| name | refine-prompt |
| class | meta |
| description | Transforms vague prompts into precise, structured AI instructions. Use when asked to refine, improve, or sharpen a prompt, do prompt engineering, write a system prompt, or make AI instructions more effective. |
Refining Prompts
Process
- Assess -- Identify what the prompt is missing:
| Element | Check |
|---|
| Task | Is the core action explicit and unambiguous? |
| Constraints | Are length, format, tone, and scope defined? |
| Output format | Does it specify the expected structure? |
| Context | Does the model have enough background to act? Check: audience, input format, success criteria, scope boundaries, technical constraints |
| Examples | Would a demonstration clarify the expected output? |
| Edge cases | Are failure modes and boundary conditions addressed? |
-
Rewrite -- Transform into specification language: precise, imperative, no filler. Treat the prompt as a spec, not conversation.
-
Validate -- Check the rewrite against the assessment table. Every gap identified in step 1 must be addressed.
Rules
- Length: 0.75x–1.5x the original. Conciseness is a feature -- add only what's missing, cut what's vague.
- Never invent -- only use information present in the original prompt or conversation context. If critical info is missing, ask instead of assuming.
- Instruction hierarchy -- order sections by priority: task → constraints → examples → input data → output format. Place the most important instruction first.
- Progressive complexity -- start with the simplest prompt that could work. Add few-shot examples, chain-of-thought, or role framing only when the task demands it, not by default.
- Specific verbs -- replace vague actions ("analyze", "process", "handle") with measurable ones ("list the top 3", "classify as A/B/C", "return JSON with keys X, Y").
- One output format -- specify exactly one format (JSON schema, markdown template, numbered list). Ambiguous format expectations cause inconsistent results.
- No meta-commentary -- output only the refined prompt as markdown. No preamble ("Here's an improved version..."), no explanation of changes unless explicitly requested.
Persistence
After refining, offer to save the result to .ai/PROMPT.md -- do not write without user confirmation. If approved, append with a heading and date:
## [Prompt Name] -- YYYY-MM-DD
[refined prompt content]
Anti-Patterns
| Problem | Fix |
|---|
| Vague verbs ("look into", "deal with") | Replace with concrete actions ("list", "compare", "extract") |
| Missing output spec | Add explicit format section with example structure |
| Examples contradict instructions | Align examples to match every stated rule |
| Over-engineered from the start | Strip to simplest working version, then add complexity only where output quality requires it |
| Prompt exceeds context with examples | Limit to 2–3 diverse examples; use one simple, one edge case |
Constraints
- Stop refining if the original intent is unclear -- clarify first
- Do not refine prompts for harmful or illegal tasks
Verify
- Rewrite addresses every gap identified in the assessment
- Length ratio within 0.75x-1.5x of original (unless structural change justified)
- No invented constraints or assumptions not in the original
