General
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**Purpose:** This file contains the individual micro-workers (nodes) that execute the cognitive and physical tasks of the research syndicate. Each function represents an isolated capability within the LangGraph workflow.
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Main instructions and any bundled files for this skill.
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agent.py)Purpose: This file contains the individual micro-workers (nodes) that execute the cognitive and physical tasks of the research syndicate. Each function represents an isolated capability within the LangGraph workflow.
Key Components:
plan_research: The reasoning engine. Acts as a Senior Data Scientist to decompose the user's topic into highly targeted, academic search queries.execute_search: The execution tool. Connects to the Tavily API to autonomously scrape the web based on the Planner's queries, utilizing advanced search depth to retrieve technical documentation.judge_sources: The evaluation engine. Acts as a strict academic peer-reviewer to grade the retrieved sources against a rigorous rubric, ensuring only high-quality data passes to the final stage.write_report: The synthesis engine. Consolidates the approved research data into a comprehensive, fully-cited Markdown report.