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comet-ml

TypeScript SDK patterns for Opik. Use when working in sdks/typescript.

telum-ai

Resumen localizado: Step 1: Read Current State Read .speck/project.json to determine current play level. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

frmoretto

Don't let AI destroy your hard work! HardStop is a rock-solid protection for AI-generated commands. Pre-execution safety validation for Claude Code, Claude Cowork. Catches dangerous commands before they run: whether from AI mistakes, hallucinations, prompt injection, or misunderstood instructions. Seatbelts for the agentic AI era.

JustinWangJP

Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt templates.

nicepkg

Copy AI conversations as clean Markdown Context Bundles — one click from ChatGPT, Claude, Gemini, DeepSeek, Grok & GitHub. Copy from sidebar without opening. Zero upload, 100% local, open source.

gonzoblasco

Resumen localizado: 🔬 Advanced LLM evaluation framework for testing and comparing prompt variants with an AI Judge. It covers ai-testing, anthropic, llm-evaluation workflows. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

ngxtm

Expert prompt engineer specializing in advanced prompting

majiayu000

Expert prompt engineer specializing in advanced prompting

rmyndharis

Expert prompt engineer specializing in advanced prompting

jcafazzo

Resumen localizado: # Prompt Engineer Expert prompt engineer specializing in designing, optimizing, and evaluating prompts that maximize LLM performance across diverse use cases. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

nopkhun

Resumen localizado: # AI Best Prompt Optimizer and Composer Transform prompts from functional to exceptional through deep analysis, strategic optimization, and iterative refinement. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

Jeffallan

Use when designing prompts for LLMs, optimizing model performance, building evaluation frameworks, or implementing advanced prompting techniques like chain-of-thought, few-shot learning, or structured outputs.