orthogonal-tavus
AI video conversations - create real-time video calls with AI personas
Best use case
orthogonal-tavus is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
AI video conversations - create real-time video calls with AI personas
Teams using orthogonal-tavus should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/orthogonal-tavus/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How orthogonal-tavus Compares
| Feature / Agent | orthogonal-tavus | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
AI video conversations - create real-time video calls with AI personas
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Tavus - AI Video Conversations
## Setup
Read your credentials from ~/.gooseworks/credentials.json:
```bash
export GOOSEWORKS_API_KEY=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json'))['api_key'])")
export GOOSEWORKS_API_BASE=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json')).get('api_base','https://api.gooseworks.ai'))")
```
If ~/.gooseworks/credentials.json does not exist, tell the user to run: `npx gooseworks login`
All endpoints use Bearer auth: `-H "Authorization: Bearer $GOOSEWORKS_API_KEY"`
Create real-time video conversations with AI-powered digital personas.
## Capabilities
- **List Personas**: This endpoint returns a list of all Personas
- **Create Conversation**: This endpoint starts a real-time video conversation with your AI replica, powered by a persona that allows it to see, hear, and respond like a human
## Usage
### List Personas
This endpoint returns a list of all Personas. You can first list the Personas to choose which one you'd like to create a conversation with. Then, using the Create Conversation endpoint, you can start a conversation with that persona providing the persona ID.
```bash
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"tavus","path":"/v2/personas"}'
```
### Create Conversation
This endpoint starts a real-time video conversation with your AI replica, powered by a persona that allows it to see, hear, and respond like a human. Provide the most relevant persona_id obtained from the List Personas endpoint.
Parameters:
- persona_id* (string) - p1b06420cfdc
```bash
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"tavus","path":"/v2/conversations"}'
"persona_id": "your-persona-id",
"conversation_name": "Customer Support Call"
}'
```
## Use Cases
1. **Customer Support**: AI-powered video support agents
2. **Sales Demos**: Personalized video product demos
3. **Training**: Interactive video training sessions
4. **Onboarding**: Automated new user onboarding calls
5. **Interviews**: AI-assisted screening interviews
## Discover More
For full endpoint details and parameters:
```bash
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/search \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt":"tavus API endpoints"}' List all endpoints
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/details \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"tavus","path":"/v2/personas"}' # Get endpoint details
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