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Json Render Table

Render compact generic data tables to PNG images with json-render-cli. Use when users ask to visualize arbitrary structured rows/columns (non-ticket-specific...

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版本0.2.0
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name: json-render-table description: Render compact generic data tables to PNG images with json-render-cli. Use when users ask to visualize arbitrary structured rows/columns (non-ticket-specific) as clean table screenshots with controllable layout. user-invocable: false

JSON Render Table

Overview

Render generic structured data into compact table images using json-render-cli components (Column, Row, Container, Text, Badge). Use this skill for non-ticket table use cases.

Workflow

  1. Ensure json-render is available. If missing, run npm i -g json-render-cli; if Chromium is missing, run npx playwright install chromium.
  2. Define target columns and row schema for the current dataset.
  3. Generate message JSON in memory from the table template.
  4. Pass config via process substitution (-c <(...)) to avoid temporary config files.
  5. Set screenshot.fullPage=true when row count or line wrapping is variable.
  6. Tune viewport width/height to the current content footprint before final render, and avoid oversized fixed --size.
  7. Render PNG and return output path (or Base64 only when explicitly requested).
  8. Theme mode is configured with theme.mode; use system by default, or force light / dark when needed.

Agent Coordination

  • Prefer rendering in the current (main) agent when the image must be delivered in the same turn.
  • Delegate rendering to a sub-agent only when output-path handoff is explicit and deterministic.
  • Keep rendered PNG files intact in sub-agent execution; do not delete or move them there.
  • Perform garbage collection only in the main agent, and only after delivery succeeds.

Model Routing

  • If the current assistant model is high-cost (for example, Opus-class), route simple deterministic rendering to a lower-cost fast model (for example, gemini3flash) only when Agent Coordination rules can be enforced; otherwise render in the current main agent.

Use Case Selection

  • Generic table: use references/compact-table-template.md.
  • Ticket-focused table: use json-render-ticket-table.
  • Information cards (KPI/compare/summary): use json-render-info-cards.
  • Announcement/hero cards: use json-render-announcement-cards.
  • Flow/timeline summaries: use json-render-flow-summary.

Build And Render

Use references/compact-table-template.md. Treat the included template as an executable starter and customize columns and widths per dataset.

Default style:

  • No title area
  • Compact header + body
  • Edge-to-edge screenshot
  • Stable column widths
  • Bottom rows remain visible (screenshot.fullPage=true)

Layout Rules

  • Define columns with Row + Container and explicit widths.
  • Keep spacing compact and deterministic.
  • Use Badge only for categorical status-like fields.
  • Resize the widest column first when content overflows.
  • Keep viewport width close to the sum of column widths and avoid large horizontal slack.
  • Start from a compact viewport height and expand only when clipping appears.

Output Rules

  • Prefer -o /tmp/<name>.png for image delivery.
  • Use -o stdout only when caller explicitly asks for Base64.
  • Avoid temporary JSON files unless explicitly requested.
  • If a sub-agent renders the PNG, return path only and skip cleanup in that sub-agent.
  • Run final PNG cleanup only in the main agent after image delivery.

Troubleshooting

  • If Chromium is missing, run: npx playwright install chromium.
  • If rendering is too wide, reduce wide columns or font size.
  • If left/right whitespace is too large, decrease viewport width or topic column width and rerender.
  • If top/bottom whitespace is too large, decrease viewport height and rerender.
  • If bottom rows are clipped, enable screenshot.fullPage=true.

如何使用「Json Render Table」?

  1. 打开小龙虾AI(Web 或 iOS App)
  2. 点击上方「立即使用」按钮,或在对话框中输入任务描述
  3. 小龙虾AI 会自动匹配并调用「Json Render Table」技能完成任务
  4. 结果即时呈现,支持继续对话优化

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