Research And Summarize

Organization

DevelopersGlobal

research-and-summarize

Distill complex topics into layered, actionable summaries. Start with the key insight, layer in detail, end with recommended next action.

Overview

Publisher	DevelopersGlobal
Repository	`ai-agent-skills`
Skill name	`research-and-summarize`
Stars	212
Forks	33
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by DevelopersGlobal on GitHub. Read the source before you install it.

Installation

Install the Research And Summarize AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/DevelopersGlobal/ai-agent-skills/tree/main/skills/research-and-summarize
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/DevelopersGlobal/ai-agent-skills/tree/main/skills/research-and-summarize

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/DevelopersGlobal/ai-agent-skills.git /tmp/ai-agent-skills
mkdir -p .claude/skills
cp -r /tmp/ai-agent-skills/skills/research-and-summarize .claude/skills/research-and-summarize

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Research And Summarize in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Research And Summarize on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Research And Summarize is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Overview

Information overload is the default state. This skill transforms any research task into a structured summary: headline insight first, context second, detail third, action last. Designed for decision-makers who need clarity, not comprehensiveness.

When to Use

Summarizing technical documentation or papers
Researching a technology choice
Briefing a team on a topic
Distilling a long document for a specific decision

Process

Step 1: Define the Research Question

State the specific question being answered: "Should we use Kafka or RabbitMQ for our event pipeline?"
State who the answer is for and what decision it enables.
This scopes the research — don't gather information beyond what the decision needs.

Verify: Research question is specific enough to have a clear answer.

Step 2: Gather and Evaluate Sources

Identify 3–5 high-quality, authoritative sources.
For each source, note: recency, authority, potential bias.
Cross-reference key claims across sources.
Flag conflicting information — don't silently pick one side.

Verify: Key claims are supported by at least 2 independent sources.

Step 3: Write the Layered Summary

Headline (1 sentence): The single most important insight.
Key findings (3–5 bullets): Supporting evidence for the headline.
Context and nuance (1–2 paragraphs): Caveats, tradeoffs, conditions under which the headline doesn't hold.
What we don't know: Gaps in the available information.
Recommended action: Given the findings, what should the reader do next?

Deliver: A structured summary with all 5 sections.

Step 4: Cite Sources

Every factual claim is linked to a source.
Include the date of each source (recency matters in fast-moving fields).

Verify: Every claim has a citation.

Common Rationalizations (and Rebuttals)

Excuse	Rebuttal
"The topic is too complex to summarize"	The goal is to enable a decision, not to be comprehensive. Scope to the decision.
"I'll just share the links"	Links are not summaries. Distillation is the value.

Verification

Research question defined before research begins
Key claims cross-referenced across 2+ sources
Summary has: headline, findings, context, unknowns, action
Every factual claim has a citation with date

Frequently asked questions

What does the Research And Summarize AI skill do?

Distill complex topics into layered, actionable summaries. Start with the key insight, layer in detail, end with recommended next action.

Why use Research And Summarize on TypingMind?

Because you install it once and use it with any model. Research And Summarize is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Research And Summarize in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/DevelopersGlobal/ai-agent-skills/tree/main/skills/research-and-summarize. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Research And Summarize?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Research And Summarize?

As many as you like. As long as a model supports skills, you can use Research And Summarize with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Research And Summarize AI skill free?

Yes. It is published on GitHub by DevelopersGlobal under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Overview

When to Use

Process

Step 1: Define the Research Question

Step 2: Gather and Evaluate Sources

Step 3: Write the Layered Summary

Step 4: Cite Sources

Common Rationalizations (and Rebuttals)

Verification

References

Frequently asked questions

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