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Web Research

Community
DougTrajano
web-research

Use this skill for requests related to web research; it provides a structured approach to conducting comprehensive web research.

Overview

PublisherDougTrajano
Repositorypydantic-ai-skills
Skill nameweb-research
Stars
380
Forks
29
Bundled files
Instructions only
LicenseMIT
Links
  • 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 DougTrajano on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/DougTrajano/pydantic-ai-skills/tree/main/examples/skills/web-research
  4. 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.
2

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/DougTrajano/pydantic-ai-skills.git /tmp/pydantic-ai-skills
mkdir -p .claude/skills
cp -r /tmp/pydantic-ai-skills/examples/skills/web-research .claude/skills/web-research
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Web 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 Web 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 Web 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.

Web Research Skill

This skill provides guidance on conducting comprehensive web research. It emphasizes planning, efficient information gathering, and systematic synthesis of findings.

Note: This skill provides a methodology and best practices for web research. It does not include executable scripts or tools beyond what's available in your agent's toolset.

When to Use This Skill

Use this skill when you need to:

  • Research complex topics requiring multiple information sources
  • Gather and synthesize current information from the web
  • Conduct comparative analysis across multiple subjects
  • Produce well-sourced research reports with clear citations

Research Process

Step 1: Create and Save Research Plan

Before conducting research:

  1. Analyze the research question - Break it down into distinct, non-overlapping subtopics

  2. Create a research plan - Determine:

    • The main research question
    • 2-5 specific subtopics to investigate
    • Expected information from each subtopic
    • How results will be synthesized

Planning Guidelines:

  • Simple fact-finding: 1-2 subtopics
  • Comparative analysis: 1 subtopic per comparison element (max 3)
  • Complex investigations: 3-5 subtopics

Step 2: Gather Information

For each subtopic in your plan:

  1. Use available web search tools to gather information with:

    • Clear, specific search queries
    • Target: 3-5 searches per subtopic maximum
  2. Organize findings as you gather them

Step 3: Synthesize Findings

After gathering information:

  1. Review all collected information from your searches

  2. Synthesize the information - Create a comprehensive response that:

    • Directly answers the original question
    • Integrates insights from all subtopics
    • Cites specific sources with URLs
    • Identifies any gaps or limitations

Best Practices

  • Plan before searching - Understand what you need to find and organize your approach
  • Clear subtopics - Ensure each search has a distinct, non-overlapping scope
  • Systematic synthesis - Review all findings before creating final response
  • Stop appropriately - Don't over-research; 3-5 searches per subtopic is usually sufficient
  • Cite sources - Always include URLs to sources in your final response

Frequently asked questions

What does the Web Research AI skill do?

Use this skill for requests related to web research; it provides a structured approach to conducting comprehensive web research.

Why use Web Research on TypingMind?

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

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

Which AI models can use Web 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 Web Research?

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

Is the Web Research AI skill free?

Yes. It is published on GitHub by DougTrajano 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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