Pendo's plugin for Claude
Install
npx skills add pendo-io/claude-pendo-plugingh skill install pendo-io/claude-pendo-plugingit clone --depth 1 https://github.com/pendo-io/claude-pendo-pluginSkills in this collection
- Account HealthPendoPrepare for a customer call by synthesizing engagement, sentiment, and feedback from Pendo analytics. Use this skill whenever someone asks about account health, wants to prepare for a customer call, needs an account health report, asks about engagement or usage for a specific customer, or wants a summary of how an account is doing.
- App HealthPendoGenerate a shareable health report for one application, summarizing engagement, acquisition, retention, average time, stickiness, frustration signals, and survey scores into a verdict and next steps. Use this skill whenever someone asks how healthy an app is, wants an app health report, wants an overall picture of how an application is doing, or asks about an app's engagement, retention…
- Data Informed PlanningPendoUse when planning a product feature, fix, or prioritization task where Pendo usage data, signals, issues, or customer feedback could ground the plan in real product behavior — e.g. "plan a fix for the pricing-page dropoff", "what should I build next", "improve the welcome flow". Skip for pure code refactors, infra, or tooling work.
- Feature AdoptionPendoAnalyze feature adoption rates, identify power users vs laggards, and track adoption trends using Pendo analytics. Use this skill whenever someone asks about feature adoption, feature usage, who's using a feature, adoption rates, feature rollout progress, or wants to understand how a specific feature is performing.
- Feedback AnalysisPendoAnalyze customer feedback using Pendo's feedback tools — cluster themes, extract insights, and surface churn/frustration risks. Use whenever the user asks about feedback trends, top complaints, feature requests, Voice of the Customer, churn risks, or what customers are saying about a topic or account.
- Guide ManagementPendoRun a guide-review pass over the Guide Signals Pendo has already produced — list the archive, deactivate, and anomaly signals for an app, show each with its evidence and how old it is, then let the user mute a signal or deactivate/archive the guide.
- Orchestrate JourneysPendoCreate, configure, and edit Orchestrate email journeys via MCP — audience, schedule, goal, multi-step sequences, and email content. Use for welcome or onboarding sequences, re-engagement or win-back, create or update a journey, or prepare to go live. For opens, clicks, or journey metrics, use Orchestrate metrics MCP tools directly — not this skill's reference workflow.
- Pendo Guide CreatorPendoCreates production-ready Pendo in-app guides as HTML/CSS/JS files, drawing on guide type best practices, org-specific content guidelines, and user-provided context. Trigger this skill whenever a user types /pendo-guides:pendo-guide-creator or uses natural language like "create a guide", "build a Pendo guide", "write a walkthrough", "make an announcement guide", "create an alert", "build a poll"…
- Replay TriagePendoTriage issues captured in a Pendo session replay by fetching devlogs, mapping errors to the local codebase, proposing fixes, and prompting for a pull request. Accepts either a replay URL directly or a ticket reference (e.g. Jira key or URL, GitHub issue URL, etc.) and will pull the replay link from the ticket.
- Setup Agent AnalyticsPendoSet up Pendo agent analytics in a codebase — detect the AI agent(s) and instrument them so prompts, responses, and reactions flow to Pendo. Reads the codebase to choose the best of four installation paths: the Python SDK, the TypeScript SDK, client-side window.pendo.trackAgent(), or the server-side Conversations API.
- Setup MCP Agent AnalyticsPendoInstrument an MCP server with Pendo MCP analytics in Python, TypeScript, Go, or Java. Detects which language/SDK the server is built with and wires up the matching Pendo integration — PendoMCPServer (Python), initMcp() (TypeScript), gosdk.Instrument() (Go), or PendoMcpServer.wrapAll() (Java, io.pendo:pendo-sdk-mcp) — then verifies data is flowing to Pendo Agent Analytics.