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Agent skill

Data Charts Tako

by gooseworks-ai in gooseworks-ai/goose-skills

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

MITAuto-check passedData & Analytics

Install Data Charts Tako

skills CLI
$ npx skills add gooseworks-ai/goose-skills --skill data-charts-tako -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install gooseworks-ai/goose-skills data-charts-tako --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/design/capabilities/data-charts-tako .claude/skills/data-charts-tako && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
data-charts-tako
GitHub stars
1.2k
Used in
1 other repo
Token cost
~2.4k tokens
SKILL.md length
553 words
Files
2
Skills in repo
273
Repo updated
First seen
Licence
MIT

At a glance

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

  • Data & Analytics work in your project
  • SKILL.md covers Setup, When to Use, Usage and Parameters, plus 4 more sections
  • Calls curl, python3 and npx; reaches api.gooseworks.ai; needs GOOSEWORKS_API_KEY

What it does

Data Charts Tako is an agent skill from gooseworks-ai/goose-skills. Search and visualize the world's data - get charts, insights, and embeddable knowledge cards for finance, economics, demographics, sports, and more

Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `skill.meta.json`).

It sits in Data & Analytics. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.

When your agent uses it

  • Data & Analytics work in your project

Example prompts

  • “/data-charts-tako”

Requirements

  • Python 3
  • Node.js
  • A credential in GOOSEWORKS_API_KEY

What it can do on your machine

Read from SKILL.md and the folder at commit c650c6d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • curl
    • python3
    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • api.gooseworks.ai

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • GOOSEWORKS_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Data Charts Tako loads about 2.4k tokens when it runs. Until then it costs about 41 tokens; SKILL.md has 553 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~41
When it runs · the whole SKILL.md, loaded when a task matches
~2.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 553 words, ~2,391 tokens.

Download SKILL.mdSave it as .claude/skills/data-charts-tako/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
data-charts-tako
description
Search and visualize the world's data - get charts, insights, and embeddable knowledge cards for finance, economics, demographics, sports, and more
source
orthogonal

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:

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

With dark mode chart images:

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":"Bitcoin price history"},"output_settings":{"knowledge_card_settings":{"image_dark_mode":true}}}}'
Get Chart Insights
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/beta/chart_insights","query":{"card_id":"sXQPVnixcDUf2Iw35Via"}}'
Visualize Your Own Data

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

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/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:

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/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.

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/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
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/thin_viz/default_schema/"}'
Get Tako Tool Descriptions
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/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
Show full SKILL.md (204 more words)Show less
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

bash
# 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"]

© gooseworks-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/design/capabilities/data-charts-tako of gooseworks-ai/goose-skills.

  • SKILL.md
  • skill.meta.json

Open the folder on GitHubat commit c650c6d

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in gooseworks-ai/goose-skills, which our catalogue first saw on October 9, 2026.

Compare with similar skills

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Categories

Questions about Data Charts Tako

What does Data Charts Tako do?

Search and visualize the world's data - get charts, insights, and embeddable knowledge cards for finance, economics, demographics, sports, and more. Data Charts Tako is an agent skill from gooseworks-ai/goose-skills.

When should I use Data Charts Tako?

Data Charts Tako fits situations like: data & Analytics work in your project.

How do I install Data Charts Tako in Claude Code?

Run `npx skills add gooseworks-ai/goose-skills --skill data-charts-tako -a claude-code`. Or copy the skill folder (skills/design/capabilities/data-charts-tako in gooseworks-ai/goose-skills) into .claude/skills/data-charts-tako in your project. Claude Code loads it when a task matches its description.

How do I install Data Charts Tako in Codex?

Run `npx skills add gooseworks-ai/goose-skills --skill data-charts-tako -a codex`. Or copy the skill folder (skills/design/capabilities/data-charts-tako in gooseworks-ai/goose-skills) into .agents/skills/data-charts-tako in your project. Codex loads it when a task matches its description.

Can I use Data Charts Tako in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add gooseworks-ai/goose-skills --skill data-charts-tako -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/data-charts-tako, .gemini/skills/data-charts-tako, .github/skills/data-charts-tako and .opencode/skills/data-charts-tako in your project.

What does Data Charts Tako need to run?

Going by SKILL.md and its folder, Data Charts Tako needs the command-line tools its instructions call (curl, python3 and npx) and credentials named GOOSEWORKS_API_KEY. Our summary lists: Python 3; Node.js; A credential in GOOSEWORKS_API_KEY.

Does Data Charts Tako access the network?

SKILL.md names 1 domain. In commands or code: api.gooseworks.ai; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Data Charts Tako safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Data Charts Tako use?

Data Charts Tako is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Data Charts Tako use?

About 2.4k tokens (SKILL.md is roughly 9.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Data Charts Tako?

Skills that share tags, products or a category with Data Charts Tako: Matplotlib (zLanqing/codex-claude-academic-skills, 4.7k stars), Exploratory Data Analysis (spacering-net/codeg, 3.9k stars), Scikit Learn (zLanqing/codex-claude-academic-skills, 4.7k stars) and Chart Visualization (bytedance/deer-flow, 84k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Data Charts Tako?

gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,240 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 2026.

Source: gooseworks-ai/goose-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.