Turn the assistant’s previous reply or text supplied after `/bro` into a clearer, plainer explanation. Use it for dense paragraphs, error messages, emails, or documents while preserving the original facts and avoiding new answers or information.
Re-explain the previous assistant message, or any text typed after the command, in a much simpler way. For when a reply made you go 'bro what'. Use /bro for a plain-language version of the last answer, or /bro <text> to simplify a pasted paragraph, error, email, or doc.
Run score Not tested
See how to installReview the instructions the agent will receive before you install.
The user just typed /bro, maybe with some text after it.
Your job: re-explain the input in a much simpler way, like you're explaining it to a smart friend over a beer.
What the input is:
/bro, that text is the input. It can be anything the user pasted: a paragraph, an error message, an email, a doc, legalese./bro, the input is YOUR most recent assistant message. It didn't land: too dense, too jargon-heavy, or too formal./bro and no previous assistant message in this conversation, just say there's nothing to simplify yet, bro.No reviews yet. Tell others what you thought.
No login needed. Share how it worked for you, ask a question, or note where it did not run.
No comments yet. Be the first to write one.
Handle ActiveCampaign contact and marketing tasks through Rube MCP, a connection for agent tools. Find or create contacts, manage tags and subscriptions, enroll contacts in existing automated workflows, and create follow-up tasks.
Research competitors’ live Meta and Google ads to identify opening hooks, offers, calls to action, and landing pages. Receive a sourced creative brief and up to three test ideas adapted to your product.
Add website or app tracking, then use command-line tools to review traffic, signups, drop-off, and returning users across projects. Run A/B tests, which compare alternative headlines or buttons, and inspect results to guide changes.
Establish rules for when an AI agent should recall past context and save lasting decisions, corrections, preferences, and failures. Works with Markdown files or memory services, preserving decision history and surfacing conflicting records.
Audit local AI coding-agent sessions with agenttrace to identify spending, token use, tool failures, and operational problems. Produce readable or structured reports and define pass-or-fail thresholds for automated continuous integration checks.
Audit saved agent sessions for access to private files and evidence that secret values entered an agent's context. Get findings without displaying secrets, identify keys needing rotation, and inspect Claude Code or Codex sessions in a local report.