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despicable-prompter

Transform unstructured input and GitHub issues into structured /nefario task briefings.

Updated Feb 9, 2026
Search Tags:#workflow automation#prompt engineering#github issues#agent commands#task briefing
One-click install
npx skills add https://github.com/benpeter/despicable-agents --skill despicable-prompter
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: despicable-prompter
Source: https://github.com/benpeter/despicable-agents/tree/main/skills/despicable-prompter
Command: npx skills add https://github.com/benpeter/despicable-agents --skill despicable-prompter

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the process of translating vague ideas or GitHub issues into clear, structured commands for the /nefario agent, ensuring that complex tasks are well-defined before execution.

Core Features & Use Cases

  • Input Transformation: Converts rough text or issue references into a /nefario briefing format.
  • Issue Integration: Fetches GitHub issue details to enrich the briefing process.
  • Use Case: You have a GitHub issue describing a bug. You can use /despicable-prompter #123 to automatically generate a /nefario task to fix the bug, including a clear outcome, success criteria, and scope.

Quick Start

Use the despicable-prompter skill to turn issue number 42 into a structured briefing.

Frequently Asked Questions about despicable-prompter

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert a GitHub issue into a structured task briefing automatically?▼

To convert a GitHub issue into a task briefing, the Skill fetches issue details and transforms them into a structured command format. It automatically generates clear outcomes, success criteria, and scope from the issue text.

What is the best way to translate vague ideas into actionable agent commands?▼

Translating vague ideas into actionable agent commands involves classifying the input as well-formed, vague, or implementation-heavy. The Skill then tailors the output structure to ensure complex tasks are well-defined before execution.

How do I generate a task briefing from unstructured text for workflow automation?▼

Generating a task briefing from unstructured text requires parsing the input and formatting it into structured commands. The Skill processes rough text references and outputs a defined task format with clear execution parameters.

Can I fetch GitHub issue details directly to enrich prompt engineering tasks?▼

Yes, you can fetch GitHub issue details directly to enrich prompt engineering tasks. The Skill supports automated issue fetching, allowing you to use issue references to generate structured briefings with defined outcomes.

How does input classification improve task briefing generation?▼

Input classification improves task briefing generation by categorizing text as well-formed, vague, or implementation-heavy. This allows the Skill to tailor the structured output format specifically to the complexity of the provided input.

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