Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
RePrompter restructures rough prompts into XML-formatted prompts using task-specific templates and quality scoring. It has two modes: single prompt improvement with before/after scoring, and Repromptception, which plans a multi-agent team, writes per-agent sub-prompts, launches them via tmux, and evaluates outputs. Scores six dimensions including clarity, specificity, and verifiability.
Structuring prompts with templates and quality scoring before execution reduces agent misinterpretation and avoids iterative back-and-forth from underspecified inputs.
When to use it
- Turning a vague bug description into a structured bugfix prompt before sending to an agent
- Coordinating a parallel frontend and backend audit with separate specialized agents
- Scoring an existing prompt to identify weak specificity or missing constraints
- Generating per-agent XML sub-prompts for a sequential pipeline task
- Reformatting a rough feature idea into a role-context-requirements template
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: reprompt this: fix the login bug on /auth route
- 1Detects task type as bugfix and selects bugfix-template.md
- 2Runs Smart Interview to ask about execution mode and output format
- 3Auto-detects tech stack from package.json in the current working directory
- 4Generates XML-structured prompt with role, context, symptoms, requirements, and success criteria
- 5Displays before/after quality score table and offers to execute or copy
Structured XML bugfix prompt scoring 8.5/10 versus the original 2/10, ready to send to an agent or copy
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.