create-talk

name: create-talkdescription: Generate Beamer presentations for the sewage-house-prices project by dispatching the Storyteller agent (creator) and Discussant agent (critic). Supports 4 formats — job market, seminar, short, lightning. Derives all content from the paper.disable-model-invocation: trueargument-hint: "[format: job-market | seminar | short | lightning] [paper path (optional)]"allowed-tools: ["Read", "Grep", "Glob", "Write", "Edit", "Task", "Bash"]

Create Talk

Generate a Beamer presentation by dispatching the Storyteller (creator) and Discussant (critic).

Input: $ARGUMENTS — format name, optionally followed by paper path.

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Workflow

Step 1: Parse Arguments

• Format (required): job-market | seminar | short | lightning
• Paper path (optional): defaults to docs/overleaf/_main.tex
• If no format specified, ask the user.

Format Constraints

Step 2: Launch Storyteller Agent

Delegate to the storyteller agent via Task tool:

Prompt: Create a [format] talk from [paper].
Read the paper (docs/overleaf/_main.tex) and extract:
  - Research question: causal effect of sewage spills on house prices and rents in England
  - Data: EDM (Event Duration Monitoring) spill records 2021-2024+, Land Registry prices, Zoopla rentals
  - Identification strategy: hedonic pricing, repeat sales, long-difference, DiD/event study
  - Spatial matching: spill sites within radius (250m–10km) linked to properties
  - Key treatment variables: spill_count, spill_hrs, n_spill_sites, min_dist
  - Main results and effect sizes (house prices and rents separately)
  - Robustness checks: upstream/downstream, dry spill placebo, rainfall controls
  - Institutional context: England's water companies, EDM permit system, regulatory failure
  - Key figures: output/figures/, docs/overleaf/figures/, docs/overleaf/maps/
Design narrative arc for [format] format.
Build Beamer .tex file with shared preamble if available.
Compile with XeLaTeX.
Save to docs/conferences/[format]_talk.tex

The Storyteller follows these principles:

• One idea per slide
• Figures > tables (tables in backup); prefer maps and scatter plots from output/figures/
• Build tension: motivation (regulatory failure) → question → EDM data → method → findings → policy implications
• Transition slides between major sections
• All claims must appear in the paper (single source of truth)
• Treatment variable definitions (12/24hr counting) explained clearly on methods slide

Step 3: Launch Discussant Agent (Talk Critic)

After Storyteller returns, delegate to the discussant agent:

Prompt: Review the talk at docs/conferences/[format]_talk.tex.
Check 5 categories:
  1. Narrative flow — does the story build properly from EDM data → identification → results?
  2. Visual quality — overflow, readability, consistency
  3. Content fidelity — every claim (coefficient, standard error, N) traceable to paper
  4. Scope for format — right amount of content for duration
  5. Compilation — does it compile cleanly?
Score as advisory (non-blocking).
Save report to docs/conferences/quality_reports/[format]_talk_review.md

Step 4: Fix Critical Issues

If Discussant finds Critical issues (compilation failures, content not in paper):

1. Re-dispatch Storyteller with specific fixes (max 3 rounds)
2. Re-run Discussant to verify

Step 5: Present Results

1. Generated .tex file path
2. Slide count and format compliance
3. Discussant score (advisory, non-blocking)
4. TODO items (missing figures, tables not yet generated)

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Output

Save to docs/conferences/[format]_talk.tex (e.g., docs/conferences/seminar_talk.tex). Quality report to docs/conferences/quality_reports/[format]_talk_review.md.

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Principles

• Paper is authoritative. Every claim must appear in docs/overleaf/_main.tex.
• Less is more. Especially for short and lightning — ruthlessly cut.
• Audience calibration. Job market = identification rigor. Seminar = interesting result. Lightning = sell the idea.
• Advisory scoring. Talk scores don't block commits.
• Worker-critic pairing. Storyteller creates, Discussant critiques. Never skip the review.
• Figures first. Prefer maps (docs/overleaf/maps/), event study plots, and scatter plots over regression tables.