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Chain-of-Thought
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LLM Prompt Optimization
llm-application-dev-prompt-optimize
sickn33/antigravity-awesome-skills
311
Guides expert prompt engineers through advanced LLM prompt optimization techniques—constitutional AI, chain-of-thought reasoning, and model-specific tuning—to boost accuracy, reduce hallucinations, and cut token costs.
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LLM Prompt Engineering
prompt-engineer
Jeffallan/claude-skills
248
Designs, refines, and evaluates prompts for LLM workflows, covering zero/few-shot, chain-of-thought, system personas, structured outputs, and testable evaluation suites to boost accuracy and efficiency.
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Prompt Engineering Patterns
prompt-engineering
rohitg00/awesome-claude-code-toolkit
432
Document describes structured prompts, chain-of-thought guidance, few-shot examples, system prompt design, and tooling advice for building reliable prompt engineering workflows in LLM-augmented products.
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Advanced Prompt Engineering Patterns
prompt-engineering-patterns
sickn33/antigravity-awesome-skills
170
Guides prompt engineers through advanced patterns for maximizing LLM reliability and controllability, covering few-shot selection, chain-of-thought, templates, system prompts, and validation workflows for production-grade applications.
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