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zentablezentable 表格

Agent Skill

zentable 用于处理图像、截图、视觉识别或图片素材相关工作,适合在 OpenClaw 中需要让 Agent 分析图片、整理视觉素材或辅助图像流程时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

15,255

周安装

629

GitHub Stars

1

下载量

5,082
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:zentable(zentable 表格)
来源仓库:https://github.com/con2000us/zentable
安装命令:
openclaw skills install zentable
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install zentable

简介

结构化表格数据可视化渲染工具,生成高保真PNG截图。

  • 适用于聊天界面、报告图表与社交媒体内容展示需求。
  • 利用Headless Chrome引擎精准还原CSS样式与布局细节。
  • 输入JSON/CSV数据即可自动转换为美观表格图像。
  • 输出分辨率可调,支持透明背景与多列自适应排版。zentable 属于效率类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
zentable
description
Render structured table data as high-quality PNG images using Headless Chrome. Use when: need to visualize tabular data for chat interfaces, reports, or social media. NOT for: simple text tables that don't need visualization.
homepage
https://github.com/con2000us/zenTable
metadata
openclaw
emoji
📊
requires
bins
["python3", "google-chrome"]
allowed-tools
["exec", "read", "write"]

ZenTable Skill

Render structured table data into high-quality PNG images.

TL;DR

ZenTable turns messy table-like content into readable, decision-ready table outputs for both mobile (Discord-first) and desktop.

Accepted inputs

  • text-based content (raw text tables, long agent responses)
  • structured JSON
  • screenshots / real-world photos (via OCR-assisted extraction when needed)

Core capabilities

  • CSS + PIL rendering
  • sorting / filtering / pagination
  • threshold-based highlighting
  • optional PNG + TXT dual output (--both)

Runtime & security note

This skill runs local scripts and depends on local runtime binaries (python3, google-chrome). Review code and dependencies before running in sensitive environments.

Naming convention

  • Canonical code name: zentable (lowercase)
  • UI / brand label: ZenTable
  • zeble* / zenble* are legacy compatibility aliases
  • Reference: NAMING_MIGRATION.md (repository document)

When to use

✅ Use this skill when:

  • You need a visual table image instead of plain text
  • You need polished output for chat/report/social sharing
  • The dataset is large enough that plain text is hard to read
  • You need a specific visual theme (iOS-like, dark, compact, etc.)

❌ Do not use this skill when:

  • The table is tiny and plain text is enough
  • The user explicitly asks for no image output
  • The user needs an editable spreadsheet format (CSV/Excel)

Capability matrix (SkillHub release)

CapabilityStatusNotes
CSS output✅ StablePrimary release path; default minimal_ios_mobile + width=450
PIL output✅ StableSafe fallback when Chrome is unavailable
ASCII output⚠️ Beta / ExperimentalWorks, but alignment can drift cross-platform due to font and whitespace behavior

Known limitations

  • ASCII output is sensitive to platform font fallback and whitespace handling.
  • Create separate calibration profiles per platform; do not share blindly.
  • --both already includes text-theme fallback to default when no text theme exists.
  • Discord plain text collapses repeated normal spaces; Unicode spacing characters may be required for spacing preservation.
  • This beta was validated primarily on Discord; other chat platforms may require agent-side output adaptation (image/message formatting differences).

Zx shorthand policy (project rule)

When user input is Zx, treat it as a strong render intent:

  1. Execute rendering directly by default (no preliminary Q&A).
  2. Default path: CSS + minimal_ios_mobile + width=450.
  3. Ask follow-up only under high uncertainty:

- no usable source data in current/previous context, - intent does not look like table rendering, - critical fields are missing and output would likely be wrong.

  1. If platform supports images, return the image directly (not link-only).

Data source priority for Zx: 1) current message image OCR 2) current message text-to-table 3) previous message image OCR 4) previous message text-to-table

Syntax sugar → canonical mapping

SugarCanonical keyNormalizationFinal renderer args
--width N / --w Nwidthpositive int--width N
--transpose / --cctransposeboolean--transpose
--ttkeep_theme_alphaboolean--tt
--per-page N / --pp Nper_pagepositive int--per-page N
--page ... / --p ...page_specN / A-B / A- / allexpanded by table_renderer.py
--allpage_specequivalent to allexpanded by table_renderer.py
--text-scale V / --ts Vtext_scaleenum/ratio--text-scale V
--sort SPECsort_specsingle/multi-key--sort SPEC
--asc / --descsort_default_dirdefault direction--asc / --desc
--f SPEC / --filter SPECfiltersrepeatable filter--f SPEC
--smart-wrapsmart_wraptrue--smart-wrap
--no-smart-wrap / --noswsmart_wrapfalse--no-smart-wrap
--theme NAME / -t NAMEthemetheme id--theme NAME
--both / --booutput_bothboolean--both
--pin KEYSpin_keyspersist defaults--pin
--pin-resetpin_resetreset pinned defaults--pin-reset

Pinned default baseline:

  • theme=minimal_ios_mobile
  • width=450
  • smart_wrap=true
  • per_page=15

page_spec rules

  • N: page N only
  • A-B: inclusive range A..B
  • A-: from A to last page
  • all: all pages
  • if omitted: default preview pages 1-3

Canonical payload example

{
  "theme": "minimal_ios_mobile",
  "width": 900,
  "transpose": false,
  "keep_theme_alpha": false,
  "per_page": 15,
  "page_spec": "2-",
  "sort_spec": "score:desc,name:asc",
  "sort_default_dir": "asc",
  "filters": ["col:!note,attachment", "row:status!=disabled;score>=60"],
  "text_scale": "auto",
  "smart_wrap": true,
  "output_both": false
}

Command examples

# run from repository root

# basic CSS output
python3 skills/zentable/table_renderer.py - /tmp/out.png --theme minimal_ios_mobile --width 900 --text-scale large --page 1

# transpose + disable smart wrap
python3 skills/zentable/table_renderer.py - /tmp/out.png --theme compact_clean --transpose --no-smart-wrap --page 1

# page range expansion (2-4)
python3 skills/zentable/table_renderer.py - /tmp/out.p2.png --per-page 12 --page 2
python3 skills/zentable/table_renderer.py - /tmp/out.p3.png --per-page 12 --page 3
python3 skills/zentable/table_renderer.py - /tmp/out.p4.png --per-page 12 --page 4

# PNG + ASCII side output
python3 skills/zentable/table_renderer.py - /tmp/out.png --theme mobile_chat --both

Validation checklist (minimum)

  • python3 -m py_compile scripts/zentable_render.py
  • CSS smoke output succeeds
  • PIL smoke output succeeds
  • --pin, --pin-reset, --both verified
  • Golden tests pass when relevant

Release positioning

Current channel: beta. ASCII remains beta/experimental for SkillHub release.

Support / Contact

  • GitHub Issues: https://github.com/con2000us/zenTable/issues
  • Maintainer: @con2000us (Discord)
  • Bug report checklist:

- input type (text / screenshot / photo / json) - expected vs actual output - platform (Discord/mobile/desktop) - command/options used

适合场景

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OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

77.17%
按下载量换算3,922

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

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