{
  "markdown": "# Pendo Analytics Extension for Gemini CLI\n\nPendo analytics for Gemini CLI: account health, feature adoption, session replays, feedback analysis, and agent analytics setup.\n\n## Skills\n\n| Skill | Description |\n|:------|:------------|\n| `account-health` | Prepare for a customer call by synthesizing engagement, sentiment, and feedback from Pendo analytics |\n| `feature-adoption` | Analyze feature adoption rates, identify power users vs laggards, and track adoption trends |\n| `feedback-analysis` | Deep analysis of customer feedback — discover themes, extract insights, and identify risks |\n| `session-replay` | Find and surface relevant session replays for debugging, UX research, and understanding user behavior |\n| `setup-agent-analytics` | Detect AI agents in a codebase and instrument them with Pendo `trackAgent()` calls or the server-side Conversations API |\n\n## Installation\n\n### Option A: Install as Extension (Recommended)\n\n```bash\ngemini extensions install https://github.com/pendo-io/gemini-pendo-extension\n```\n\n### Option B: Install Individual Skills\n\n```bash\ngemini skills install https://github.com/pendo-io/gemini-pendo-extension.git --path skills/account-health\ngemini skills install https://github.com/pendo-io/gemini-pendo-extension.git --path skills/feature-adoption\ngemini skills install https://github.com/pendo-io/gemini-pendo-extension.git --path skills/feedback-analysis\ngemini skills install https://github.com/pendo-io/gemini-pendo-extension.git --path skills/session-replay\ngemini skills install https://github.com/pendo-io/gemini-pendo-extension.git --path skills/setup-agent-analytics\n```\n\n### Option C: Link Locally\n\n```bash\ngit clone https://github.com/pendo-io/gemini-pendo-extension.git\ncd gemini-pendo-extension\ngemini extensions link .\n```\n\n## Authentication\n\nAfter installing, authenticate the Pendo MCP server when prompted during your first session. The extension connects to `https://app.pendo.io/mcp/v0/shttp` via OAuth.\n\n## Usage\n\nOnce installed, the skills activate automatically when Gemini detects a relevant request. You can also invoke them directly:\n\n- \"Check the health of the Acme account\"\n- \"How is the dashboard feature being adopted?\"\n- \"What are customers saying about onboarding?\"\n- \"Find session replays with rage clicks\"\n- \"Set up Pendo agent analytics in this codebase\"\n\n## MCP Tools\n\nThe Pendo MCP server provides these tools:\n\n| Tool | Purpose |\n|:-----|:--------|\n| `activityQuery` | Engagement metrics and activity data |\n| `productEngagementScore` | PES calculations |\n| `searchEntities` | Find accounts, pages, features |\n| `accountQuery` | Account metadata |\n| `accountMetadataSchema` | Account metadata schema |\n| `visitorQuery` | Visitor metadata |\n| `sessionReplayList` | Find session recordings |\n| `generate_feedback_topics` | Cluster feedback into themes |\n| `get_feedback_insights` | Extract key insights |\n| `get_feedback_items` | Raw feedback data |\n| `guideMetrics` | Guide performance metrics |\n| `segmentList` | Available segments |\n| `list_all_applications` | List Pendo applications |\n\n## Compatibility\n\nThis extension also follows the [Agent Skills](https://agentskills.io) open standard. Skills in the `skills/` directory use the standard `SKILL.md` format and are compatible with any tool that supports the Agent Skills specification, including Claude Code (via `.agents/skills/`).\n\n## License\n\nMIT\n",
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  "repo_slug": "pendo-io/gemini-pendo-extension",
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}