data-charts-takolisted
Install: claude install-skill gooseworks-ai/goose-skills
# Tako Knowledge Search & Visualization
## 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"`
Search for data with natural language and get interactive charts, AI-generated insights, and embeddable knowledge cards. Covers finance, economics, demographics, sports, politics, climate, and health from sources like S&P Global, World Bank, and more.
## When to Use
- User asks a data question ("What's NVIDIA's revenue?", "US GDP growth?")
- User wants to compare metrics ("Tesla vs Ford market cap")
- User needs a chart or visualization for a report
- User wants to turn their own data into a chart
- User asks for insights or analysis on a data trend
## Usage
### Search for Data
```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":"tako","path":"/v1/knowledge_search","body":{"inputs":{"text":"NVIDIA vs AMD revenue since 2018"}}}'
```
With search effort and source options:
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