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smartgift-claude-skills/plugins/common/skills/prompt-sharpening/SKILL.md
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name, description
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prompt-sharpening Use when a user's request is short, vague, terse, or could reasonably be interpreted more than one way, before investigating or writing any code — expands the raw ask into an explicit interpretation set, surfaces assumptions, and defines success criteria so execution matches intent on the first try.

Prompt Sharpening

Overview

Clear-sounding requests often hide multiple interpretations — silence that ambiguity by running this pass before acting.

The pass (do this before investigating, and again after a first skim)

  1. Literal ask — restate what was actually said, no elaboration.
  2. Plausible interpretations — list every reading that changes what you'd build or which files you'd touch. Actively check: does this specific project have an obvious candidate the words don't rule out but also don't name? (e.g. "trang chủ"/"homepage" in a project whose actual flagship surface is a heavy 3D experience gated behind that homepage — that's a candidate, not a footnote.)
  3. Diverge or converge? If the interpretations lead to the same first investigative step (same files, same starting point), proceed and state your assumption inline as you go. If they diverge — different files, meaningfully different effort/risk, or a decision only the user can make — ask ONE targeted question before doing real work (AskUserQuestion if options are enumerable). Don't ask about things that don't change what you'd do.
  4. Success criteria — state a concrete, checkable definition of "fixed"/"done" before starting, derived from the user's actual complaint. Don't invent metrics after the fact that happen to match whatever you built.
  5. Scope boundary — one line on what this will NOT touch, so a small ask doesn't quietly grow.

Rationalizations to reject

Excuse Reality
"The problem statement is clear enough" Clear-sounding ≠ unambiguous. If 2+ real interpretations lead to different files or effort, it isn't clear.
"Asking wastes time" One targeted question costs 10 seconds. Building the wrong fix costs a full redo.
"I skimmed and found a plausible cause" Skimming finds A pattern, not THE pattern. Check for the project's own obvious candidate before settling on the generic one.
"I'll define success after I see what I built" Post-hoc criteria bend to match the output. Define them first, from the complaint as stated.

Handoff mode

If the sharpened result is meant for a different AI/session/agent (not yourself), the bar is higher: the output must be fully self-contained — exact file paths, decisions already made, what's explicitly out of scope, and a concrete success check. No "as discussed above" — the reader has no "above."