mixed-methods-findings-writer

More from nealcaren/sociology-skillset

• writing-editor

  Edit prose to sound more natural, direct, and engaging. Works top-down through four levels (Document → Paragraph → Sentence → Word) with human checkpoints at each stage. Fixes LLM patterns, writerly bad habits, and style deficits. Works for academic papers, reports, memos, essays, blog posts, proposals, and other nonfiction. Use when prose sounds robotic, dull, or inaccessible.

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• qual-findings-writer

  Draft publication-ready methods and findings sections for qualitative sociology articles. Guides argument-driven narrative, varied evidence presentation strategies (anchor-echo, convergence, extended case, polyphonic), and quote integration based on genre analysis of AJS, ASR, Social Problems, and Social Forces articles.

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• reading-agent

  Create structured reading notes for academic papers. Converts PDFs to markdown and extracts bibliographic info, core arguments, theoretical frameworks, findings, and key quotes. Supports single-paper deep reading or batch processing with haiku agents.

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• prompt-optimizer

  Systematically optimize LLM prompts for text classification tasks using reflective evolution. Guides researchers through iterative prompt development with evaluation-driven improvement. Use when users want to classify text (sentiment, topic, stance, frame, etc.) and need the best prompt for batch API processing. Supports Python and R.

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• peer-reviewer

  Simulate peer review by constructing reviewer personas from project references. Identifies relevant perspectives, retrieves full texts, builds reviewer profiles, and generates focused reviews on theory/methods and findings.

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• methods-writer

  Draft publication-ready Methods sections for sociology articles. Currently optimized for interview-based research with pathway selection and calibration based on analysis of 77 Social Problems/Social Forces articles. Quantitative methods support coming soon.

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