llm-prompt-engineering

SKILLWorkflowCommunity
v0.0.0Jignesh-PonamwarApache-2.0Aktualisiert vor 2 Mon.Quelle →

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

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5Repo-Sterne
1Clients
1Formate
vor 2 Mon.Letzte Aktualisierung
Skill
AutorJignesh-Ponamwar
Version0.0.0
LizenzApache-2.0
KategorieWorkflow
Formateskill.md
PromptNicht veröffentlicht
Kompatibilität
Claude✓ Unterstützt
Cursor
Copilot
ChatGPT
Gemini
Über

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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