Prompt Engineering Patterns
This is a comprehensive reference for prompt engineering techniques that goes beyond basic "write clear instructions" advice. It covers chain-of-thought reasoning, few-shot example selection strategies, template systems with variable interpolation, and systematic optimization workflows. You'd reach for this when building production LLM features that need consistent outputs, debugging flaky prompts, or implementing RAG systems with proper context handling. The included template library and optimization scripts are practical, though the real value is in the structured patterns like progressive disclosure and instruction hierarchy. It treats prompts as code worth versioning and testing, which is the right mindset if you're doing anything beyond one-off ChatGPT queries.
- skills.sh installs
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- GitHub stars
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- last updated
- Jun 3, 2026
Install
$ npx -y skills add sickn33/antigravity-awesome-skills --skill prompt-engineering-patterns --agent claude-codeInstalls into .claude/skills of the current project.
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Prompt Engineering Patterns
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability.
Do not use this skill when
- The task is unrelated to prompt engineering patterns
- You need a different domain or tool outside this scope
Instructions
- Clarify goals, constraints, and required inputs.
- Apply relevant best practices and validate outcomes.
- Provide actionable steps and verification.
Use this skill when
- Designing complex prompts for production LLM applications
- Optimizing prompt performance and consistency
- Implementing structured reasoning patterns (chain-of-thought, tree-of-thought)
- Building few-shot learning systems with dynamic example selection
- Creating reusable prompt templates with variable interpolation
- Debugging and refining prompts that produce inconsistent outputs
- Implementing system prompts for specialized AI assistants
Core Capabilities
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- Repository
- github.com/sickn33/antigravity-awesome-skills
- Category
- AI & Agent Building
- First seen
- Jun 3, 2026
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