markdown
Every prompt I wrote was garbage.
Not because I don't know prompt engineering — I do. I just couldn't be bothered to write <role>, <constraints>, <success_criteria> every single time. So I'd type "build me a dashboard" and wonder why Claude gave me something I had to rewrite.
Sound familiar?
The problem is friction, not knowledge
You know a good prompt needs:
- A role definition
- Clear task description
- Explicit constraints
- Success criteria
- Context about your project
But writing all that for every task? Nobody does it consistently. So we all default to lazy prompts and get lazy outputs.
What I built
RePrompter is a skill file — not a SaaS, not an app, not a VS Code extension. It's a 1000-line SKILL.md that teaches your LLM to interview you before generating a prompt.
Here's what it looks like:
How it works
You type your messy prompt — "uhh build me a real-time analytics dashboard, needs charts and stuff, maybe websockets"
It asks 4 smart questions — not generic fluff. If you mention "tracking", it asks tracking questions. If you mention "API", it asks API questions. Clickable options, not free text.
It detects complexity — single file change? Quick mode, no interview. Frontend + backend + tests? Auto-suggests team mode with parallel agents.
It generates a structured prompt — XML-tagged output with
<role>,<task>,<constraints>,<success_criteria>. Ready to execute.It scores quality — before vs after, on 6 dimensions. Typical improvement: 1.6/10 → 9.0/10.
The team mode is where it gets interesting
When RePrompter detects your task spans multiple systems, it doesn't just write one prompt. It generates:
- A team coordination brief with handoff rules
- Per-agent sub-prompts with scoped responsibilities
- Shared contracts so agents don't drift
One messy sentence → 3 agents working in parallel with coordination rules.
Quality scoring
Every transformation is scored on 6 dimensions:
| Dimension | Weight |
|---|---|
| Clarity | 20% |
| Specificity | 20% |
| Structure | 15% |
| Constraints | 15% |
| Verifiability | 15% |
| Decomposition | 15% |
Most rough prompts score 1-3. RePrompter typically outputs 8-9+.
Installation (30 seconds)
bash
mkdir -p skills/reprompter
curl -sL https://github.com/AytuncYildizli/reprompter/archive/main.tar.gz | \
tar xz --strip-components=1 -C skills/reprompter
Works with Claude Code (auto-discovers SKILL.md), OpenClaw, or any LLM. Zero dependencies.
What it's NOT
- Not a SaaS with a monthly fee
- Not a Chrome extension
- Not a prompt library you copy-paste from
- Not model-specific — works with Claude, GPT, Gemini, anything
It's a behavioral spec that makes your LLM do the boring work of prompt engineering for you.
Try it
⭐ github.com/AytuncYildizli/reprompter
MIT licensed. PRs welcome — someone already submitted a bug fix on day one.
What's the laziest prompt you've ever written that actually worked? I'm curious.

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