mcpbeat Sign in

Data Charts Tako Agent Skill

by gooseworks-ai

Search and visualize the world's data - get charts, insights, and embeddable knowledge cards for finance, economics, demographics, sports, and more

2k tokens
context cost
the whole folder, loaded on every use
2
files
instructions only
0
copies elsewhere
how many repositories repackaged it
1086
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository 
npx skills add https://github.com/gooseworks-ai/goose-skills --skill data-charts-tako

What comes with it

279 bytes besides the instruction
skill.meta.json

The instruction itself

24 sections, as written by the author

Tako Knowledge Search & Visualization

Setup

Read your credentials from ~/.gooseworks/credentials.json:

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

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:

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":"US inflation rate 2020-2025","search_effort":"deep"},"source_indexes":["tako","web"]}}'

With dark mode chart images:

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":"Bitcoin price history"},"output_settings":{"knowledge_card_settings":{"image_dark_mode":true}}}}'

Get Chart Insights

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/beta/chart_insights","query":{"card_id":"sXQPVnixcDUf2Iw35Via"}}'

Visualize Your Own Data

Provide data as CSV strings. Tako picks the best chart type automatically.

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/beta/visualize"}'
Q1 2024,100
Q2 2024,150
Q3 2024,220
Q4 2024,310"], "query": "Show quarterly revenue as a bar chart"}'

Request a specific chart type:

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/beta/visualize"}'
US,500
EU,300
Asia,250"], "query": "Sales by region", "viz_component_type": "pie"}'

Create a Custom Chart

Build charts from scratch with full control over components and layout.

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/thin_viz/create/","body":{"components":[{"component_type":"header","config":{"title":"Sales by Region"}},{"component_type":"categorical_bar","config":{"datasets":[{"label":"Revenue (M)","data":[{"x":"US","y":500},{"x":"EU","y":300},{"x":"Asia","y":250}]}]}}],"title":"Sales by Region","source":"Internal Data"}}'

List Available Chart Types

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/thin_viz/default_schema/"}'

Get Tako Tool Descriptions

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/tako_tools_description"}'

Parameters

Knowledge Search (POST /v1/knowledge_search)

Body:

  • inputs.text (string, required) - Natural language query (e.g. "Tesla vs Ford market cap")
  • inputs.search_effort (string) - "fast", "medium", "deep", or "auto"
  • source_indexes (array) - Priority order: "tako", "web", "tako_deep_v2". Default: ["tako"]
  • country_code (string) - ISO 3166-1 alpha-2 (e.g. "US", "GB"). Default: "US"
  • locale (string) - e.g. "en-US", "de-DE". Default: "en-US"
  • output_settings (object) - {"knowledge_card_settings": {"image_dark_mode": true}} for dark mode

Chart Insights (GET /v1/beta/chart_insights)

  • card_id (string, required) - Card ID from Knowledge Search or Create Card response

Visualize Datasets (POST /v1/beta/visualize)

Body:

  • csv (array of strings, required) - CSV data with headers in first row. Example: `["name,value

Apple,3.7

NVIDIA,3.4"]`

  • query (string) - How to visualize (e.g. "Show as a bar chart")
  • viz_component_type (string) - Force chart type: bar, grouped_bar, stacked_bar, timeseries, pie, choropleth, scatter, boxplot, heatmap, waterfall, histogram, table, treemap

Create Card (POST /v1/thin_viz/create/)

Body:

  • components (array, required) - Each needs component_type (header, categorical_bar, pie, scatter, table, choropleth, heatmap, histogram, boxplot, treemap, waterfall, bubble, etc.) and config (type-specific data)
  • title (string) - Card title
  • description (string) - Card description
  • source (string) - Data source attribution for footer

List Default Schemas (GET /v1/thin_viz/default_schema/)

No parameters.

Tool Descriptions (GET /v1/tako_tools_description)

  • index_ids (string) - Comma-separated index IDs to filter

Response

Knowledge Search — data.outputs.knowledge_cards[]

  • card_id - Unique ID (use for Chart Insights or embed URLs)
  • title - Chart title
  • description - Text description of the data and trends
  • card_type - "chart", "table", "company", or "text"
  • webpage_url - Interactive card page on Tako
  • image_url - Static chart image (embed in messages, reports)
  • embed_url - Embeddable iframe URL
  • relevance - "High", "Medium", or "Low"
  • sources - Data sources with name and description
  • visualization_data - Raw chart data points

Chart Insights — data

  • insights - Array of AI-generated observations
  • description - Chart description

Create Card — data

  • card_id, title, webpage_url, image_url, embed_url

Examples

# What's the US unemployment rate?
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":"US unemployment rate"}}}'

# Compare company revenues
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":"Apple vs Microsoft vs Google revenue","search_effort":"deep"}}}'

# Get insights on a chart
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/beta/chart_insights","query":{"card_id":"sXQPVnixcDUf2Iw35Via"}}'

# Visualize your own CSV data
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/beta/visualize"}'
North America,500
Europe,300
Asia,250
LatAm,100"], "query": "Show sales by region"}'

# Create a custom bar chart
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/thin_viz/create/","body":{"components":[{"component_type":"categorical_bar","config":{"datasets":[{"label":"Revenue","data":[{"x":"Q1","y":100},{"x":"Q2","y":200}]}]}}],"title":"Quarterly Revenue"}}'

Tips

  • Knowledge Search is the main endpoint — start here for any data question
  • Use image_url to display charts in Slack, Discord, or other channels
  • embed_url gives an interactive iframe for web pages
  • Call List Default Schemas before Create Card to see available chart types
  • Set search_effort: "deep" for complex multi-metric comparisons
  • Data coverage: stock prices, revenue, GDP, unemployment, population, sports stats, weather, health, and more

Error Handling

  • 400 - Invalid body or missing required fields
  • 401 - Invalid API key
  • 404 - Card not found (Chart Insights) or no results found (Knowledge Search)
  • Empty knowledge_cards array — try rephrasing or using source_indexes: ["tako", "web"]

Other skills for the same job

different authors, same section of the catalogue
XLSX
by anthropics
vendor ×15

Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas

5k tokens scripts
XLSX
by w95
×7

Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like \"the xlsx in my downloads\") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.

3k tokens
Raffle Winner Picker
by frostant
×5

Picks random winners from lists, spreadsheets, or Google Sheets for giveaways, raffles, and contests. Ensures fair, unbiased selection with transparency.

949 tokens
Fda Database
by christophacham
×4

Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data analysis and safety research.

32k tokens scripts
Matlab
by christophacham
×4

MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing. Use when writing MATLAB/Octave scripts for linear algebra, signal processing, image processing, differential equations, optimization, statistics, or creating scientific visualizations. Also use when the user needs help with MATLAB syntax, functions, or wants to convert between MATLAB and Python code. Scripts can be executed with MATLAB or the open-source GNU Octave interpreter.

25k tokens
Umap Learn
by ComeOnOliver
×4

UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.

14k tokens
D3 Viz
by chrisvoncsefalvay
×3

Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment.

20k tokens
Alphafold Database
by christophacham
×3

Access AlphaFold 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (pLDDT, PAE), for drug discovery and structural biology.

7k tokens

How to use it

Copy the folder

Take gooseworks-ai/data-charts-tako from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.

Install what it needs

The instructions reference npx. Without those the skill loads but fails at the first command.