Name the library and explain the behavior you need. AI can resolve the right Context7 library and connect its documentation snippets to an implementation answer.
Copy a prompt into your agent with the oo Skill installed. Add your page links and source notes before running it.
Resolve the intended library and retrieve documentation context relevant to your task.
/oo Context7: Search Context7 for library [library name] relevant to [implementation question]. Select the intended library ID, retrieve its documentation context, and explain an approach using the returned snippets and rules.
Set up oo CLI and the oo Skill in your agent.
Install OOMOL →Connect with a Context7 API key.
Connect Context7 →Use /oo with the pages to read, the changes to make, and where to save the result.
Connection Guide →Choose Your Agent
Context7 library search pairs a library name with a task, and documentation lookup returns relevant code and information snippets. These supply reference context for technical answers.
Rank library matches against a question and retrieve relevant code snippets, information snippets, and rules.
Search Context7 for libraries ranked against a question or task.
Leina 
Wanta 
context7.search_libraries Retrieve relevant Context7 documentation and code snippets for a library.
context7.get_documentation_context No matching tools.
Search by name and task, then choose the intended library ID before retrieving documentation.
Include the library, task, relevant version if known, and the behavior you need. That context helps rank and retrieve relevant snippets.
No. The result supplies reference documentation and examples; project-specific code still needs implementation and verification.
Manage which optional storage OOMOL can use. You can change these choices from the footer at any time.