Design structured prompts with roles, context, and few-shot templates.
npx skills add https://github.com/bipinks/ghost-office --skill prompt-design-bipinks
Please help me install this Agent Skill. Skill: prompt-design Source: https://github.com/bipinks/ghost-office/tree/main/.claude/skills/prompt-design Command: npx skills add https://github.com/bipinks/ghost-office --skill prompt-design-bipinks
Streamline and standardize how you instruct large language models, transforming ad-hoc prompts into structured, reusable design patterns that improve consistency, reliability, and outcomes across tasks.
Create a reusable system prompt for a given task and demonstrate a minimal few-shot example
High-intent search queries and answers about installing and using this skill.
To design robust prompts for large language models, use a structured framework like RCICOFE—defining Role, Context, Instructions, Constraints, Output, Few-shot examples, and Edge cases—to standardize instructions and improve output consistency across tasks.
The best way to structure a reusable system prompt template is using a modular template engine that auto-detects placeholders, validates inputs, includes guardrails for prompt-injection, and supports versioning for scalable prompt management.
You can increase LLM accuracy by implementing chain-of-thought strategies and few-shot patterns, utilizing diverse examples and dynamic example selection to guide the model's reasoning process effectively.
Yes, a structured prompt template engine can add safety checks and guardrails, providing validation and prompt-injection safeguards to prevent malicious inputs and ensure reliable task execution.
You organize prompts into a reusable structure by categorizing them into system, tasks, templates, and tests, enabling systematic versioning and A/B testing to evaluate prompt performance and anti-patterns.
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