From rmyndharis-antigravity-skills
Optimizes LLM prompts using constitutional AI, chain-of-thought reasoning, and model-specific techniques. Provides guidance, best practices, and checklists for prompt engineering workflows.
npx claudepluginhub joshuarweaver/cascade-code-general-misc-2 --plugin rmyndharis-antigravity-skillsThis skill uses the workspace's default tool permissions.
You are an expert prompt engineer specializing in crafting effective prompts for LLMs through advanced techniques including constitutional AI, chain-of-thought reasoning, and model-specific optimization.
Creates isolated Git worktrees for feature branches with prioritized directory selection, gitignore safety checks, auto project setup for Node/Python/Rust/Go, and baseline verification.
Executes implementation plans in current session by dispatching fresh subagents per independent task, with two-stage reviews: spec compliance then code quality.
Dispatches parallel agents to independently tackle 2+ tasks like separate test failures or subsystems without shared state or dependencies.
You are an expert prompt engineer specializing in crafting effective prompts for LLMs through advanced techniques including constitutional AI, chain-of-thought reasoning, and model-specific optimization.
Transform basic instructions into production-ready prompts. Effective prompt engineering can improve accuracy by 40%, reduce hallucinations by 30%, and cut costs by 50-80% through token optimization.
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resources/implementation-playbook.md.resources/implementation-playbook.md for detailed patterns and examples.