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data-charts-tako

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

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

gooseworks-ai/goose-skills

실행 점수 미검증

설치 방법 보기

포함된 파일(2)

SKILL.md9.3 KB
skill.meta.json279 B

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

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"]

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

같은 저장소의 스킬

ad-angle-miner

무료

Research supported advertising promises from a specific buyer's context, current product facts, customer language and observed ads. Turn them into static, video or copy ideas; match video ideas to actual recipes and save a product-scoped angle bank for write-video-ad-script. Product-led discovery can use verified facts without reviews. Reference persistence and reach are observations, not proof of performance.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

gooseworks-ai/goose-skills1.3천2026년 10월 24일 업데이트

ad-campaign-analyzer

무료

Analyze ad campaign performance data (Google, Meta, LinkedIn) to identify what's working, what's wasting budget, and specific cut/scale/test recommendations. Runs statistical analysis, funnel diagnostics, and multi-channel budget reallocation with specific dollar-amount shift recommendations and scenario modeling.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

gooseworks-ai/goose-skills1.3천2026년 10월 24일 업데이트

ad-lead-quality-analyzer

무료

For paid lead-gen and participant-recruitment ads, replaces vanity CPA with true CAC per qualified lead by joining ad-platform data with downstream funnel events, surfaces tracking gaps, and classifies every creative into Scale / Keep / Investigate / Cut.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

gooseworks-ai/goose-skills1.3천2026년 10월 24일 업데이트

ad-management-intake

무료

The intake stage of a Meta ad harness. Researches the brand first, states what it assumes, and asks only what it cannot infer and what would change money, claims or legal exposure if guessed wrong — at most four questions a turn, in plain business language. Writes the brand's stable facts (ads/brand.md), the campaign brief, and a log of what was asked vs assumed. Use it when someone wants to run Meta ads and the brand's ad facts are not yet recorded.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

gooseworks-ai/goose-skills1.3천2026년 10월 24일 업데이트

ad-policy-check

무료

Checks paid ads against the ad platform's rules (Meta, TikTok, Google, LinkedIn and others) and the brand's category rules: the copy, on-image or on-screen text, pictures and people. Rewrites what can be fixed honestly, adds the disclosures that are needed, and flags anything that needs a human or legal review, with one pass, fixed or flag line per ad and platform. Use alone when you already have the ad text or images and know where they will run; otherwise run the playbook for the job (e.g. make-static-ads, make-content, email-lifecycle).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

gooseworks-ai/goose-skills1.3천2026년 10월 24일 업데이트

ad-to-landing-page-auditor

무료

Analyze the message match between your ads and landing pages. Checks if the promise in the ad copy carries through to the landing page headline, body, and CTA. Flags disconnects that kill conversion rates. Works with Google, Meta, and LinkedIn ads.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

gooseworks-ai/goose-skills1.3천2026년 10월 24일 업데이트

gooseworks-ai의 스킬 모두 보기

이 스킬의 문제 신고

설치

명령으로 설치

npx skills add https://github.com/gooseworks-ai/goose-skills --skill data-charts-tako

터미널에 붙여 넣고 실행합니다(Node.js 필요). Claude Code, Codex 등 설치할 에이전트를 고를 수 있습니다.

에이전트에게 부탁하기

다음 Agent Skill을 설치해 주세요.
https://github.com/gooseworks-ai/goose-skills/tree/main/skills/design/capabilities/data-charts-tako

먼저 SKILL.md와 첨부 파일의 내용을 확인해 수상한 처리(외부 전송, 인증 정보 읽기 등)가 없는지 확인한 뒤 Claude Code는 ~/.claude/skills/data-charts-tako/, Codex는 ~/.agents/skills/data-charts-tako/ 에 배치해 주세요.

이 문장을 그대로 Claude Code나 Codex에 보내면 내용을 확인한 뒤 설치해 줍니다.

GitHub에서 소스 보기

저장소: gooseworks-ai/goose-skills
스타: 1,264
포크: 219
카테고리: 데이터·AI
라이선스: MIT
원문 언어: 영어
최종 업데이트: 2026년 10월 24일

스킬은 에이전트를 위한 지시와 스크립트의 묶음입니다. cccskills는 내용의 안전성을 보증하지 않습니다. 설치하기 전에 내용을 확인하세요.

포함된 파일(2)

SKILL.md(원문)

Tako Knowledge Search & Visualization

Setup

When to Use

Usage

Search for Data

Get Chart Insights

Visualize Your Own Data

Create a Custom Chart

List Available Chart Types

Get Tako Tool Descriptions

Parameters

Knowledge Search (POST /v1/knowledge_search)

Chart Insights (GET /v1/beta/chart_insights)

Visualize Datasets (POST /v1/beta/visualize)

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

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

Tool Descriptions (GET /v1/tako_tools_description)

Response

Knowledge Search — data.outputs.knowledge_cards[]

Chart Insights — data

Create Card — data

Examples

Tips

Error Handling

리뷰

댓글

같은 저장소의 스킬

ad-angle-miner

ad-campaign-analyzer

ad-lead-quality-analyzer

ad-management-intake

ad-policy-check

ad-to-landing-page-auditor

Knowledge Search — `data.outputs.knowledge_cards[]`

Chart Insights — `data`

Create Card — `data`