research

Document technical questions and errors into structured Markdown research reports.

3|2|Updated Apr 3, 2026
One-click install
npx skills add https://github.com/fluxforgeai/ARTEMIS --skill research-fluxforgeai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research
Source: https://github.com/fluxforgeai/ARTEMIS/tree/main/.claude/skills/research
Command: npx skills add https://github.com/fluxforgeai/ARTEMIS --skill research-fluxforgeai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill centralizes and documents technical investigations so teams can understand, reproduce, and act on issues without duplicating research effort. It converts ad-hoc queries, error messages, and topic investigations into repeatable, sourced reports stored in the repo.

Core Features & Use Cases

  • Structured Research Reports: Produces templated Markdown reports with TL;DR, official documentation findings, community knowledge, best practices, and sources.
  • Evidence-Backed Synthesis: Combines official docs, Stack Overflow, GitHub issues, and internal findings to surface actionable guidance and common pitfalls.
  • Use Case: An engineer encountering a flaky GCS resumable upload error runs the skill to produce a dated research file that captures docs, community workarounds, and recommended mitigations for the team.

Quick Start

Run /research with your question or pasted error message to produce a sourced research report and save it to docs/research/.

Frequently Asked Questions about research

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

FAQPage Schema
How do I document technical research for API errors and integration behaviors?

Document technical research by compiling API errors and integration behaviors into structured Markdown reports. These reports include a TL;DR, official documentation findings, community workarounds, best practices, and source citations saved directly to your repository.

What is the best way to create a knowledge base report from a runtime error?

Creating a knowledge base report from a runtime error involves synthesizing official documentation with community findings from sources like GitHub issues and Stack Overflow. This process surfaces actionable guidance and common pitfalls into a repeatable, sourced technical document.

Can I automatically generate a research report with a TL;DR and source citations?

Yes, you can generate a research report with a TL;DR and source citations. The skill produces templated Markdown files that combine official docs, community knowledge, and internal findings into a structured report with dated entries.

How do I structure technical documentation for investigating source citations and community workarounds?

Structure technical documentation by applying a templated format that separates findings into TL;DR, official docs, community knowledge, best practices, and sources. This ensures source citations and community workarounds are systematically captured for team reproduction.

Does this research approach work for ad-hoc queries and pasted error messages?

Yes, this research approach works for ad-hoc queries and pasted error messages. It converts isolated technical questions and runtime errors into centralized, repeatable research reports, preventing duplicated investigation effort across engineering teams.

Why centralize technical investigations into a repository's documentation folder?

Centralize technical investigations into a repository's documentation folder to ensure teams can understand, reproduce, and act on issues without duplicating research effort. Reports are saved to docs/research for accessible knowledge base creation.