Agentcall (join-meeting) lets your AI agent to join meetings and collaborate like a real teammate
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionjoin-meetingExecute 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.
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 join-meeting. Access via /join-meeting 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.
Submit your Claude Code skill and start earning
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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| 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. |
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.
Pass the meeting link, and optionally the mode, the voice strategy, and a port number.
npx skills add pattern-ai-labs/agentcall --skill join-meeting
Works with Claude Code, Cursor, Codex, Gemini CLI, Windsurf, OpenClaw, and 30 plus other agents.
Complete instructions, scripts, modes, and setup are in the repository: github.com/pattern-ai-labs/agentcall
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.
googlecolab/google-colab-cli
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shubhamsaboo/awesome-llm-apps
mindrally/skills
wshobson/agents
Keeps context tight: join-meeting is the kind of skill you can hand to a new teammate without a long onboarding doc.
join-meeting is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in join-meeting — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend join-meeting for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
We added join-meeting from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
join-meeting reduced setup friction for our internal harness; good balance of opinion and flexibility.
Solid pick for teams standardizing on skills: join-meeting is focused, and the summary matches what you get after install.
I recommend join-meeting for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
join-meeting reduced setup friction for our internal harness; good balance of opinion and flexibility.
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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