zoom-rtms Skill
Use when using RTMS. Published by openai in plugins.
Decision snapshot
Is this a fit?
Data analysis, Design and media, Includes SKILL.md, Reusable instructions
Compatibility not yet detected.
Permission behavior not yet detected.
Copy skill directory
20 days ago
No specific cautions were detected. Review the source and requested permissions before installing.
What is zoom-rtms Skill?
Use when using RTMS. Published by openai in plugins. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Data analysis
- Design and media
- Data analysis use cases
- Design and media use cases
Declared skill metadata
- Source file: plugins/zoom/skills/rtms/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use zoom-rtms Skill
- Use it for data analysis.
- Use it for design and media.
Built with
Editorial notes
Source
- Creator: openai
- Repository: openai/plugins
- Skill file: plugins/zoom/skills/rtms/SKILL.md
What it does
Use when using RTMS.
Skill instructions
Zoom Realtime Media Streams Use this skill when the integration needs real-time meeting or contact-center media as a backend stream. If the workflow needs a visible participant bot, compare against build-zoom-bot and zoom-meeting-sdk-linux before choosing RTMS. Workflow 1. Confirm the source surface: Meetings RTMS, Contact Center voice media, or another documented RTMS stream. 2. Decide whether RTMS is sufficient or whether a Meeting SDK bot is required for participant identity, meeting controls, or UI-visible behavior. 3. Implement the WebSocket lifecycle first: event subscription, connection validation, media start, heartbeat, reconnect, and shutdown. 4. Process media types intentionally: audio, video, screen share, chat, live transcript, and metadata have different payload and timing constraints. 5. Design downstream pipelines for buffering, transcription, AI analysis, recording, or tool invocation. 6. Debug by isolating app setup, webhook/event delivery, stream authorization, netwo
Verified compatibility and discovery
Frequently asked questions
What is zoom-rtms?
zoom-rtms is a open-source AI agent skill with Copy skill directory. Use when using RTMS.
Who is zoom-rtms best for?
zoom-rtms is best for reusing agent instructions, scripts, and references, data analysis workflows, design and media workflows.
How do I install zoom-rtms?
Install or run zoom-rtms using Copy skill directory. Check zoom-rtms for the latest setup command.
Is zoom-rtms actively maintained?
zoom-rtms may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
