raw user prompt into an execution-ready instruction set for Amp, Claude Code, or another AI agent. Use when the user wants to improve an existing prompt, build a reusable prompting framework, wrap the current request with better structure, add clearer tool rules, or create a hook that upgrades prompts before execution.
End-to-end Radius Network development playbook. Stablecoin-native EVM with sub-second finality and 2.8M+ TPS. Uses plain viem (defineChain, createPublicClient, createWalletClient) for all TypeScript integration. wagmi for React wallet integration. Foundry for smart contract development and testing. Covers micropayment patterns (pay-per-visit content, real-time API metering, streaming payments), x402 protocol integration, stablecoin-native fees via Turnstile, ERC-20 operations, event watching, production gotchas, and EVM compatibility differences from Ethereum.
Detect and remove AI-generated writing patterns from text while preserving semantic meaning and factual accuracy. Rewrites text to sound natural, varied, and human-authored across domains including academic, technical, blog, professional, and social media writing. Use this skill when the user asks to "humanize text", "make this sound human", "remove AI patterns", "rewrite to sound natural", "make this less AI", "de-slop this", "clean up AI writing", "make this not sound like ChatGPT", or provides AI-generated text and asks for a natural rewrite. Also trigger when reviewing drafts for AI tells, checking if text sounds AI-generated, or requesting a "human pass" on content.
Stormglass.io integration. Manage Organizations. Use when the user wants to interact with Stormglass.io data.
Auto-detects your test framework, runs the full suite, diagnoses failures, and fixes them. Use after making code changes to verify tests pass, or when you encounter test failures you want diagnosed and fixed automatically.
Strategic guidance on AI scaling laws, capability trajectories, and building products at the frontier of AI capabilities. Use when users ask about AI scaling trends, capability forecasting, planning AI product development timelines, understanding pretraining vs reinforcement learning phases, interpreting AI benchmark improvements, deciding when to build AI products that don't quite work yet, or strategizing around rapidly advancing AI capabilities. Also triggers for questions about task horizon doubling, Jevons paradox in AI, or how to position products for future model improvements.
Analyze and explore codebases using Repomix CLI. Use when: analyzing repositories, exploring code structure, finding patterns. Triggers on: 'analyze this repo', 'explore codebase', 'what's the structure'.
Code quality standards. Defines complexity management, modular design, code smell detection. Applied automatically when writing or reviewing code.
Reference for netlify.toml configuration. Use when configuring build settings, redirects, rewrites, headers, deploy contexts, environment variables, or any site-level configuration. Covers the complete netlify.toml syntax including redirects with splats/conditions, headers, deploy contexts, functions config, and edge functions config.
Strategic AI thinking frameworks and mental models from Satya Nadella's perspective on platform shifts, AI deployment, and building successful AI products. Use when evaluating AI strategy decisions, assessing platform opportunities, thinking through AI product positioning, considering enterprise AI deployment challenges, evaluating talent and team capabilities, or needing frameworks for justifying AI investments in terms of economic surplus. Triggers on questions about AI platform strategy, change management for AI adoption, building AI scaffolding layers, evaluating AI opportunities, or thinking through AI's societal implications.