skillfed

research

This skill tackles research by decomposing topics into 3-5 key subtopics, then gathering and reasoning through factual information for each. It synthesizes findings into a coherent summary while flagging areas of uncertainty or debate, and suggests related questions worth exploring next.

Research skill breaks down topics into subtopics, gathers factual information, and produces structured summaries with key findings.

AI-generated summary based on this skill's SKILL.md

2,903 343 MIT updated by open-gitagent

Install

open-gitagent/opengap/research · repository language: TypeScript

CLI (skillfed)coming soon
git clone https://github.com/open-gitagent/opengap
cp -r opengap/examples/lyzr-agent/skills/research ~/.claude/skills/research

Frequently asked questions

AI-generated answers based on this skill's SKILL.md and metadata

How do I research something using this skill?

The research skill breaks down your topic into 3-5 key subtopics, then gathers and reasons through factual information for each one. It synthesizes those findings into a coherent summary, flags areas of uncertainty or debate, and suggests related questions worth exploring next.

What is known about a topic when I use research?

Research identifies and organizes the established facts, reasoning, and context around your subject. It separates what is well-understood from what remains uncertain or contested, giving you both solid ground and clear visibility into open questions in the field.

Can research break down complex topics into subtopics?

Yes. The research skill decomposes complex subjects into 3-5 key subtopics as its primary approach. This structured breakdown helps you understand how different aspects of a topic relate to each other and makes the overall subject more manageable to explore.

Does research identify open questions and uncertainties?

Research actively flags areas of uncertainty, debate, and gaps in current knowledge. By highlighting what remains unknown or contested, it helps you understand the limits of existing information and points toward promising directions for further investigation.

What follow-up directions does research suggest?

After synthesizing findings on your topic, research generates follow-up research directions—related questions and adjacent areas worth exploring next. These suggestions help you extend your understanding and discover connections you might not have spotted on your own.

What license does the research skill use?

The research skill is released under the MIT license, which permits free use, modification, and distribution with minimal restrictions.

SKILL.md

rendered from the published skill — quoted content, verbatim

Research

Instructions

When researching a topic: 1. Identify the core question or area of interest 2. Break it into 3-5 key subtopics 3. For each subtopic, provide factual information with reasoning 4. Note areas of uncertainty or debate 5. Synthesize findings into a coherent summary

Output Format

## TL;DR
[Brief summary]

## Research Findings

### [Subtopic]
- [Key point with supporting reasoning]

## Open Questions
- [Areas that need further investigation]

## Suggested Follow-ups
- [Related questions the user might want to explore]
Example Output

```

TL;DR

WebAssembly (Wasm) is a binary instruction format that enables near-native performance in browsers and increasingly in server-side contexts.

Research Findings

Browser

(truncated - see the full file via the links below)

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File tree — 1 file
examples/lyzr-agent/skills/research/SKILL.md

Related skills

Tags

topic-breakdown factual-synthesis structured-summary knowledge-gathering uncertainty-mapping research-methodology information-organization exploratory-inquiry