From nickcrew-claude-ctx-plugin
Optimizes prompts for LLMs with structured techniques, evaluation patterns, and synthetic test data generation. Use for building AI features, improving agent performance, or crafting system prompts.
npx claudepluginhub nickcrew/claude-cortexThis skill uses the workspace's default tool permissions.
Craft, test, and iterate prompts that deliver reliable outputs across LLMs. Covers prompt optimization techniques, structured prompt design, synthetic test data generation, and evaluation methodology.
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.
Writes, refactors, and evaluates LLM prompts, generating optimized templates, structured output schemas, evaluation rubrics, and test suites for LLM applications.
Crafts advanced LLM prompts with chain-of-thought, constitutional AI, meta-prompting, and optimization techniques. Use for AI features, agent performance, system prompts.
Share bugs, ideas, or general feedback.
Craft, test, and iterate prompts that deliver reliable outputs across LLMs. Covers prompt optimization techniques, structured prompt design, synthetic test data generation, and evaluation methodology.
| Task | Load reference |
|---|---|
| Prompt techniques and patterns | skills/prompt-engineering/references/techniques.md |
| Synthetic test data generation | skills/prompt-engineering/references/synthetic-data.md |
When creating prompts, always display the complete prompt text in a clearly marked section. Never describe a prompt without showing it. The prompt must be copyable and self-contained.
For every prompt engineering task, produce: