Data & AI
workiq-copilot - Claude MCP Skill
Guides the Copilot CLI on how to use the WorkIQ CLI/MCP server to query Microsoft 365 Copilot data (emails, meetings, docs, Teams, people) for live context, summaries, and recommendations.
SEO Guide: Enhance your AI agent with the workiq-copilot tool. This Model Context Protocol (MCP) server allows Claude Desktop and other LLMs to guides the copilot cli on how to use the workiq cli/mcp server to query microsoft 365 copilot data (... Download and configure this skill to unlock new capabilities for your AI workflow.
Documentation
SKILL.md# WorkIQ Copilot Skill ## Overview WorkIQ (Public Preview) lets Copilot query Microsoft 365 data with natural language. It supports schedules, documents, Teams messages, email threads, follow-up tracking, stakeholder summaries, and more. Use this skill whenever a task needs live organizational intelligence beyond the local repository. ## Supported Data & Sample Prompts - **Emails** – “Summarize emails from Sarah about the budget.” - **Meetings** – “What are my upcoming meetings this week?” - **Documents** – “Find recent documents about Q4 planning.” - **Teams** – “Summarize messages in the Engineering channel today.” - **People/Projects** – “Who is working on Project Alpha?” ## Getting Access 1. **Copilot CLI plugin (preferred)** - `copilot` - `/plugin marketplace add github/copilot-plugins` - `/plugin install workiq@copilot-plugins` - Restart Copilot CLI. 2. **Standalone CLI / MCP server** - `npm install -g @microsoft/workiq` (or `npx -y @microsoft/workiq mcp`). - Run `workiq mcp` to expose MCP tools if needed. 3. **Tenant consent** - First use prompts for Microsoft 365 admin consent (EULA + permissions). Non-admins must contact tenant admin to approve per the Tenant Administrator Enablement Guide. ## Pre-flight Checklist - Run `Get-Command workiq` to ensure the binary is available. - Accept the EULA once via `workiq accept-eula`. - Confirm the correct tenant (`-t <tenant-id>` if different from default `common`). - Be ready to complete device login in the browser when prompted. ## Core Workflow 1. **Clarify intent** – agenda, action items, document lookup, people search, risk summary, etc. 2. **Craft precise prompt** – include timeframe, source, or topic (e.g., “Summarize Teams posts in #eng for today”). 3. **Run command** – `workiq ask --question "<prompt>"` (use `-q` for shorthand if desired). 4. **Monitor execution** – long answers may stream; wait for the response to finish before issuing additional requests. 5. **Summarize & redact** – highlight insights, note conflicts/tasks, avoid pasting raw links unless required. 6. **Offer follow-ups** – blocking time, drafting notes, deeper queries, etc. ## Command Reference | Command | Purpose | | --------------------------------- | ------------------------------------------------------------- | | `workiq --help` | Show global options. | | `workiq version` | Display installed version. | | `workiq accept-eula` | Accept license (first use). | | `workiq ask` | Interactive mode. | | `workiq ask --question "..."` | Ask a specific question (use `-q` shorthand if preferred). | | `workiq ask -t <tenant> -q "..."` | Target a specific tenant. | | `workiq mcp` | Start MCP stdio server (expose WorkIQ tools to other agents). | ## Prompt Patterns - Agenda: “What’s on my calendar tomorrow?” - Action items: “Summarize follow-ups from today’s customer sync.” - Documents: “List PowerPoints about Contoso FY26 roadmap.” - Communications: “What did my manager say about the deadline?” - Insights: “What blockers came up in the last three meetings?” - Planning: “Suggest focus blocks for Tuesday afternoon.” ## Response Guidelines - Keep summaries concise (2–3 sentences) calling out load, priorities, blockers, and optional next steps. - Refer to meetings/documents generically unless the user specifically needs links. - Mention if WorkIQ can continue (e.g., “WorkIQ can show Thu–Sun if needed”). - Map WorkIQ’s suggested actions to clear offers (block time, send follow-up, request recording, run deeper query). ## Best Practices - Prefer narrow prompts to reduce noise; run multiple queries if needed. - Combine outputs logically (agenda + conflicts + action items) before responding. - Respect privacy: do not expose attendee lists or confidential snippets unless explicitly requested. - Log which commands were run so future steps can reference them (“Asked WorkIQ for agenda + conflicts”). - Use MCP mode (`workiq mcp`) when another agent/workflow needs direct tool access. ## Troubleshooting - **Missing CLI** – install via npm or ensure PATH is set; notify user if unavailable. - **Consent/auth errors** – re-run command after admin grants permissions or after completing device login. - **Long/incomplete output** – rerun with refined scope or ask for specific data slices (per day/project/person). - **Command hanging** – cancel the running command in your terminal (for example, with Ctrl+C) or restart the Copilot CLI session, then retry; ensure browser login completed. ## Follow-up Actions to Offer - Block focus/overflow holds at suggested times. - Draft reschedule/decline messages referencing WorkIQ guidance. - Request recordings or summaries for overlapping sessions. - Capture action items into task trackers. - Run additional WorkIQ queries (by project, stakeholder, time range) for deeper analysis.
Signals
Information
- Repository
- github/awesome-copilot
- Author
- github
- Last Sync
- 3/12/2026
- Repo Updated
- 3/12/2026
- Created
- 1/28/2026
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