Prompt Builder
Prompt Policy Engine. Classify, diagnose, rewrite, and score prompts calibrated to model tier and deployment context. Callable by agents, tools, humans.
Install
claude plugin marketplace add tyroneross/RossLabs-AI-Toolkit
claude plugin install prompt-builder@rosslabs-ai-toolkitThe Problem
Prompts are rewritten by vibes. A prompt tuned for Opus backend use gets pasted into a Haiku mobile app and underperforms, but nobody can point to which dimension regressed. “Improve this prompt” returns a longer version that is not measurably better.
What I Built
Feed it a raw prompt and get back a structured rewrite, a 5-dimension score, the top three issues, tagged assumptions, and a temperature hint, all calibrated to the model tier and deployment you name.
Impact
Scoring runs alongside rewriting, so iterations are measurable rather than vibes-based. Tagged assumptions keep the rewrite honest about what it invented. The shared contract makes the skill callable by other plugins, agents, or humans through the same interface.
How It Works
Every call returns a fixed contract:
- A 6-Part-Stack prompt: Role, Task, Constraints, Context, Output Format, Acceptance Criteria
- A 5-dimension score: Accuracy, Clarity, Constraint Strength, Output Determinism, Completeness
- Top 3 diagnosed issues in the original
- Tagged assumptions (
[ASSUMED: ...]) the caller should confirm - A runtime
TEMPERATURE_HINT - Regression detection when iterating on a prior version
Calibration covers model tier (T1 frontier, T2 mid, T3 small or fast) and deployment (interactive, backend, rag_pipeline, agent, plugin, eval_judge, personal_mobile). The same prompt emerges differently for each pairing.