Wide Research

Community

win4r

wide_research

Use when the user needs broad parallel research across many independent inputs with a shared output schema.

Overview

Publisher	win4r
Repository	`MuseAI-Skills`
Skill name	`wide_research`
Stars	382
Forks	116
Bundled files	Instructions only
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 win4r on GitHub. Read the source before you install it.

Installation

Install the Wide Research 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/win4r/MuseAI-Skills/tree/main/opt/hatch/skills/wide-research
Enable the skill in any chat where you want it available.

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/win4r/MuseAI-Skills.git /tmp/MuseAI-Skills
mkdir -p .claude/skills
cp -r /tmp/MuseAI-Skills/opt/hatch/skills/wide-research .claude/skills/wide_research

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

Use it in TypingMind

Enable Wide Research 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 Wide Research 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 Wide Research 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.

Wide Research

Purpose

Coordinate one manager subagent that fans out the same research task across many independent inputs and returns a single normalized result set.

When to Use

The task can be split into many independent subtasks (for example, one company/person/topic per input).
Each subtask should return the same structured fields.
The user asks for "wide research", "parallel research", or high-volume lookup/screening.

Do not use this workflow for single-item tasks or when subtasks depend on each other.

Tooling

Use exactly one manager subagent for the overall operation.

Manager input contract:

operation_brief: one concise sentence.
inputs: one independent item per element.
output_schema: required fields and allowed types.
worker_prompt_template: per-input instructions.
completion_format: exact JSON object shape for the manager's final response.

Manager output contract:

total
success_count
failure_count
results
failures
notes

Operating Rules

Deduplicate and normalize the input list before spawning the manager.
Keep the output schema minimal and explicit; avoid optional or free-form fields unless the user asked for them.
Use one manager coordinator for one user goal; do not fan out multiple sibling root-level subagents.
Instruct the manager to assign one worker per input and keep each worker scoped to its own item.
If completeness matters and some inputs fail, retry only the failed inputs, once, when feasible.
Reply to the user immediately that wide research has started; do not block on completion.
In the final user-facing output, always report coverage (success_count/total) and unresolved gaps.

Frequently asked questions

What does the Wide Research AI skill do?

Use when the user needs broad parallel research across many independent inputs with a shared output schema.

Why use Wide Research on TypingMind?

Because you install it once and use it with any model. Wide Research 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 Wide Research in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/win4r/MuseAI-Skills/tree/main/opt/hatch/skills/wide-research. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Wide Research?

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 Wide Research?

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

Is the Wide Research AI skill free?

It is published on GitHub by win4r. Check the repository for licensing terms. 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

Wide Research

Purpose

When to Use

Tooling

Operating Rules

Frequently asked questions

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