Prompt Sharpener
SkillAI & modelsSharpen a rough prompt into a precise one - same intent, sharper not longer - then execute the sharpened version immediately in the same turn.
Available today. Use it from your connected AI after setup.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Prompt Sharpener skill
What this skill tells your AI
The instructions your AI receives, as published by giang6283623/minimal-vibe-coding-kit in .agents/skills/prompt-sharpener/SKILL.md and read by ahel’s review.
The text the user types after the invocation is the raw prompt. Upgrade it into a prompt that is sharper, not longer - keep the original intent, constraints, and language - then execute the upgraded version immediately in the same turn. No text after the invocation → ask the user what they want and stop.
Step 1 - Diagnose the raw prompt
Scan for every ailment below; each ailment found gets its cure applied directly in the upgraded prompt. Cure silently; call out a cure only when it could shift the user's intent.
- Vague verbs or adjectives ("help me", "make it nicer") → concrete, measurable operations and parameters.
- Two tasks in one prompt → split into an explicit execution order.
- No success criteria → add a binary pass/fail
Done when. - Emotional description ("everything is broken") → extract the specific technical symptom.
- "The whole app" scope → pin exact files/functions/directories; coding tasks always get a scope lock (edit only inside X, leave the rest untouched).
- Relies on memory of an old session → copy the decisions already settled in this conversation (stack, architecture, what was tried and failed) into the
Contextblock. - Invitation to fabricate ("what do experts say about X?") → anchor grounding: state only what can be verified; when unsure, say so explicitly.
- No output format → fix the structure and length; when the format is hard to describe in words, include 2-3 sample examples (including an edge case) in the
Output Contract.
Done when: the raw prompt has been checked against the full list and no ailment is left without its cure in the upgraded prompt.
Step 2 - Build the upgraded prompt
Classify the task (coding / research / writing / analysis / planning / review), then assemble blocks in this order - add a block only when it raises precision; small tasks need just 2-3 blocks:
Objective → Context → Work Style → Tool Rules → Output Contract → Verification → Done Criteria
Focus per task type:
- Coding: scope lock, smallest correct change, validation after the edit - default to the
validatecommand inbackbone.ymlwhen the repo has one. - Research: source quality, citations, explicit uncertainty.
- Writing: audience, voice, length.
- Review: group findings by severity, name the failure mode.
Construction rules:
- Write constraints with the strongest signal words: MUST instead of "should", NEVER instead of "avoid".
- Missing information → state the assumption in
Contextand keep going; stop to ask only when the task is destructive or irreversible. - Say what to verify; let the model regulate its own depth of thought.
- Repo work MUST respect
backbone.ymlconventions and protected paths; when the upgraded task is a large decomposition or a risky decision, itsWork Styleblock may direct Step 3 to open with thesequential-thinkingorclearthoughtskill. - Closing audit: reread every sentence; if cutting it would not change the output, cut it - every remaining word is load-bearing.
Done when the upgraded prompt scores on all 6 points: intent preserved - ambiguity reduced - right depth - clear output - has verification - has a stopping point.
Step 3 - Present and execute
Print the upgraded prompt in a single code block, with at most 2 sentences on the key changes. Then treat it as the user's official request: start executing immediately in the same turn, researching and editing according to its own Tool Rules.
Done when the upgraded prompt's Done Criteria are satisfied.
Signals
- GitHub stars
- 27
- Forks
- 3
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
prompt-sharpener- Source
- github.com/giang6283623/minimal-vibe-coding-kit