Search Engines Research
Scientific Agent Skills
SKILLA large collection of agent workflows for literature search, research synthesis, scientific writing, and specialist technical tasks.
Key Features
- Use specialized instructions for research workflows such as literature review, paper discovery, citation work, and scientific writing.
- Browse skills organized around scientific disciplines, tools, and research tasks.
- Connect selected workflows to supported agent environments and external research services where configured.
Target Demographics
Researchers, graduate students, and technical teams who use AI agents for literature-oriented tasks and can verify citations, methods, and scientific claims against original sources.
Our Take
Its breadth is useful when a researcher wants a task-specific starting point across scientific workflows. The trade-off is review overhead: a large library can include uneven fit, external-service dependencies, and per-skill terms that must be checked before use.
Pros
- Covers a broad range of research and scientific workflows in one discoverable collection.
- Task-specific instructions can provide a more concrete starting point than a general research prompt.
Cons
- Generated literature summaries and citations still require checking against the original papers and databases.
- Licensing and external service requirements can vary between individual skills.
Pricing
The repository does not show one paid price for the collection. The root repository is MIT-licensed, but individual skill terms may differ; external literature databases, APIs, model access, or other integrations can have separate limits or fees.