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Write

Skill brycewang-stanford/Auto-Empirical-Research-Skills/skills/16-hsantanna88-clo-author/dot-claude/skills/write

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Install
npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill write

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Draft academic paper sections with notation protocol, anti-hedging, and humanizer pass. Replaces /draft-paper and /humanizer.

SKILL.md

4.2 KB, as published. Nobody here has run it

Write

Draft paper sections or apply humanizer pass by dispatching the Writer agent.

Input: $ARGUMENTS — section name or mode, optionally followed by file path.


Modes

/write [section] — Draft Paper Section

Draft a specific section: intro, strategy, results, conclusion, abstract, or full.

Agent: Writer Output: LaTeX section file in paper/sections/

Workflow:

1. Context Gathering

Before drafting, read all available context:

  1. Read existing paper draft in paper/ (if it exists)
  2. Read master_supporting_docs/ for notes, outlines, research specs
  3. Read most recent quality_reports/research_spec_*.md or quality_reports/lit_review_*.md
  4. Read .claude/references/domain-profile.md for field conventions
  5. Check Bibliography_base.bib for available citations
  6. Scan paper/tables/ and paper/figures/ for generated output
  7. Read quality_reports/results_summary.md if it exists (from Coder)

2. Section Routing

Based on $ARGUMENTS:

  • full: Draft all sections in sequence, pausing between major sections for user feedback
  • intro: Draft introduction (most common request)
  • strategy: Draft identification and estimation section
  • results: Draft results from available output
  • conclusion: Draft conclusion
  • abstract: Draft abstract (must have other sections first)
  • No argument: Ask user which section to draft

3. Dispatch Writer

Dispatch Writer with section standards, notation protocol, and anti-hedging rules. Humanizer pass runs automatically before finalizing. Save to paper/sections/[section].tex.

4. Quality Self-Check

Before presenting the draft:

  • Every displayed equation is numbered (\label{eq:...})
  • All \cite{} keys exist in Bibliography_base.bib
  • Introduction contribution paragraph names specific papers
  • Effect sizes stated with units
  • No banned hedging phrases
  • Notation consistent throughout
  • All tables/figures referenced actually exist in paper/tables/ or paper/figures/

5. Present to User

Present each section for feedback. Flag items that need attention:

  • TBD items: Where empirical results are needed but not yet available
  • VERIFY items: Citations that need user confirmation
  • PLACEHOLDER items: Effect sizes awaiting final estimates

/write humanize [file] — Humanizer Pass Only

Strip AI writing patterns from existing text without rewriting content.

Agent: Writer (humanizer mode) Output: Edited file with AI patterns removed

Strips 24 patterns across 4 categories:

  • Structural: forced narrative arcs, artificial progression
  • Lexical: "delve,leverage,nuanced,robust"
  • Rhetorical: rule-of-three, negative parallelisms, em dash overuse
  • Formatting: excessive bullet points, promotional language

Section Standards

SectionLengthKey Requirements
Introduction1000-1500 wordsHook → question → method → finding → contribution → roadmap
Strategy800-1200 wordsFormal assumption, numbered equation, threats addressed
Results800-1500 wordsMain spec, effect sizes in economic terms, heterogeneity
Conclusion500-700 wordsRestate with effect size, policy, limitations, future
Abstract100-150 wordsQuestion, method, finding with magnitude, implication

LaTeX Conventions

  • \citet{} for textual citations ("Smith (2024) shows...")
  • \citep{} for parenthetical citations ("...is well documented (Smith, 2024)")
  • booktabs rules (\toprule, \midrule, \bottomrule) — never \hline
  • Notation protocol: Y_{it}, D_{it}, \gamma_i, \delta_t, \varepsilon_{it}

Principles

  • This is the user's paper, not Claude's. Match their voice and style.
  • Never fabricate results. Use TBD placeholders.
  • Citations must be verifiable. Only cite confirmed papers.
  • Humanizer is automatic. Every draft gets de-AI-ified.

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