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NewEarthAI
NewEarthAICOMMUNITY
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ki-research

Automate deep research into project codebase, memory, and documentation, outputting a structured JSON brief.

Updated Aug 27, 2026
Search Tags:#codebase analysis#project analysis#research automation#AI-driven research#structured brief
One-click install
npx skills add https://github.com/NewEarthAI/vibecode-project-template --skill ki-research
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ki-research
Source: https://github.com/NewEarthAI/vibecode-project-template/tree/main/.claude/skills/ki-research
Command: npx skills add https://github.com/NewEarthAI/vibecode-project-template --skill ki-research

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the deep research process into project content and insights, synthesizing findings into a structured research brief.

Core Features & Use Cases

  • Deep Research Automation: Invoked via SSH-Execute for approved research actions, searching codebase, memory, and docs.
  • Structured Briefs: Outputs a structured research brief that includes findings, implications, and recommendations.
  • Use Case: When a research action is approved, use this Skill to analyze the project context and produce a research brief that connects discovered content to the project.

Quick Start

Run the ki-research skill with the prompt: "Research the implications of the latest KI content for our project."

Frequently Asked Questions about ki-research

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

FAQPage Schema
How do I automate deep research into a project codebase and documentation?▼

Automating project codebase analysis requires a tool that searches project memory, documentation, and code to synthesize findings into a structured brief. This skill executes approved research actions to connect discovered content directly to your project context.

What is a structured research brief and how does it organize codebase findings?▼

A structured research brief organizes codebase analysis findings into a JSON block containing a summary, detailed findings, and actionable recommendations. It connects discovered project content and insights directly to your project implications.

Do I need memory files and documentation to perform AI-driven project research?▼

Yes, AI-driven project research requires access to your project codebase, memory files, and documentation. The skill searches these combined sources to automate deep analysis and produce accurate research briefs.

Can I use SSH-Execute to run research automation on a remote project context?▼

Yes, research automation is invoked via SSH-Execute for approved research actions. This allows the skill to securely access and search the remote project codebase, memory files, and documentation to generate structured findings.

What's the best way to research implications of new content for an existing project?▼

The best way to research content implications is running an automated analysis that searches your project context and synthesizes a structured brief. This connects discovered content to your project, outputting findings and recommendations as a JSON block.

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