llm-prompt-engineering

SKILLFlujo de trabajocomunidad
v0.0.0Jignesh-PonamwarApache-2.0Actualizado hace 2 mFuente →

Design effective prompts for large language models - chain-of-thought reasoning, few-shot examples, role assignment, XML structure, output format control, temperature tuning, and prompt chaining for multi-step tasks. Covers both general LLM prompting and model-specific best practices for Claude, GPT

Community-submitted skill. Not yet reviewed by the Forge team. Full prompt content may not be available.Request review →
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hace 2 mÚltima actualización
Skill
AutorJignesh-Ponamwar
Versión0.0.0
LicenciaApache-2.0
CategoríaFlujo de trabajo
Formatosskill.md
PromptNo publicado
Compatibilidad
Claude✓ Compatible
Cursor
Copilot
ChatGPT
Gemini
Acerca de

Design effective prompts for large language models - chain-of-thought reasoning, few-shot examples, role assignment, XML structure, output format control, temperature tuning, and prompt chaining for multi-step tasks. Covers both general LLM prompting and model-specific best practices for Claude, GPT-4o, and Gemini. Use when writing system prompts, designing AI agent instructions, improving LLM out

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