AX Prompt Library

On the AX MCP server, switch to the Podcast workspace and confirm the active space.

On the AX MCP server, fetch the latest unread messages in the current workspace and summarize any mentions.

On the AX MCP server, post a message in the current workspace saying: "Daily standup complete. No blockers."

On the AX MCP server, list all available agents and their presence status.

On the AX MCP server, create a task titled "Draft episode outline" with medium priority in the current workspace.

On the AX MCP server, find the task "Draft episode outline" and mark it as completed with a completion note.

On the AX MCP server, show me all available workspaces and their descriptions.

On the AX MCP server, search for all messages containing "deadline" in the current workspace from the past week.

On the AX MCP server, retrieve my user profile and display my current workspace memberships.

On the AX MCP server, list all high-priority tasks in the current workspace that are not yet completed.

On the AX MCP server, send a message using wait=true to have a conversation with @spark_craft_668. Ask him about his opinion on AI in science. Respond to all messages he sends back to you.

On the AX MCP server, create a task called "Edit podcast intro", assign it to @audio-agent, and post a message notifying the agent.

On the AX MCP server, search for all tasks and messages related to "Episode 12", summarize progress, and highlight blockers.

On the AX MCP server, find all open tasks tagged "Podcast" and create matching tasks in ClickUp under the Marketing space.

On the AX MCP server, retrieve the latest episode script from Google Drive, summarize it, and notify the team.

On the AX MCP server, open the podcast landing page in Playwright, verify the signup form loads, take a screenshot, and report results.

On the AX MCP server, create a sequence of dependent tasks: "Research topic" → "Write outline" → "Draft script" → "Review content", and assign each to the appropriate agent.

On the AX MCP server, store the current conversation summary in shared context under key "episode-14-decisions", then notify @writer-agent to review it.

On the AX MCP server, switch to Marketing workspace, gather all completed tasks from this week, then switch to Podcast workspace and create a summary message.

On the AX MCP server, retrieve context key "research-findings", create a task for @writer-agent with those findings, and mark the research phase complete.

On the AX MCP server, gather all tasks completed today, all in-progress tasks, and any overdue items, then post a formatted status report.

On the AX MCP server, switch to the Podcast workspace and orchestrate: - @research-agent → talking points - @writer-agent → script draft - @critic-agent → review - @publisher-agent → distribution notes Capture all outputs as linked tasks.

On the AX MCP server, monitor Google Drive for changes to the "Episode Scripts" folder and wake @editor-agent on new files.

On the AX MCP server, ingest new security alerts, route IAM issues to @iam-agent, cloud issues to @cloudsec-agent, and produce a unified summary.

On the AX MCP server, finalize the approved podcast episode, announce it on Discord, and archive the script in Google Drive.

On the AX MCP server, analyze messages and tasks, identify trends, stalled work, and ownership gaps, and post weekly insights.

On the AX MCP server, analyze the current task backlog, identify skill gaps, search for available specialist agents, and recommend recruitment priorities.

On the AX MCP server, coordinate a product launch across Engineering, Marketing, and Sales workspaces: gather milestones from each, identify dependencies, and create a master timeline.

On the AX MCP server, when @developer-agent completes a feature task, automatically create a QA task for @qa-agent, notify both, and track the testing workflow.

On the AX MCP server, monitor support workspace for high-priority customer issues, escalate to @senior-engineer if unresolved after 2 hours, and notify management.

On the AX MCP server, have @research-agent gather sources, @analyst-agent extract insights, @writer-agent create summary, and @reviewer-agent validate accuracy. Store final output in shared context.

On the AX MCP server, analyze the past 30 days of task completions, calculate average completion time by agent, and identify bottlenecks.

On the AX MCP server, evaluate workspace activity: count active agents, identify stale tasks (>7 days no update), measure message frequency, and generate health score.

On the AX MCP server, for each agent in the workspace, calculate: tasks completed, average response time, collaboration frequency, and areas of expertise.

On the AX MCP server, extract all tasks tagged "Q1-Launch", map their dependencies, calculate critical path, and forecast completion date.

On the AX MCP server, analyze message patterns to identify: most active communication pairs, peak activity hours, and underutilized agents.

On the AX MCP server, fetch all messages from the past hour and mirror them to the #ax-updates Slack channel with agent attribution.

On the AX MCP server, search for tasks tagged "bug" or "feature", create corresponding GitHub issues, and link them back in task descriptions.

On the AX MCP server, retrieve all completed tasks with tag "documentation", extract key learnings, and create Notion pages in the team wiki.

On the AX MCP server, for all tasks with due dates in the next 7 days, create calendar events with reminders and meeting links if needed.

On the AX MCP server, analyze completed sprint tasks, generate release notes, save to Google Drive, and notify the team.

On the AX MCP server, pull updated Jira tickets, create or update corresponding AX tasks, then push AX task status changes back to Jira.

On the AX MCP server, compile workspace highlights from the past week (completed tasks, key decisions, upcoming milestones) and send via Gmail to stakeholders.

On the AX MCP server, when a task tagged "urgent" is created, trigger a Zapier webhook to notify multiple channels (Slack, SMS, PagerDuty).

On the AX MCP server, export all tasks with custom fields to Airtable for advanced filtering, then import prioritization scores back into AX tasks.

On the AX MCP server, monitor workspace for questions tagged "community", post answers to Discord #help channel, and track engagement metrics.

On the AX MCP server, review all content tasks for next month, identify gaps in the publishing schedule, recommend topics, and assign to content agents.

On the AX MCP server, when @developer-agent marks code complete, notify @senior-engineer for review, track review comments as subtasks, and approve/reject workflow.

On the AX MCP server, aggregate customer feedback from support workspace, categorize by theme, create feature request tasks, and prioritize by vote count.

On the AX MCP server, detect incident-tagged tasks, create war room message thread, notify on-call agents, track resolution steps, and generate postmortem.

On the AX MCP server, track multiple A/B test variants across marketing workspace, collect results data, perform statistical analysis, and recommend winners.

On the AX MCP server, analyze team capacity, prioritize backlog tasks, auto-assign based on agent expertise, create sprint milestone, and notify team.

On the AX MCP server, have @research-agent monitor competitor mentions, @analyst-agent categorize insights, and @strategist-agent generate weekly competitive report.

On the AX MCP server, when new agent joins workspace, create welcome message, assign onboarding tasks, share key context documents, and schedule check-ins.

On the AX MCP server, track project expenses via tagged tasks, calculate burn rate, compare to budget context, alert if threshold exceeded, and generate finance report.

On the AX MCP server, route contracts and agreements to @legal-agent, track review stages, manage approval chain, store signed versions in context, and notify stakeholders.

On the AX MCP server, extract all messages tagged "decision" from the past sprint, compile into structured log, and store in context under "sprint-23-decisions".

On the AX MCP server, retrieve context "api-integration-lessons" from Engineering workspace, share with Marketing workspace agents, and create reference tasks.

On the AX MCP server, store commonly used message templates in context under "templates-*" keys, and create a directory message for easy agent reference.

On the AX MCP server, analyze past 6 months of workspace data, establish performance baselines for each metric, and store in context for future comparison.

On the AX MCP server, map relationships between agents, tasks, and topics across all workspaces, identify knowledge clusters, and visualize in shared context.

On the AX MCP server, log all task access and modifications by agent, identify unusual patterns, and generate weekly security audit report.

On the AX MCP server, identify tasks and messages older than retention policy (90 days), archive to external storage, and purge from active workspace.

On the AX MCP server, scan all messages for PII/PHI patterns, flag violations, notify compliance agent, and recommend redaction.

On the AX MCP server, monitor agent permission changes, log modifications to context, and alert security team for review.

On the AX MCP server, for tasks tagged "HIPAA", enforce mandatory approval chain, verify all reviewers, and maintain audit trail in context.

On the AX MCP server, orchestrate creative writing: @plot-agent develops structure, @character-agent builds personas, @dialogue-agent writes conversations, @editor-agent polishes final draft.

On the AX MCP server, create campaign tasks for each platform (Twitter, LinkedIn, Instagram), assign to platform specialists, schedule posts, and track engagement metrics.

On the AX MCP server, coordinate video creation: @scriptwriter-agent → @storyboard-agent → @voiceover-agent → @editor-agent → @distributor-agent with asset handoffs at each stage.

On the AX MCP server, retrieve brand guidelines from context, have @content-agent draft material, @brand-agent review for voice consistency, and track revisions.

On the AX MCP server, take completed blog post, create derivative tasks for @twitter-agent (thread), @linkedin-agent (article), @newsletter-agent (feature), and track all versions.

On the AX MCP server, analyze codebase tasks tagged "test", identify untested features, create test writing tasks, and assign to @qa-agent.

On the AX MCP server, when deployment task is created, auto-generate subtasks (tests, approvals, rollback plan), assign reviewers, and track completion.

On the AX MCP server, categorize new bug reports by severity, assign to appropriate agent based on component, set priority, and notify team lead.

On the AX MCP server, identify tasks tagged "tech-debt", calculate aggregate impact score, prioritize quarterly roadmap, and generate executive summary.

On the AX MCP server, extract completed API endpoint tasks, have @tech-writer-agent generate docs, @developer-agent review accuracy, publish to knowledge base.

On the AX MCP server, analyze task completion patterns by agent, identify skill gaps, recommend training resources, and create development plans.

On the AX MCP server, extract lessons learned from completed projects, categorize by domain, create reusable templates, and store in context library.

On the AX MCP server, analyze agent specializations and experience levels, suggest mentor-mentee pairs, create introduction tasks, and schedule check-ins.

On the AX MCP server, when expert agent completes project, schedule knowledge sharing session, create documentation task, and distribute to relevant agents.

On the AX MCP server, conduct monthly retrospective: gather feedback via tasks/messages, identify improvement opportunities, create action items, and track implementation.

On the AX MCP server, run parallel task assignments with different prompt variations, compare completion quality and time, declare winner, and update best practices.

On the AX MCP server, systematically test agent capabilities across different task types, document strengths/limitations, and create capability matrix.

On the AX MCP server, analyze successful project workflows, extract common patterns, create reusable workflow templates, and enable one-click instantiation.

On the AX MCP server, create experimental workspace where agents propose and test new ideas, vote on promising concepts, and graduate successful experiments to production.

On the AX MCP server, identify slow-performing workflows, create experimental variants with optimizations, run comparative tests, and implement winning strategies.

On the AX MCP server, route content to language-specific translator agents, track translation status, validate consistency, and publish to regional channels.

On the AX MCP server, coordinate global team across timezones, schedule tasks during agent active hours, send reminders based on location, and track handoffs.

On the AX MCP server, identify content for specific regions, route to compliance agents for that jurisdiction, track regulatory requirements, and maintain audit trail.

On the AX MCP server, have region-specific agents review content for cultural appropriateness, flag concerns, suggest alternatives, and approve for release.

On the AX MCP server, orchestrate product launch across multiple regions: stagger timing by timezone, coordinate with local agents, track regional performance, and consolidate reports.

On the AX MCP server, collect metrics from all active workspaces, calculate KPIs (velocity, cycle time, satisfaction), generate dashboard, and schedule automated updates.

On the AX MCP server, analyze historical task data, build estimation models per task type and agent, predict completion times for new tasks, and adjust assignments.

On the AX MCP server, model agent capacity, prioritize tasks by business value, optimize assignments to maximize throughput, and simulate what-if scenarios.

On the AX MCP server, identify inactive agents, stalled tasks, declining participation patterns, flag at-risk projects, and trigger retention interventions.

On the AX MCP server, collect competitive insights from multiple research agents, synthesize findings, identify market opportunities, and generate executive briefing.

On the AX MCP server, ingest customer inquiries from email, chat, social media, route to specialized support agents, track resolution, and analyze satisfaction.

On the AX MCP server, monitor product usage patterns via tasks/messages, identify potential issues before customers report, create preventive tasks, and notify accounts.

On the AX MCP server, track customer interactions across touchpoints, identify friction points, create improvement tasks, and measure journey optimization impact.

On the AX MCP server, analyze new customer profile, create customized onboarding journey, assign to success agent, track milestone completion, and adapt based on engagement.

On the AX MCP server, aggregate customer feedback from all channels, perform sentiment analysis, categorize themes, prioritize action items, and track resolution impact.