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web-research
// Use this skill for requests related to web research; it provides a structured approach to conducting comprehensive web research.
// Use this skill for requests related to web research; it provides a structured approach to conducting comprehensive web research.
| name | web-research |
| description | Use this skill for requests related to web research; it provides a structured approach to conducting comprehensive web research. |
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.
Use this skill when you need to:
Before conducting research:
Analyze the research question - Break it down into distinct, non-overlapping subtopics
Create a research plan - Determine:
Planning Guidelines:
For each subtopic in your plan:
Use available web search tools to gather information with:
Organize findings as you gather them
After gathering information:
Review all collected information from your searches
Synthesize the information - Create a comprehensive response that:
Use this skill whenever the user is working with the Pydantic AI framework — including building AI agents, defining structured outputs with Pydantic models, wiring up tools/function calling, configuring model providers (OpenAI, Anthropic, Gemini, etc.), managing dependencies via agent context, handling streaming responses, or debugging agent runs. Trigger this skill even for adjacent tasks like "how do I make my agent return JSON", "set up a multi-step agent", "add a tool to my agent", or "validate LLM output with Pydantic" — any time Pydantic AI is mentioned or implied as the target framework.
Search arXiv preprint repository for papers in physics, mathematics, computer science, quantitative biology, and related fields.