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workiq-copilot

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by github · part of github/awesome-copilot

Query Microsoft 365 data with natural language to surface emails, meetings, documents, Teams messages, and people insights. Supports five data sources: emails, meetings, documents, Teams channels, and people/projects with natural-language prompts Install via Copilot CLI plugin (preferred) or standalone npm package; requires Microsoft 365 tenant admin consent on first use Core workflow: clarify intent, craft precise prompts with timeframe/source, run workiq ask --question "..." , and stream...

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🧩 One of 7 skills in the github/awesome-copilot package — works on its own, and pairs well with its siblings.

Query Microsoft 365 data with natural language to surface emails, meetings, documents, Teams messages, and people insights. Supports five data sources: emails, meetings, documents, Teams channels, and people/projects with natural-language prompts Install via Copilot CLI plugin (preferred) or standalone npm package; requires Microsoft 365 tenant admin consent on first use Core workflow: clarify intent, craft precise prompts with timeframe/source, run workiq ask --question "..." , and stream...

Inspect the full instructions your agent will receiveExpand

This is the exact playbook injected into your agent when the skill activates — shown here so you can audit it before installing. You don't need to read it to use the skill.

by github

Query Microsoft 365 data with natural language to surface emails, meetings, documents, Teams messages, and people insights. Supports five data sources: emails, meetings, documents, Teams channels, and people/projects with natural-language prompts Install via Copilot CLI plugin (preferred) or standalone npm package; requires Microsoft 365 tenant admin consent on first use Core workflow: clarify intent, craft precise prompts with timeframe/source, run workiq ask --question "..." , and stream... npx skills add https://github.com/github/awesome-copilot --skill workiq-copilot Download ZIPGitHub36.2k

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-plugins

  • Restart Copilot CLI.

  • Standalone CLI / MCP server

  • npm install -g @microsoft/workiq (or npx -y @microsoft/workiq mcp).

  • Run workiq mcp to 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 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

  • 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 commandworkiq ask --question "<prompt>" (use -q for 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.

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.