Ask with Context
Send a focused message and explicit reference context.
/oo Trent: Send Trent message [question] with context [context], then show the assembled reply and returned thread metadata.
Send a message with context and thread metadata and receive the assembled response content. Ask your connected AI assistant to explain the results or carry out the specified operation.
Copy a prompt into your agent with the oo Skill installed. Add your page links and source notes before running it.
Send a focused message and explicit reference context.
/oo Trent: Send Trent message [question] with context [context], then show the assembled reply and returned thread metadata.
Use an existing thread identifier for a follow-up.
/oo Trent: Send Trent follow-up [message] in thread_id [thread ID] with context [context].
Set up oo CLI and the oo Skill in your agent.
Install OOMOL →Get Trent OpenClaw access and connect its API key.
Connect Trent →Use /oo with the pages to read, the changes to make, and where to save the result.
Connection Guide →Choose Your Agent
Trent connects supported service operations to your AI assistant. Send a message with context and thread metadata and receive the assembled response content.
Submit message, context, thread ID, and optional client information.
Send one message to Trent's chat endpoint and return the assembled response content plus thread metadata.
trent.send_chat No matching tools.
Pass the returned or known thread_id with a follow-up message.
No. The action returns chat content and thread metadata. Check actual work evidence separately.
Use Trent’s OpenClaw setup flow to obtain access and create an API key.
Manage which optional storage OOMOL can use. You can change these choices from the footer at any time.