abstract
How to Install
Claude Code:
git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git && cp Auto-Empirical-Research-Skills/skills/29-quarcs-lab-project20XXy/dot-claude/skills/abstract ~/.claude/skills/abstract -r---
name: abstract
description: Reads the manuscript and notebooks to generate a structured abstract. Use when writing or updating the abstract.
argument-hint: "[word count]"
allowed-tools: Bash, Read, Write, Edit, Glob, Grep
---
# Generate Abstract
Read the manuscript and generate a structured abstract.
## Arguments
- `$ARGUMENTS` — optional target word count (default: 150 words)
## Steps
1. Parse the target word count from arguments (default 150 if not specified).
2. Read `index.qmd` in full:
- Identify the research question from the Introduction
- Identify the data and methods from the Data/Methods sections
- Identify key results from the Results section
- Identify the contribution from the Conclusion
3. Read the registered notebooks to extract key quantitative findings:
- Main coefficient estimates and significance levels
- Sample size
- Key figures or descriptive statistics
4. Draft a structured abstract with these components:
- **Motivation** (1–2 sentences): What problem or question does this paper address? Why does it matter?
- **Data and methods** (1–2 sentences): What data, sample, and empirical approach are used?
- **Key results** (2–3 sentences): What are the main findings? Include specific numbers where possible.
- **Contribution** (1 sentence): What is the paper's contribution to the literature or policy?
5. Verify the word count is within ±10% of the target. Adjust if needed.
6. Present the draft to the user for review.
7. On approval, update the `abstract:` field in the YAML front matter of `index.qmd`:
```yaml
abstract: |
```
## Error handling
- If `index.qmd` has only `[FILL:]` placeholders in the body sections, inform the user that the manuscript needs more content before an abstract can be generated.
- If the current abstract field already contains real content (not a `[FILL:]` placeholder), show it and ask whether to replace or refine it.
Details
| Category | AI/ML → prompt |
| Source | brycewang-stanford/Auto-Empirical-Research-Skills |
| SKILL.md | View on GitHub → |
| Repo Stars | ★ 2.3K |
| Est. per Skill | N/A (shared across 131 skills from this repo) |
| Difficulty | Intermediate |
| Risk Level | Safe |
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