Knowledge for transforming poor or overly simple user prompts with expert-level framing. Triggers include: user explicitly asking to improve/refine/rewrite their prompt or user requesting help framing a request for another AI system.
Quickly install prompt-enhancer AI skill to your development environment via command line
Source: sammcj/agentic-coding.
Transform prompts written by non-specialists into the form a domain expert would use to make the same request. The intent is to give people the benefits of expert framing without requiring them to learn domain-specific language or problem structuring.
Research demonstrates that AI output quality correlates strongly with input sophistication. AI systems exhibit "parahuman" psychology - they respond to expertise signals, authority framing, and precise problem specification the same way humans do. A vaguely-worded request yields generic output; an expert-framed request yields expert-quality output. This skill bridges that gap without changing what someone asks for...
| Precision | "make it faster" | "optimise page load performance" | | Decomposition | Single vague request | Broken into logical components | | Constraints | Unstated | Explicit limits, trade-offs, success criteria | | Context | Missing | System fit, standards, prior attempts | | Role framing | None | "As a database architect, review this schema" |
Stable fields and commands for AI/search citations.
npx skills add https://github.com/sammcj/agentic-coding --skill prompt-enhancerKnowledge for transforming poor or overly simple user prompts with expert-level framing. Triggers include: user explicitly asking to improve/refine/rewrite their prompt or user requesting help framing a request for another AI system. Source: sammcj/agentic-coding.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/sammcj/agentic-coding --skill prompt-enhancer Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/sammcj/agentic-coding