Create ElevenLabs Conversational AI voice agents for client discovery, feedback, and check-in calls. Automatically generates agent configuration from client context.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionvoice-agentsExecute the skills CLI command in your project's root directory to begin installation:
Fetches voice-agents from casper-studios/casper-marketplace 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 voice-agents. Access via /voice-agents 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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Create ElevenLabs Conversational AI voice agents for client discovery, feedback, and check-in calls. Automatically generates agent configuration from client context.
What type of agent?
│
├── Discovery agent (interview clients)
│ └── --scope discovery
│
├── Feedback agent (post-project)
│ └── --scope feedback
│
├── Check-in agent (relationship)
│ └── --scope check-in
│
├── Qualification agent (leads)
│ └── --scope qualification
│
└── Onboarding agent (new contacts)
└── --scope onboarding
# Required in .env
ELEVENLABS_API_KEY=your_api_key
OPENROUTER_API_KEY=your_api_key # For prompt generation
python scripts/create_voice_agent.py "Microsoft" --scope discovery --notes "CRM migration project"
python scripts/create_voice_agent.py "Acme Corp" --scope feedback --notes "Post-project review"
python scripts/create_voice_agent.py "Test Company" --scope discovery --notes "Testing" --dry-run
| Scope | Purpose |
|---|---|
discovery |
Interview client team about operations, pain points, tech stack |
feedback |
Gather feedback on completed project |
check-in |
Periodic relationship check-ins |
qualification |
Qualify inbound leads before sales |
onboarding |
Guide new contacts through info gathering |
The script generates:
[{Company Name}] {Scope} Agent v1
Voice-optimized greeting that:
Comprehensive conversation guide with:
{
"agent_id": "abc123xyz",
"agent_name": "[Microsoft] Discovery Agent v1",
"agent_url": "https://elevenlabs.io/app/conversational-ai/agents/abc123xyz",
"first_message": "Hi there! This is an AI assistant...",
"company_name": "Microsoft",
"scope": "discovery"
}
The script optionally fetches context from Google Drive:
If not available, generates with provided notes only.
| Service | Cost |
|---|---|
| OpenRouter (prompt generation) | ~$0.01-0.03 |
| ElevenLabs agent creation | Free |
| Google Drive | Free |
ELEVENLABS_API_KEY in .env file (never commit to git)OPENROUTER_API_KEY in .env file (never commit to git)ELEVENLABS_API_KEY - Full access to voice agent creation/managementOPENROUTER_API_KEY - AI model access for prompt generationSymptoms: API error when creating voice agent Cause: Invalid configuration, missing fields, or API issue Solution:
Symptoms: "Voice not found" or "invalid voice_id" error Cause: Voice ID doesn't exist or not accessible Solution:
Symptoms: "Quota exceeded" or rate limit error Cause: ElevenLabs subscription limits reached Solution:
Symptoms: Agent created but doesn't respond in conversations Cause: System prompt issues, webhook configuration, or service issue Solution:
Symptoms: Error generating agent prompt Cause: OpenRouter API issue or invalid model Solution:
OPENROUTER_API_KEY is set correctly--dry-run to test without API callsSymptoms: Agent created without client context Cause: OAuth issue or client folder not found Solution:
--notes flag as alternativeSkills: transcript-search → voice-agents Use case: Create voice agents with client history Flow:
Skills: voice-agents → attio-crm Use case: Log voice agent call summaries Flow:
Skills: parallel-research → voice-agents Use case: Arm voice agents with company intelligence Flow:
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.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
voice-agents has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: voice-agents is the kind of skill you can hand to a new teammate without a long onboarding doc.
voice-agents has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: voice-agents is the kind of skill you can hand to a new teammate without a long onboarding doc.
Keeps context tight: voice-agents is the kind of skill you can hand to a new teammate without a long onboarding doc.
voice-agents has been reliable in day-to-day use. Documentation quality is above average for community skills.
voice-agents fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added voice-agents from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
We added voice-agents from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Registry listing for voice-agents matched our evaluation — installs cleanly and behaves as described in the markdown.
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