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After OpenRush is connected to your AI assistant, you can turn it into a repeatable marketing workflow. Think of an agent as a saved way of working. It should know what job to do, when to use OpenRush, what answer format you want, and when to stop.
Start with a marketing job, give the agent clear rules, then reuse it whenever you need the same answer again.

Add the OpenRush skill

A skill teaches your AI assistant when and how to use OpenRush. Add this line to your assistant’s instructions:
You can also download the skill, which is valuable for some agentic workflows. This takes one click from the OpenRush skill section.

Good agent jobs

Start with one job. Keep it narrow enough that you can tell whether the answer is useful.
Competitor scan
Keyword gap review
Opportunity list
SERP snapshot
Website audit
Weekly growth brief

Write the agent instructions

Use a short brief. Good agents do not need long prompts.

Use Claude Code

Claude Code supports custom subagents. Use a subagent when you want a reusable specialist, such as a growth analyst, SEO reviewer, or content brief writer. To create a subagent:
  1. Connect OpenRush with MCP from Setup.
  2. In Claude Code, run /agents.
  3. Create a personal or project agent.
  4. Give it a clear description, such as Use this agent for organic search research with OpenRush.
  5. Limit tools where possible. A research agent usually only needs read and connector access.
  6. Test it with one site before using it repeatedly.
Claude Code subagents are useful when research would fill your main conversation with too much detail. The subagent can do the search work and return a clean summary.
Learn more in the Claude Code subagents docs. For scheduled work, use Claude Code routines. A routine is a saved prompt, repository, and connector setup that can run on a schedule. Good OpenRush routine examples:
  • Every Monday, create a competitor brief for your domain.
  • Every Friday, find new keyword gaps to review.
  • After a launch, check priority keywords and search results.
  • Monthly, audit the site and list the highest-impact fixes.
Create routines at claude.ai/code/routines, or use /schedule in Claude Code when it is available for your account.
Claude Code routines are in research preview. Review the first few runs before you rely on them.
Learn more in the Claude Code routines docs.

Use Codex

In Codex, make the workflow durable with three pieces:
  • MCP: connect OpenRush so Codex can call the data tools.
  • AGENTS.md: save your working rules, voice, output format, and review checklist.
  • Automations: schedule recurring checks when the task is stable.
A simple AGENTS.md section can be enough:
Use Codex automations for repeatable checks, such as a weekly competitor brief or a monthly site audit. Test the prompt manually first, then schedule it once the output is reliable. Learn more in the Codex automations docs and AGENTS.md docs.

Schedule useful marketing tasks

Scheduled tasks work best when the job has a clear cadence and a clear output. Use Claude Code routines or Codex automations depending on where you already work.

Prompt templates

Weekly competitor brief

Keyword gap queue

Website audit

Best practices

  • Start with one narrow job.
  • Test manually before scheduling.
  • Keep the output format the same every time.
  • Ask for a short answer first, then drill into details.
  • Review the first few scheduled runs before trusting the workflow.
  • Keep credit usage in mind. Recurring jobs use the same OpenRush account credits as normal MCP and API calls.
OpenRush provides the marketing data. Your AI client controls agent setup, memory, scheduling, and permissions.