Query Microsoft 365 data with natural language to surface emails, meetings, documents, Teams messages, and people insights.
Works with
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 \"...\" , an
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionworkiq-copilotExecute the skills CLI command in your project's root directory to begin installation:
Fetches workiq-copilot from github/awesome-copilot and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate workiq-copilot. Access via /workiq-copilot in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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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.
copilot/plugin marketplace add github/copilot-plugins/plugin install workiq@copilot-pluginsnpm install -g @microsoft/workiq (or npx -y @microsoft/workiq mcp).workiq mcp to expose MCP tools if needed.Get-Command workiq to ensure the binary is available.workiq accept-eula.-t <tenant-id> if different from default common).workiq ask --question "<prompt>" (use -q for shorthand if desired).| 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). |
workiq mcp) when another agent/workflow needs direct tool access.Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
github/awesome-copilot
github/awesome-copilot
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
workiq-copilot reduced setup friction for our internal harness; good balance of opinion and flexibility.
Keeps context tight: workiq-copilot is the kind of skill you can hand to a new teammate without a long onboarding doc.
Useful defaults in workiq-copilot — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
workiq-copilot has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: workiq-copilot is focused, and the summary matches what you get after install.
workiq-copilot has been reliable in day-to-day use. Documentation quality is above average for community skills.
We added workiq-copilot from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
workiq-copilot fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Solid pick for teams standardizing on skills: workiq-copilot is focused, and the summary matches what you get after install.
workiq-copilot is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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