Workiq Copilot
GitHubOfficialFirst committed by VeVarunSharmaDistributed by GitHub
- Skill
- Tool integration
- Automation and integrations
- MIT
- Low risk
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
WorkIQ is a tool that enables AI agents to interface with Microsoft 365 data, providing live context from emails, meetings, documents, and Teams messages. This skill provides the necessary guidance for setting up the WorkIQ CLI or MCP server, allowing users to perform natural language queries against their organizational data for summaries, action item tracking, and scheduling recommendations.
What it does
- Enables natural language querying of Microsoft 365 data sources.
- Provides summaries of emails, Teams messages, and meeting content.
- Supports project and stakeholder tracking through organizational intelligence.
- Exposes tools to other agents via an MCP stdio server.
- Facilitates scheduling and action item identification based on live data.
When to use it
- When you need to retrieve live context from your Microsoft 365 environment.
- When summarizing meeting outcomes or action items across multiple platforms.
- When searching for specific documents or project updates within an organization.
- When an agent needs direct access to organizational data via MCP.
Advantages
- Centralizes organizational intelligence within the Copilot CLI workflow.
- Reduces manual searching across disparate M365 applications.
- Supports both direct CLI interaction and agent-to-agent MCP communication.
- Provides actionable insights like focus block suggestions and follow-up tracking.
Usage examples
- “Summarize emails from Sarah about the budget.”
- The agent queries the WorkIQ server to filter and summarize relevant email threads, providing a concise overview of budget-related discussions.
- “What are my upcoming meetings this week?”
- The agent retrieves calendar data via the WorkIQ CLI to present a summary of the user's schedule for the current week.
Install
Download the skill as a ZIP:
https://autogineer.com/agent-skills/github/workiq-copilot/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip workiq-copilot.zip -d .agents/skills
Documentation by VeVarunSharma
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
Copilot CLI plugin (preferred)
copilot/plugin marketplace add github/copilot-plugins/plugin install workiq@copilot-pluginsRestart Copilot CLI.
Standalone CLI / MCP server
npm install -g @microsoft/workiq(ornpx -y @microsoft/workiq mcp).Run
workiq mcpto expose MCP tools if needed.
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 workiqto ensure the binary is available.Accept the EULA once via
workiq accept-eula.Confirm the correct tenant (
-t <tenant-id>if different from defaultcommon).Be ready to complete device login in the browser when prompted.
Core Workflow
Clarify intent – agenda, action items, document lookup, people search, risk summary, etc.
Craft precise prompt – include timeframe, source, or topic (e.g., “Summarize Teams posts in #eng for today”).
Run command –
workiq ask --question "<prompt>"(use-qfor shorthand if desired).Monitor execution – long answers may stream; wait for the response to finish before issuing additional requests.
Summarize & redact – highlight insights, note conflicts/tasks, avoid pasting raw links unless required.
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.
Files
- ATTRIBUTION.mdAdded by AutoGineer871 B
- LICENSELicence file added by AutoGineer1.0 KiB
- SKILL.md5.4 KiB
Requirements and compatibility
Written for: GitHub Copilot
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Needs: Needs an MCP server, Needs Node.js
Security
What our scanner noticed· Low risk
- Instructions that use the network
A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.
Attribution and licence
- First committed by
VeVarunSharma
- Publisher
- GitHub (Official)
- Distributed by
- GitHub
- Source
- github/awesome-copilot · skills/workiq-copilot · commit 797337f
- Licence
- MIT License (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
- Contributors
- VeVarunSharma
AutoGineer is not affiliated with or endorsed by VeVarunSharma or GitHub.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download workiq-copilot.zip