ketchup

Generate technical research reports tailored to a user's professional background.

1|Updated Apr 3, 2026
One-click install
npx skills add https://github.com/SDS-Mode/ketchup --skill ketchup
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ketchup
Source: https://github.com/SDS-Mode/ketchup/tree/main/skills/ketchup
Command: npx skills add https://github.com/SDS-Mode/ketchup --skill ketchup

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires haiku, sonnet, opus, mcp, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

Ketchup solves the problem of understanding unfamiliar tools, technologies, or concepts by generating in-depth research reports tailored to the user's professional perspective.

Core Features & Use Cases

  • Perspective-Shaped Reports: Generates reports that are relevant to the user's occupation, using analogies and knowledge of assumed background.
  • Topic Research: Researches and reports on a wide range of topics, from specific technologies to broader concepts.
  • Plugin Integration: Integrates with various plugins for data prefetching and additional sources of information.
  • Output Formats: Provides output in both Obsidian and Jupyter Notebook formats, suitable for different types of users and use cases.

Quick Start

Set your perspective and research a topic with:

/ketchup --occ "Windows Systems Engineer" --tgt "SELinux Administration"

Frequently Asked Questions about ketchup

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

FAQPage Schema
How do I generate technical research reports tailored to my professional background?

Generate technical research reports tailored to your occupation by specifying your professional role and target topic. The system uses a multi-agent pipeline to shape the content with analogies relevant to your assumed background.

Can I output technical research reports directly to Obsidian or Jupyter Notebook formats?

Yes, you can output technical research reports directly to both Obsidian and Jupyter Notebook formats. This allows you to seamlessly integrate the generated in-depth research into your existing note-taking or data analysis workflows.

Does this research pipeline support MCP tools for data prefetching?

Yes, the research pipeline integrates with various MCP tools for data prefetching. This plugin integration allows the system to pull additional sources of information automatically before generating your in-depth technical reports.

How do I research an unfamiliar technology from the perspective of a specific occupation?

Research unfamiliar technologies from a specific occupational perspective by providing your job title and the target topic. The system processes these inputs in parallel to deliver an in-depth report using analogies suited to your profession.

What is the best way to run parallel research on multiple unfamiliar technical concepts?

The best way to run parallel research on unfamiliar technical concepts is through the multi-agent research pipeline. It supports parallel processing and MCP tool integration to efficiently prefetch data and compile comprehensive reports.