forge-prompt-engineering

What problem does it solve?

Forge-prompt-engineering helps you design LLM prompts that behave reliably in production by treating prompts like production interfaces: versioned, structured, validated, and resilient to injection and drift.

Core Features & Use Cases

• Layered, contract-style prompt structure: define role, task, constraints, output format, and examples to improve adherence on real user inputs.
• Strict structured output and validation guidance: enforce JSON schemas and parser-validated outputs so responses fail safely instead of silently drifting.
• Anti-injection and data separation patterns: treat user content and retrieved context as data, clearly delimited from instruction layers.
• Operational prompt hygiene checklist: avoid known failure modes such as boilerplate roles, f-string interpolation into system prompts, missing versioning, unpinned model aliases, and missing refusal/low-confidence paths.
• Verifier workflow for prompt code: provides a shell verifier to flag common prompt mistakes in prompt implementation files.

Quick Start

Use the skill to audit your LLM prompt codebase and ensure system prompts are layered, versioned, and safe against user-instruction injection.