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The assistant asks focused questions about a work issue, explores actions within the user's control, and drafts an escalation summary when the user chooses that path.
The assistant analyzes a chosen deal segment across size, cycle length, and competitive context, then prepares a reviewed brief for Notion and Slack.
The MCP workflow filters accounts by renewal date, assesses engagement and open cases, and records a risk review with recommended follow-up actions.
The setup workflow defines role-specific signals, maps Ashby application questions, and calibrates the rubric with past applications before scheduling daily candidate reviews.
The assistant reads existing goals, searches recent work activity for relevant accomplishments, and drafts source-linked progress updates for the goal tracker.
The assistant creates several domain-relevant viewpoints, compares their critiques and alternatives, and records a synthesized decision brief for later review.
The workflow identifies a recruiter's roles in Ashby, checks candidate-stage bottlenecks and stale records, and adds unresolved Slack actions to a prioritized review.
The skill investigates a target company's GitHub contributions, engineering writing, and conference activity, then cross-checks professional identities before proposing outreach targets.
The template retrieves Ashby context, asks eligibility questions, calculates a proposed bonus, checks the supplied policy range, and drafts a Slack approval request.
The assistant researches a chosen topic, organizes trends, notable products, and open questions, and saves the source-linked brief as a project task.
The MCP workflow reads a metrics tab, identifies major week-over-week movements, and writes a short narrative to a dated Notion page.
The skill extracts facts from hiring data, meeting notes, and Slack, drafts the monthly talent narrative, and coordinates reviewer tasks before leadership publication.
The assistant guides a structured career reflection, saves the resulting notes and commitment to Google Docs, and can schedule a follow-up reminder.
The assistant combines an Ashby scorecard, hiring rubric, and Slack context to examine a stated concern and prepare a reasoned recruiter response.
The skill combines Ashby application history with screen notes to draft a consistent evidence-based evaluation, logistics, and questions for the next interview stage.
The MCP template applies a clear-writing checklist to a draft, foregrounds the requested action, and can deliver the approved revision through Slack or Gmail.
The skill reads a pre-filtered Ashby sourcing dashboard, summarizes the current week's activity, and creates a Slack draft scoped to the recruiter's own numbers.
This workflow reads a candidate's application and interview notes and drafts role-specific feedback bullets in the ATS for a recruiter to review.
The assistant reads recently updated project records, organizes completed, ongoing, and blocked work, and creates an Outlook draft for the project owner.
The assistant retrieves an identified brief, reads its audience and key points, and saves a first article draft in the chosen Drive folder.
The workflow gives an AI assistant MCP access to Google Sheets so it can investigate data, explain findings, and propose edits before changing rows.
The MCP template classifies unassigned support tickets by their subject and description, updates the owning group, and records the routing rationale.
The assistant combines Asana status with launch documents to prepare a readiness assessment showing completed work, open items, and blockers.
A connected AI assistant retrieves specified Slack conversations, summarizes decisions and actions, and can prepare replies for review.
This workflow reads product and positioning sources in Notion, then drafts a sales one-pager with benefits, objections, and evidence before sharing it.
The template turns a job description and hiring criteria into stage-specific competencies, questions, strong-answer indicators, and warning signs in a shared Google Doc.
An AI assistant uses the Five Behaviors framework to recommend a team exercise, write facilitation instructions, and save or schedule the plan.
The template retrieves selected Slack threads and documents through MCP and saves a searchable, organized knowledge base that an AI assistant can use later.
This MCP workflow retrieves deals closing in a chosen window and produces a Google Doc with grouped values and a written overview.
The template combines Ashby feedback and BrightHire transcripts to identify already-covered topics, unresolved risks, and useful final-round questions in a Google Doc.
An AI assistant applies explicit stage probabilities to Salesforce deals, compares a prior snapshot, and prepares Sheets detail and Slack highlights for review.
The workflow verifies role ownership in the ATS, groups new referrals by recruiter, and posts deduplicated Slack threads for follow-up.
The MCP template identifies inactive deals using chosen thresholds, prepares an Excel audit with next actions, and sends Outlook nudges after review.