Document Memory Summarize
SkillDocs & knowledgeSummarize extracted paper text into concise Markdown memory for later Stage 2 and Stage 4 background use, with fixed section headings and no fabricated claims.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Document Memory Summarize skill
What this skill tells your AI
The instructions your AI receives, as published by runtsang/rebuttalstudio in skills/document-memory/summarize/SKILL.md and read by ahel’s review.
Goal
Convert extracted document text into a concise Markdown memory file that is easy to edit and reuse in later rebuttal stages.
Input
document_text: plain text extracted from.txt,.md,.tex, or.pdf.
Output
Return strict JSON:
{ "markdown": "..." }
Required Markdown headings
## Contribution Overview## Introduction## Methods## Logic Chain## Experiments## Key Conclusions
Rules
- Keep the Markdown concise and scannable.
- Preserve the main theoretical ideas, methods, experiments, and conclusions.
- Ignore references, appendices, and supplementary material unless the main text clearly depends on them.
- Do not invent numbers, citations, experiments, or claims.
- If a section is weak or missing in the source, keep the heading and add a short grounded note instead of guessing.
Signals
- GitHub stars
- 216
- Forks
- 2
- Last commit
- Apr 2026
Advanced
- Catalog kind
- skill
- Gateway key
document-memory-summarize- Source
- github.com/runtsang/rebuttalstudio