fec-image-generation

Generate and validate PNG diagrams from structured YAML frontmatter commands.

21|3|Updated Mar 17, 2026
One-click install
npx skills add https://github.com/bovinphang/frontend-craft --skill fec-image-generation
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fec-image-generation
Source: https://github.com/bovinphang/frontend-craft/tree/main/localized/zh-CN/skills/fec-image-generation
Command: npx skills add https://github.com/bovinphang/frontend-craft --skill fec-image-generation

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

这项技能用于把图表、视觉资产和信息图等可交付物的生成、编辑和自检/修复迭代流程规范化,降低人工迭代成本并提升交付一致性。

Core Features & Use Cases

  • 支持生成海报、信息图、架构图、序列图、数据流等多种视觉资产,并对 PNG 导出进行可复查的自检。
  • 提供结构化源(Mermaid/SVG/HTML/Canvas)与浏览器就绪的单文件技术图(HTML 技术图/Draw.io 替代路线),便于复现和长期维护。
  • 提供交互式实时图表草图服务,支持会话级别的增量协作与导出(PNG/SVG/JSON)。
  • 提供 PNG 质检与自动修复参考,按 manifest 指令对齐输出。

Quick Start

初始化图表工作流并导出第一版 PNG 与 JSON 图表描述。

Frequently Asked Questions about fec-image-generation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate architecture diagrams and export them as PNG files?

To generate architecture diagrams and export PNGs, define structured commands with YAML frontmatter to drive deterministic sources. The workflow validates visual output via manifest-based QA to ensure pixel-perfect handoff.

What is manifest-based QA for diagram generation and when do I need it?

Manifest-based QA for diagram generation aligns exported PNG outputs against reference instructions to ensure pixel-perfect consistency. It is needed when delivering architecture diagrams, data flows, or information graphics that require reliable visual validation.

Can I use SVG and HTML sources to create browser-ready technical diagrams?

Yes, you can use structured sources like SVG, HTML, Canvas, or Mermaid to create browser-ready technical diagrams. These deterministic sources enable reproducible generation and long-term maintenance of single-file visual assets.

How do I validate and auto-fix PNG chart exports during the generation workflow?

To validate and auto-fix PNG chart exports, apply manifest-based QA instructions to align the generated output. The workflow supports iterative self-check and repair references to reduce manual editing costs and maintain visual consistency.

Does this workflow support interactive chart sketching and incremental collaboration?

Yes, the workflow supports interactive real-time chart sketching with session-level incremental collaboration. You can iteratively adjust visual diagrams and export the results in PNG, SVG, or JSON formats.

What are the limitations of using YAML frontmatter-driven workflows for visual asset generation?

YAML frontmatter-driven workflows require structured command inputs for deterministic generation. Limitations arise when attempting unstructured freehand edits, as the manifest-based QA system enforces strict alignment for pixel-perfect PNG exports.