deep-science-writer

Deep Science Writer (End-to-End Pipeline)

This skill orchestrates a multi-stage pipeline for scientific research, combining neural search, browser automation, academic synthesis, and humanized writing. It merges the capabilities of Exa Search, Playwright, Google Science Skills, Deep Research, and Text Humanization into one cohesive workflow.

🎯 Trigger Conditions

• User asks to write a scientific article, literature review, or deep-dive research report.
• User requests comprehensive research using web searching and scraping (Exa + Playwright).
• The output requires rigorous academic citations (APA 7th) but a highly natural, human-like reading flow.

📋 Workflow Steps

Phase 0: Mandatory Deep Context Gathering & Research Plan

1. Incorporate academic rigor, structured literature parsing, and cross-validation techniques into your approach and keep those principles active in context. Reference material for these lives in the local repos C:/Users/User/workspace/nature-skills/, C:/Users/User/workspace/academic-research-skills/, and C:/Users/User/workspace/superpowers/ — these are not installed skills, so read from them with Read/Grep rather than trying to invoke them.
2. Mandatory Interrogation: You MUST deeply understand the user's current research topic before doing anything else. If the user's initial prompt is too brief, you MUST actively interrogate them to extract their exact pain points, research hypotheses, and core objectives. Do NOT proceed until you fully grasp the context.
3. Mandatory Pre-Flight Discussion: Once the context is understood, formulate a preliminary research plan (proposed keywords, target databases, expected article structure, and goals).
4. Present this blueprint to the user to discuss the research direction. Focus on delegating the heavy lifting to parallel subagents via Agent to protect the main context window.
5. Halt & Wait: You MUST wait for the user's "Explicit Approval" of the research plan before proceeding to Phase 0.5.