I stopped writing prompts. Here's what I use instead.

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

1. You type your messy prompt — "uhh build me a real-time analytics dashboard, needs charts and stuff, maybe websockets"

2. 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.

3. It detects complexity — single file change? Quick mode, no interview. Frontend + backend + tests? Auto-suggests team mode with parallel agents.

4. It generates a structured prompt — XML-tagged output with <role>, <task>, <constraints>, <success_criteria>. Ready to execute.

5. 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.

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What's the laziest prompt you've ever written that actually worked? I'm curious.

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