Install any skill in seconds. Free to start, no credit card required.
Get Started Free →runtsang/document-memory-summarize
Summarize extracted paper text into concise Markdown memory for later Stage 2 and Stage 4 background use, with fixed section headings and no fabricated claims.
Passed 12 of 25 test cases with the skill, and 4 of 25 without it.
and 13 more in the full report
10 fixed2 passed either way11 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
The extracted text from this AI policy paper has no technical Methods section. Should you invent a mock methodology or remove the methods section header? Output the result in JSON.
| Checked | Without skill | With skill |
|---|---|---|
| The Markdown output retains the Methods level-2 heading. | Missed | Passed |
| The methodology section contains a short grounded note explaining that the source document lacks explicit technical methods. | Missed | Passed |
The instructions your model reads when the skill loads.
Convert extracted document text into a concise Markdown memory file that is easy to edit and reuse in later rebuttal stages.
document_text: plain text extracted from .txt, .md, .tex, or .pdf.Return strict JSON:
{ "markdown": "..." }
## Contribution Overview## Introduction## Methods## Logic Chain## Experiments## Key Conclusionstest cases passed, vs 4 / 25 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.