AI Skill Pod

Skill library

Ready-to-use skills for business teams. Add one to your pod and everyone's AI uses the same version.

Customer success

  • Bug report from a support ticket Official
    Turns a customer complaint into an engineering-ready bug report: steps to reproduce, expected vs actual, environment, impact, evidence, and questions to ask.
  • Churn-risk note for an account Official
    Writes a churn-risk note on one account: risk level with evidence, a root-cause hypothesis, a save plan with owners and dates, and what to tell the customer.
  • Customer onboarding plan Official
    Builds an onboarding plan for a new customer: success criteria in their terms, milestones to first value with owners, a kickoff agenda, cadence, and risks.
  • Customer reply in our tone Official
    Drafts a support reply in your team's tone: answers the question first, owns mistakes, drops jargon, and ends with one clear next step.
  • FAQ from support tickets Official
    Turns a batch of tickets or chats into an FAQ: questions in customer words, ranked by count, short answers, and flags for answers to confirm.
  • Feedback themes from NPS and surveys Official
    Analyzes NPS comments, survey answers, or reviews into themes with counts, typical quotes, sentiment, and one suggested action per problem.
  • Help-center article Official
    Writes a help-center article for one task: task title, answer first, numbered steps with exact UI labels, screenshot notes, troubleshooting, related links.
  • Incident notice for customers Official
    Writes customer-facing incident notices by stage, from investigating to resolved, and a postmortem summary with a plain apology and what changes.
  • QBR deck outline and talking points Official
    Prepares a quarterly business review: outcomes vs goals, usage that explains them, ROI in the customer's numbers, roadmap asks, and next quarter's plan.
  • Support ticket triage Official
    Triages incoming tickets into a table with category, S1 to S4 severity, routing, and a first reply for each, sorted by what to answer first.