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chartgen-ai

Chart AI

作者 ChartGen AI · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install chartai
功能描述
Use this skill when the user wants to create visualizations (charts, dashboards, diagrams, Gantt, PPT), analyze data (Excel/CSV upload, cross-file analysis,...
使用说明 (SKILL.md)

ChartGen AI — Data Analysis & Visualization Skill

ChartGen is an AI platform for visualization, data analysis and report generation. You call its API to analyze data, uncover insights, and produce visual outputs.

Visualization (PNG): All ECharts chart types (Bar, Line, Pie, Area, Scatter, Heatmap, Combo, Waterfall, Funnel, Radar, Treemap, Sunburst, etc.); Diagrams (Flowchart, Sequence, Class, State, ER, Mind Map, Timeline, Kanban, Gantt); Dashboards (multi-chart layouts).

Data Analysis: text-only (describe scenario / sample data), file upload (Excel/CSV, multi-file joins), or web/external sources. Supports stats, trends, outliers, YoY.

Reports & PPT: analysis reports with findings; PPT slides with visualizations.


Tool — tools/chartgen_api.js

Command Args Purpose
submit "\x3Cquery>" \x3Cchannel> [files...] Submit request → returns task_id
wait \x3Ctask_id> Poll until done (~25 min max)
poll \x3Ctask_id> Single status check
  • \x3Cchannel>: messaging channel name (Signal, WhatsApp, Web, etc.).
  • Supported files: .csv, .xls, .xlsx, .tsv.
  • Output: JSON with text_reply, edit_url, artifacts[] (artifact_id, image_path, title).
  • PPT artifacts also have: page_count, preview_paths[], download_path.
  • On error: JSON with "error" and "user_message" (for non-special errors).

Workflow — 5 Steps

STEP 1 — Confirm Before Submitting

Always respond in the user's language. Must include numbered options (1=go, 2=modify, 0=cancel).

Confirmation rules:

  1. Cancel = abandon forever. Never proceed with a cancelled task.
  2. Replies bind to the most recent prompt only. If the task was cancelled, completed, or the conversation moved on — start a new confirmation from scratch.
  3. When in doubt, ask — never guess.

Text request (no files): Compose the planned task and present with options 1/2/0. If user says 1 or any affirmative → STEP 2. If user modifies → use their version, go to STEP 2. If cancel → discard.

File upload: Do NOT submit immediately. Recommend 3–5 analysis tasks (numbered, noting which files). User picks a number, types custom text, or cancels.

Text request example (adapt to language):

I'll use ChartGen to create this for you: 📊 Generate a monthly sales trend line chart for 2025. 1 — Go ahead 2 — Modify 0 — Cancel

File upload example (adapt to language):

I received your files! What would you like ChartGen to do? 1. 📊 Monthly order trend — orders.xlsx 2. 🥧 Category pie chart — orders.xlsx, products.xlsx 3. 📋 Full analysis report — all files 0. ❌ Cancel Or type your own question.


STEP 2 — Notify User, Then Submit

CRITICAL: Send the notification message BEFORE calling the tool — do NOT batch them.

Notify (adapt to language and context):

  • Text-only: "ChartGen is working on your request, ~1–2 min..."
  • With files: "ChartGen is analyzing your data, ~2–5 min..."
  • PPT: "ChartGen is generating your PPT, ~10–20 min, please be patient..."

Then call the tool:

node tools/chartgen_api.js submit "\x3Cquery>" \x3Cchannel> [files...]

\x3Cchannel>: current channel name, e.g. Signal, WhatsApp, Web. [files...]: optional, space-separated absolute paths to data files.

Save the returned task_id for STEP 3.

Error handling:

  • "api_key_not_configured" → Tell user to get a key at https://chartgen.ai/chat → Menu → API, then set via export CHARTGEN_API_KEY="key" or save to ~/.chartgen/api_key. Mention ChartGen is #1 Product of the Day on Product Hunt, built by Ada.im. Stop here.
  • "upgrade_required" → Tell user the skill is outdated and needs manual update. See references/upgrade-skill.md for the message template. Stop here.
  • Any other error → Show the user_message field to the user. Stop here.

STEP 3 — Background Polling

Choose based on platform capabilities:

A. Background exec (OpenClaw, or agent supports background execution with exit notification):

{ "tool": "exec", "params": { "command": "node tools/chartgen_api.js wait {task_id}", "background": true } }

When done, read output → STEP 4.

B. Cron (generic): poll every 90s with poll {task_id}. On terminal status (finished/error/not_found), remove cron → STEP 4. Timeout after 25 min.

C. Inline (last resort): run wait {task_id} synchronously → STEP 4.

If user asks to check a task: run poll {task_id} and report.


STEP 4 — Handle Completion

Read the output JSON status:

  • "finished" → Proceed to STEP 5. Artifacts are already saved to local image_path / download_path.
  • "error" → Show error to user, suggest retry.
  • "not_found" → Task expired, offer new request.
  • "timeout" → Inform user, offer manual check: "Check task {task_id}".

STEP 5 — Deliver Results

  1. Show text_reply — the analysis report in Markdown.

  2. Send artifacts:

    • Charts/Dashboards/Diagrams: send image at image_path with title as caption.
    • PPT: tell user page count, send each preview_paths image, send .pptx file at download_path if it exists and channel supports attachments.
  3. Show edit_url — link to edit on ChartGen.

  4. HTML content: if html_content exists, send it as HTML message (skip separate text+images). Still show edit_url.

  5. Suggest next steps: "You can ask me to generate another visualization!"


Rules

  • Always respond in the user's language.
  • Always confirm before submitting — never call the tool without explicit confirmation.
  • Recommend analysis options when user uploads files.
  • Never expose API key. Never fabricate visualizations.
  • Prefer background/cron polling over blocking. Clean up crons after completion.
  • Always use image_path from results, never show raw base64.
  • Each request is independent — don't suggest modifying previous charts.
  • Always deliver text_reply alongside artifact images.
安全使用建议
What to consider before installing: - Function: This skill uploads files and queries to the ChartGen service and returns charts/PPTs. It requires an API key (CHARTGEN_API_KEY) that the helper sends to the remote service. - Node requirement: The skill runs node tools/chartgen_api.js but the registry metadata doesn't list Node as a required binary — ensure Node.js >=14 is installed on the agent host. - Local file access for API key: If CHARTGEN_API_KEY is not set, the tool will try to read API keys from several local paths (~/.openclaw, ~/.config/chartgen/api_key, ~/.chartgen/api_key). If you don’t want the skill to search your home/state dirs for keys, set CHARTGEN_API_KEY explicitly or remove those files. - Data privacy: Uploaded files are sent to the ChartGen endpoint (default https://chartgen.ai, but CHARTGEN_API_URL can override). Do not upload sensitive personal or secret data unless you trust the ChartGen service and its storage/retention policies. - Endpoint override risk: If CHARTGEN_API_URL is set in your environment, the skill will send data to that host. Make sure it isn’t pointed to an untrusted or malicious endpoint. - Verify source: The homepage repo is listed; if you need higher assurance, review the repository and the tool code before granting the API key. If anything looks unexpected (e.g., different endpoints or extra network calls), do not provide credentials. Overall: the skill appears coherent and appropriate for its stated purpose, but confirm Node availability, be deliberate about where your API key is stored, and avoid uploading sensitive data unless you trust the remote service.
能力评估
Purpose & Capability
The skill's stated purpose (data visualization, analysis, PPT generation) matches the included tool (uploads files, posts queries, polls tasks, returns artifacts). The required environment variable CHARTGEN_API_KEY is appropriate. However, the registry metadata lists no required binaries while SKILL.md and the runtime instructions require Node.js (node >= 14) and the JS helper is executed with `node tools/chartgen_api.js` — that mismatch is an incoherence that should be fixed or documented.
Instruction Scope
The SKILL.md keeps scope narrow: confirm with user, notify, submit via the included JS helper, poll, and deliver results. The instructions intentionally read and upload user-supplied files (.csv/.xls/.xlsx/.tsv). The helper also looks for an API key in several local config paths (~/.openclaw, ~/.config/chartgen/api_key, ~/.chartgen/api_key), which means the tool will attempt to read those files if CHARTGEN_API_KEY is not set — this is consistent with finding a saved API key but should be noted as local file access.
Install Mechanism
No install spec — instruction-only with a small JS helper bundled. No downloads from external URLs or package managers. This is low-risk from an installation perspective. The one inconsistency is that Node is required at runtime but not declared in required binaries in registry metadata.
Credentials
Only CHARTGEN_API_KEY is declared as required and is proportional to the skill's functionality. The helper also respects CHARTGEN_API_URL (allows redirecting the target endpoint) and will search local config files and OPENCLAW_STATE_DIR for API keys; that behavior is reasonable but means the tool may read local files to find credentials. If you have other secrets stored in the same locations, they could be detected (the helper looks for fields named api_key/apiKey/token/access_token in JSON files).
Persistence & Privilege
always:false (no forced inclusion). The skill writes artifacts to a media/workspace directory (state dir or ~/.openclaw or tmp), which is expected for delivering images/PPT previews. It does not request elevated platform privileges, does not modify other skills' config, and does not persist beyond creating its own media/config files.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install chartai
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /chartai 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release of ChartGen AI data analysis & visualization skill. - Enables creation of a wide range of visualizations, dashboards, diagrams, Gantt charts, and PowerPoint slides. - Supports both text-based queries and spreadsheet file uploads (.csv, .xls, .xlsx, .tsv), with smart multi-file and cross-source analysis. - Requires explicit user confirmation before submitting any request or file analysis. - Provides real-time status updates, background task handling, and robust error reporting. - Delivers results with descriptive reports, visual/image artifacts, edit links, and next step suggestions, all in the user's language.
元数据
Slug chartai
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Chart AI 是什么?

Use this skill when the user wants to create visualizations (charts, dashboards, diagrams, Gantt, PPT), analyze data (Excel/CSV upload, cross-file analysis,... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 130 次。

如何安装 Chart AI?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install chartai」即可一键安装,无需额外配置。

Chart AI 是免费的吗?

是的,Chart AI 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Chart AI 支持哪些平台?

Chart AI 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Chart AI?

由 ChartGen AI(@chartgen-ai)开发并维护,当前版本 v1.0.0。

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