Answer company questions using Glean across Slack, email, calendars, and CRM.
npx skills add https://github.com/ken-cavanagh-glean/fieldkit --skill glean-mcp
Please help me install this Agent Skill. Skill: glean-mcp Source: https://github.com/ken-cavanagh-glean/fieldkit/tree/main/plugins/glean-mcp/skills/glean-mcp Command: npx skills add https://github.com/ken-cavanagh-glean/fieldkit --skill glean-mcp
This skill provides a Glean-powered work knowledge agent to answer questions about the user's company, accounts, colleagues, meetings, documents, and work history.
Ask a question like: "What is the status of the Acme Corp. account and who are the key contacts?" or "Give me a summary of recent meetings with Jane Doe."
High-intent search queries and answers about installing and using this skill.
This skill synthesizes work knowledge across Slack, email, calendars, CRM, and file repositories to answer questions about accounts, colleagues, meetings, and documents with cited sources, eliminating manual data gathering across disconnected apps.
Yes, the skill provides a chat-based interface that returns concise, sourced insights about your company context—accounts, colleagues, and work history—without requiring code or technical setup.
Enterprise context synthesis pulls from Slack, email, calendars, CRM systems, and file repositories to consolidate knowledge about accounts, colleagues, meetings, documents, and work history into a single queryable interface.
Ask the chat interface a question like 'What is the status of the Acme Corp. account and who are the key contacts?' and receive a consolidated briefing with cited sources for verification.
Yes, the skill synthesizes context from connected calendar and communication systems to summarize recent meetings with specific colleagues and cite source documents and communications.
GACLoveGenerate structured legal meeting briefings from calendars, emails, chats, documents, CLM, and CRM.
alecs5amConvert reference URLs and handles into cited research reports with sources.json.
ilove323Discover and prioritize MCP-connected enterprise search sources for unified query coverage.
ilove323Decompose natural language queries into parallel, source-specific searches across connected data sources.
