Build voice AI agents on LiveKit Cloud with structured workflows, minimal latency, and mandatory test coverage.
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
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
Submit your Claude Code skill and start earning
epx add livekit/agent-skills --skill livekit-agentsCompatible with
Supported agents
Use LiveKit Cloud and LiveKit Inference for managed infrastructure and AI models without separate API keys
Design agents around handoffs (agent-to-agent transitions) and tasks (scoped operations) to isolate context and reduce latency
Every agent implementation requires tests covering basic conversation flow, tool invocation, error handling, and edge cases before deployment
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionlivekit-agentsExecute the skills CLI command in your project's root directory to begin installation:
epx add livekit/agent-skills --skill livekit-agentsFetches livekit-agents from livekit/agent-skills 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:
.cursor/skills/livekit-agents
Restart Cursor to activate livekit-agents. Access via /livekit-agentsin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Time estimate: 30-60 minutes to see productivity improvements
Prerequisites
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.
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I recommend livekit-agents for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
I recommend livekit-agents for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
livekit-agents fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Solid pick for teams standardizing on skills: livekit-agents is focused, and the summary matches what you get after install.
livekit-agents has been reliable in day-to-day use. Documentation quality is above average for community skills.
livekit-agents is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
livekit-agents fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Keeps context tight: livekit-agents is the kind of skill you can hand to a new teammate without a long onboarding doc.
livekit-agents has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: livekit-agents is focused, and the summary matches what you get after install.
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