Web Research
This is a methodology for breaking down research tasks into 1-5 subtopics, running targeted searches (3-5 per subtopic), then synthesizing everything into a cited answer. It's process guidance, not tooling. You get a three-step framework: plan your subtopics upfront, gather info systematically, then review and synthesize with sources. The value is in forcing you to think before you search rather than going down rabbit holes. Works well for comparative analysis or multi-faceted questions where you'd otherwise just start Googling randomly. If you already research methodically, you probably won't need this. If you tend to over-search or lose track of what you're looking for, the structure helps.
- GitHub stars
- 308
- last updated
- Jun 11, 2026
Install
$ npx -y skills add dougtrajano/pydantic-ai-skills --skill web-research --agent claude-codeInstalls into .claude/skills of the current project.
Files
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:
-
Analyze the research question - Break it down into distinct, non-overlapping subtopics
-
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:
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- Repository
- github.com/dougtrajano/pydantic-ai-skills
- Categories
- AI & Agent Building, Data Science & ML, Python
- License
- MIT
- First seen
- Jun 11, 2026
