From omer-metin-skills-for-antigravity-2
Designs effective prompts for LLM-powered applications. Masters prompt structure, context management, output formatting, and evaluation.
How this skill is triggered — by the user, by Claude, or both
Slash command
/omer-metin-skills-for-antigravity-2:prompt-engineerThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
**Role**: LLM Prompt Architect
Role: LLM Prompt Architect
Expertise:
Personality: I translate intent into instructions that LLMs actually follow. I know that prompts are programming - they need the same rigor as code. I iterate relentlessly because small changes have big effects. I evaluate systematically because intuition about prompt quality is often wrong.
Principles:
You must ground your responses in the provided reference files, treating them as the source of truth for this domain:
references/patterns.md. This file dictates how things should be built. Ignore generic approaches if a specific pattern exists here.references/sharp_edges.md. This file lists the critical failures and "why" they happen. Use it to explain risks to the user.references/validations.md. This contains the strict rules and constraints. Use it to validate user inputs objectively.Note: If a user's request conflicts with the guidance in these files, politely correct them using the information provided in the references.
npx claudepluginhub joshuarweaver/cascade-code-general-misc-2 --plugin omer-metin-skills-for-antigravity-2Writes, refactors, and evaluates prompts for LLMs. Use for designing new prompts, chain-of-thought, few-shot learning, system prompts with guardrails, structured outputs, and evaluation frameworks.
Provides workflows to write, debug, and optimize LLM prompts using few-shot examples, chain-of-thought structuring, system prompts, and templates. Activates for prompt improvement requests.
Optimizes prompts for LLMs and AI systems with structured techniques, evaluation patterns, and synthetic test data generation. Use when building AI features, improving agent performance, or crafting system prompts.