join-meeting
Agentcall (join-meeting) lets your AI agent to join meetings and collaborate like a real teammate
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Installation Guide
How to use join-meeting on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your machine
- ›Node.js 16+ with npm — verify with
node --version - ›Active project directory where you want to add
join-meeting
Run the install command
Execute the skills CLI command in your project's root directory to begin installation:
Fetches join-meeting from pattern-ai-labs/agentcall and configures it for Cursor.
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate join-meeting. Access via /join-meeting in your agent's command palette.
Security Notice
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.
Documentation
| name | join-meeting |
| description | AgentCall lets an AI agent join a video meeting (Google Meet, Microsoft Teams, Zoom) as a participant with voice and visual presence. Use when asked to join a call, attend a meeting, or participate in a video conference. |
join-meeting
AgentCall lets any AI coding agent join Google Meet, Zoom, and Microsoft Teams as a real participant. The agent can speak via text-to-speech, receive live transcripts, share its screen, show an animated avatar, and read meeting chat — all while keeping its full coding session context.
When to use this skill
- The user asks the agent to join a call, attend a meeting, or sit in on a video conference.
- The user wants the agent to take notes, answer when addressed, present, or screenshare during a live meeting.
Modes
- audio: voice only. Simplest mode, good for conversations and note-taking.
- webpage-av: voice plus an animated avatar as the camera feed.
- webpage-av-screenshare: voice, avatar, and screenshare for presentations.
Voice strategies
- direct: the agent controls speech directly. Best for one-on-one conversations.
- collaborative: voice intelligence handles timing. Best for group meetings and natural turn-taking.
Arguments
Pass the meeting link, and optionally the mode, the voice strategy, and a port number.
Prerequisites
- Python 3.10 or newer, or Node.js 18 or newer.
- An AgentCall API key. A free tier is available at agentcall.dev.
Install
npx skills add pattern-ai-labs/agentcall --skill join-meeting
Compatibility
Works with Claude Code, Cursor, Codex, Gemini CLI, Windsurf, OpenClaw, and 30 plus other agents.
Full documentation
Complete instructions, scripts, modes, and setup are in the repository: github.com/pattern-ai-labs/agentcall
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Use Cases
User Story & Requirements Generation
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
Competitive Analysis
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
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
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
Implementation Guide
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Steps
- 1Install product management skill
- 2Start with user story generation for known feature
- 3Progress to competitive analysis: research 2-3 competitors
- 4Use for roadmap prioritization: apply RICE/ICE scoring
- 5Draft stakeholder communications and refine based on feedback
- 6Build template library for recurring PM tasks
- 7Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This
✓ 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.
Learning Path
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
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Reviews
- AAditi Perez★★★★★Dec 16, 2024
Keeps context tight: join-meeting is the kind of skill you can hand to a new teammate without a long onboarding doc.
- KKwame Choi★★★★★Dec 12, 2024
join-meeting is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- AAanya Torres★★★★★Dec 8, 2024
Useful defaults in join-meeting — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- AAanya Martinez★★★★★Nov 27, 2024
I recommend join-meeting for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- NNia Abbas★★★★★Nov 7, 2024
We added join-meeting from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- LLayla Gill★★★★★Nov 3, 2024
join-meeting reduced setup friction for our internal harness; good balance of opinion and flexibility.
- OOmar Menon★★★★★Oct 26, 2024
Solid pick for teams standardizing on skills: join-meeting is focused, and the summary matches what you get after install.
- LLayla Bansal★★★★★Oct 22, 2024
I recommend join-meeting for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- AAanya Khan★★★★★Oct 18, 2024
join-meeting reduced setup friction for our internal harness; good balance of opinion and flexibility.
- OOshnikdeep★★★★★Sep 21, 2024
Keeps context tight: join-meeting is the kind of skill you can hand to a new teammate without a long onboarding doc.
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