Query Literature Databases
SkillDatabases & dataFind relevant simulation workflows in the in-house literature database.
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 Query Literature Databases skill
What this skill tells your AI
The instructions your AI receives, as published by learningmatter-mit/atomisticskills in .agents/skills/general-query-literature-database/SKILL.md and read by ahel’s review.
The in-house literature database consists of markdown (.md) files stored in the .agents/workflows/ directory. Each file contains a workflow guide for a specific research topic, summarized from academic papers.
To efficiently find the most relevant workflow guide without reading every file in full, you must rely on the short descriptions located in each file's YAML header.
Execution Instructions:
Scan Database: Because the database is currently small, use the following command to quickly extract all descriptions:
grep -rn "^description:" .agents/workflows/
Signals
- GitHub stars
- 164
- Forks
- 24
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
general-query-literature-database- Source
- github.com/learningmatter-mit/atomisticskills