Create Talk
SkillAI & modelsGenerate 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.
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Create Talk skill
What this skill tells your AI
The instructions your AI receives, as published by brycewang-stanford/auto-empirical-research-skills in skills/41-sticerd-eee-sewage-econometrics-check/skills/create-talk/SKILL.md and read by ahel’s review.
Generate a Beamer presentation by dispatching the Storyteller (creator) and Discussant (critic).
Input: $ARGUMENTS — format name, optionally followed by paper path.
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
| Format | Slides | Duration | Content Scope |
|---|---|---|---|
| Job market | 40-50 | 45-60 min | Full story, all results, mechanism, robustness |
| Seminar | 25-35 | 30-45 min | Motivation, main result, 2 robustness, conclusion |
| Short | 10-15 | 15 min | Question, method, key result, implication |
| Lightning | 3-5 | 5 min | Hook, one result, so-what |
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):
- Re-dispatch Storyteller with specific fixes (max 3 rounds)
- Re-run Discussant to verify
Step 5: Present Results
- Generated
.texfile path - Slide count and format compliance
- Discussant score (advisory, non-blocking)
- TODO items (missing figures, tables not yet generated)
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.
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.
Signals
- GitHub stars
- 4k
- Forks
- 531
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
create-talk- Source
- github.com/brycewang-stanford/auto-empirical-research-skills
github.com/brycewang-stanford/auto-empirical-research-skills
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