llm-prompt-engineering

SKILLWorkflowcommunauté
v0.0.0Jignesh-PonamwarApache-2.0Mis à jour il y a 2 moisSource →

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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5Étoiles du dépôt
1Clients
1Formats
il y a 2 moisDernière mise à jour
Skill
AuteurJignesh-Ponamwar
Version0.0.0
LicenceApache-2.0
CatégorieWorkflow
Formatsskill.md
PromptNon publié
Compatibilité
Claude✓ Pris en charge
Cursor
Copilot
ChatGPT
Gemini
À propos

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

Mots-clés
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