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write-introduction
Write the thesis Introduction (Chapter 1) using a research-informed, multi-pass workflow grounded in academic writing best practices
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Write the thesis Introduction (Chapter 1) using a research-informed, multi-pass workflow grounded in academic writing best practices
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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| name | write-introduction |
| description | Write the thesis Introduction (Chapter 1) using a research-informed, multi-pass workflow grounded in academic writing best practices |
Write Chapter 1 (Introduction) for the thesis "Automation and Political Ideology: Task Displacement and the Conservative Shift Among Exposed Workers."
This skill implements a structured, multi-pass writing workflow distilled from leading academic writing guides and adapted for a Master's thesis.
draft — Run the full pipeline: research, draft, style-match, verify (default)outline — Produce only a detailed outline with paragraph-level annotationsrevise — Revise an existing draft of Ch.1 (assumes 01_introduction.tex already has content)This skill is built on best practices from:
Chapter 1: Introduction
├── 1. Hook (2-3 paragraphs)
│ Opening with the contemporary phenomenon: populist/conservative surge
│ + economic disruption from automation. Ground in a specific fact or
│ striking observation. Then pivot to the scholarly puzzle.
│
├── 2. Research Question (1 paragraph)
│ Clear, precise statement: "I ask whether workers in occupations more
│ exposed to task-displacing automation shift toward conservative
│ political ideology."
│
├── 3. This Thesis: Approach & Findings (3-4 paragraphs)
│ [ASPIRATIONAL — Shapiro]
│ What I do: task displacement measure from BEA-KLEMS + ACS + O*NET,
│ IRT ideology from CCES, pseudo-panel 2006-2022, TWFE estimation.
│ What I find: β > 0 (automation → conservative shift), heterogeneous
│ effects, lag structure.
│ How I identify: shift-share logic, pre-determination of shares.
│
├── 4. Antecedents (3-4 paragraphs)
│ [Head's "Antecedents" — brief, not Ch.2-depth]
│ a. Task-based framework (ALM 2003) → automation measurement
│ b. Economic shocks → politics (ADH 2013, Colantone-Stanig, Frey et al.)
│ c. Cultural backlash vs economic insecurity debate
│ Each paragraph should end with what the prior work DOESN'T do that
│ this thesis addresses.
│
├── 5. Contribution (3-4 paragraphs)
│ [Moved from Ch.2 §2.4 — Head's "Value-Added"]
│ a. Comprehensive automation measure (task displacement, not just RTI/robots)
│ b. Continuous ideology outcome (IRT estimates, not binary vote choice)
│ c. Pseudo-panel spanning 2006-2022 (not single cross-section)
│ d. Mechanism adjudication (economic insecurity vs cultural backlash)
│ For each: why it matters, what it enables that prior work couldn't do.
│
├── 6. Roadmap (1 paragraph)
│ [CONTRACTUAL — Shapiro]
│ Chapter-by-chapter preview using \Cref{ch:...} for all chapters.
│ Brief, functional, no more than 1 sentence per chapter.
│
└── \Cref connections to all subsequent chapters
Before writing a single word, you MUST read the following files to understand what the introduction needs to reference and not duplicate:
1. thesis/CLAUDE.md → conventions, commands, bib keys
2. .claude/reference/literature-evidence.md → concrete findings from 20+ papers (use for Antecedents)
3. thesis/chapters/02_literature.tex → what Ch.2 covers (avoid duplication)
4. thesis/chapters/03_data.tex → data sources, sample sizes, match rates
5. thesis/chapters/04_methodology.tex → formulas, specifications, identification
6. thesis/chapters/05_results.tex → main coefficients, key tables/figures
7. thesis/references.bib → available citation keys
8. CLAUDE.md (root) → project context, measure pipeline, findings
| Source | Extract for Introduction |
|---|---|
| Ch.3 | Data sources (CCES 2006-2022, ACS, BEA-KLEMS, O*NET), sample size, IRT ideology variable |
| Ch.4 | Task displacement formula (briefly), 18 demographic groups, pseudo-panel design, TWFE spec |
| Ch.5 | Main coefficient (β=0.291, p=0.06), lag structure (k=1 strongest), heterogeneous effects |
| Ch.2 §2.4 | Contribution text to migrate to Ch.1 (shorten §2.4, expand Ch.1 §5) |
references.bib | Available citation keys — NEVER cite a paper not in the bib file |
Before drafting, use the narrative-architect agent to design the argumentative flow for the Antecedents and Contribution sections. The agent reads .claude/reference/literature-evidence.md and produces paragraph-by-paragraph outlines with specific paper citations.
Dispatch the narrative-architect agent with:
The architect will return a structured outline. Use it as the backbone for Phase 2 drafting.
The evidence base includes pre-built flow templates for:
Use these as starting points. The narrative-architect agent refines them into paragraph-level outlines with specific citations.
\citet{key} when author is subject, \citep{key} for parenthetical. NEVER write "Author (Year)" manually.\Cref{ch:data} at sentence start, \cref{ch:data} mid-sentence. Use liberally — the introduction is a navigation hub.% TODO: verify [number] comment.--- in prose. Use commas, parentheses, colons, or semicolons for asides and elaborations. Match Chapters 3-5 style.\Cref{tab:label}A. The Paradox Hook: "Despite decades of rising returns to education and skill-biased technological change favoring cognitive work, the political response to automation has defied economic models: workers facing displacement move rightward, not toward the redistributive left."
B. The Fact Hook: "Between 2006 and 2022, the most automation-exposed demographic groups in the United States experienced a [X]-point rightward shift in ideology..."
C. The Event Hook: Start with a specific moment (2016 election, a factory closure, a policy debate) that crystallizes the tension.
D. The Literature Gap Hook: "The China Shock literature established that trade-induced labor market disruption shapes political attitudes. But automation—a structural shock that is slower, broader, and harder to attribute—has received far less systematic attention."
[Hook: 2-3 sentences establishing the phenomenon]
[Pivot: 1 sentence framing the scholarly question]
I ask whether workers in occupations more exposed to task-displacing
automation shift toward conservative political ideology. Using a
pseudo-panel of [N] demographic groups tracked through the Cooperative
Congressional Election Study from 2006 to 2022, I find that a
one-standard-deviation increase in group-level task displacement is
associated with a [β]-point rightward shift in ideology, a pattern
consistent with the cultural backlash mechanism proposed by
\citet{colantone2021backlash} and \citet{manunta2025identity}.
After drafting, the text must be passed through a style normalization pass to match Chapters 3-5. Either:
03_data.tex, 04_methodology.tex, and 05_results.tex. Compare sentence length, clause complexity, transition patterns. Revise the draft to match.style-paraphraser agent.\textbf{} in running prose\emph{} on first use of technical termscd /Users/alessandro/Projects/Tesi/thesis && tectonic main.tex
Undefined citation warnings)Undefined reference warnings)\Cref targets exist in Ch.2-5When this skill is used, Ch.2 §2.4 (Contribution) should be shortened to a brief (1-2 paragraph) summary that says "this thesis contributes in four ways" and then points to Ch.1 for the full articulation. The detailed 150-line contribution section currently in Ch.2 should be migrated to Ch.1 §5.
After writing Ch.1, update Ch.2's opening paragraph to include a backward reference:
As outlined in \Cref{ch:introduction}, this thesis contributes to
three literatures. This chapter reviews each in turn.
Opens with the economic mechanism: "automation represents a source of structural change in the economy that generates aggregate gains but with winners and losers." Then pivots to political consequences through multiple channels (anti-incumbent, economic nationalism, authoritarian attitudes). Uses specific mechanisms, not generic statements.
Opens with the broader context: "This paper evaluates the role of digital economic shocks in affecting Americans' social, cultural, and political beliefs." Connects to existing literature on economic backlash from outsourcing/trade, then identifies the gap (AI's complementing vs displacing effects). Clear bifurcation hypothesis stated upfront.
Opens with the puzzle: import competition from China affected both labor markets AND politics. States the finding in the first paragraph: trade shock moved districts toward more extreme candidates. Methodology follows immediately.
Build a comprehensive TWFE Mathematics Explainer using a multi-agent pipeline with empirical data integration
Deep econometric review of identification strategy, TWFE, and shift-share design
Compile the thesis with tectonic and report results
Regenerate all CZ choropleth maps for the thesis (Frey et al. style)
Proofread a thesis chapter for grammar, style, and clarity
Review a Python analysis notebook for correctness, reproducibility, and formula consistency