fireworks-tech-graph

tisfeng/Easydict · Agent Skill

生成精確的SVG技術圖表,匯出為PNG或HTML,並將語義SVG動畫化為GIF。適用於架構、UML、代理和工作流程圖。

前往安裝 ↓

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發布者tisfeng社群
儲存庫tisfeng/Easydict ↗
技能資料夾fireworks-tech-graph
星14,567
附帶檔案8
授權GPL-3.0
最近更新2026年9月7日
連結技能原始碼 ↗ · 儲存庫 ↗

Mozgi 檢查

我們在技能檔案中發現的內容。詳細資訊需訂閱。

安全性
低風險 · 未發現明顯風險 — 完整報告會顯示細節
相容性
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安裝

技能就是一個含 SKILL.md 的資料夾。選擇你的代理,在專案根目錄的終端機(macOS、Linux 或 Windows 的 Git Bash)執行指令。

把提示貼到 Claude、Codex 或其他助理:它會自行檢查並安裝技能。

Install the “fireworks-tech-graph” skill from mozgi.io (https://mozgi.io/skills/fireworks-tech-graph/) for me.

1. Download the archive: https://mozgi.io/skills/fireworks-tech-graph/download
   If it fails, take the skill folder from the source: https://github.com/tisfeng/Easydict/tree/dev/.agents/skills/fireworks-tech-graph
2. Read SKILL.md and the other files. Check the skill is safe: no hidden commands, no sending data elsewhere, no scripts doing something other than described. If anything looks suspicious, stop and tell me.
3. Put the “fireworks-tech-graph” folder into your agent's skills folder: .claude/skills/ for Claude Code, .agents/skills/ for Codex, .cursor/skills/ for Cursor, .gemini/skills/ for Gemini CLI. Inside the project if we are in one, otherwise in the home folder (~/.claude/skills/ etc.).
4. Make sure <skills folder>/fireworks-tech-graph/SKILL.md exists.
5. Briefly tell me what this skill does and offer to try it on my task.

If you cannot do a step yourself, tell me what to click or type.

技能檔案

8 個檔案 下載 ZIP

安裝前請先檢視 SKILL.md 與相關檔案。點擊檔案即可預覽。

SKILL.md 內容

作者原文 · 唯讀

Fireworks Tech Graph

One portable Agent Skill for Codex and Claude Code. SVG is the canonical artifact;

PNG, offline HTML and supported GIF motion are output routes. Preserve requested

labels, topology and meaning; a successful command is not a visual quality verdict.

Locate and select

Resolve the directory containing this file as SKILL_ROOT. Use

${CLAUDE_SKILL_DIR} in Claude Code or the absolute directory in Codex's loaded

skill metadata. Do not assume cwd or a previous shell variable persists.

Use the installed version for the task. Run version for source/version questions

and doctor when diagnosing a missing renderer, font or dependency; do not make

installation, updates or a complete test suite prerequisites for every diagram.

SKILL_ROOT="${CLAUDE_SKILL_DIR:-/absolute/path/from-codex-skill-metadata}"
python3 "$SKILL_ROOT/scripts/fireworks.py" version
  • Honor the user's diagram type, content and style; choose sensible reversible

details from the brief. Ask only for a material missing engineering fact or

a choice the user explicitly reserved. A request to draw includes local rendering.

  • Styles 1–7 and 9–12 have JSON generators. Style 8 (Dark Luxury) remains

AI-authored SVG: use its style reference, then the same validation/export gates.

  • Default to Style 1 Flat Icon when no user/workspace preference applies. Load the

actual matching file from the style matrix ↗.

Read other styles only for a requested comparison.

  • Styles 9–12 default to C4, cloud, event and observability semantic contracts.

Validate facts before layout; do not invent responsibilities, protocols or metrics.

  • Adapt an existing valid SVG directly when appropriate. JSON generation is not

required for every edit. Use diagram/layout guidance ↗

and icons ↗ only for the relevant type or symbols.

Generate and check

Reuse the user's current brief and artifact; an extra planning document is optional.

For JSON work, select text_policy: "strict" when all labels must be visible exactly.

The compatible report default preserves full labels in SVG metadata and reports

any visible truncation. Resolve that warning before claiming complete exact text.

For polished work apply the composition contract ↗.

SKILL_ROOT="${CLAUDE_SKILL_DIR:-/absolute/path/from-codex-skill-metadata}"
python3 "$SKILL_ROOT/scripts/fireworks.py" validate architecture input.json
python3 "$SKILL_ROOT/scripts/fireworks.py" render architecture input.json diagram.svg --report layout.json
python3 "$SKILL_ROOT/scripts/fireworks.py" check diagram.svg
python3 "$SKILL_ROOT/scripts/fireworks.py" export-png diagram.svg diagram.png --width 1920

check validates SVG identity, marker references, generic collisions, semantic

geometry and composition. Inspect the report's typography and palette scope;

heuristic text widths do not replace inspecting the actual rendered font.

Use visual quality guidance ↗ for readability and

style-specific refinements. Keep one semantic connector per business edge.

Additional outputs

  • PNG: prefer export-png, which reads root canvas dimensions, limits output

size, writes atomically and reads the PNG dimensions back. Alternate renderer

details are in PNG export ↗.

  • HTML: fireworks.py export-html diagram.svg diagram.html. One sanitized

offline file provides pan/zoom, source copy and static image downloads.

  • GIF: “Generate a GIF”, “Animate this diagram”, “生成 GIF”, “制作 GIF” and

“让这张图动起来” select the existing semantic SVG's motion route. Styles 1–12 are enabled

for the documented scene contracts; arbitrary same-style topologies are not

promised. Load motion effects ↗ and run

fireworks.py animate diagram.svg diagram.gif. Default is 960px, 20fps, 5.75s

with the +2s-settled-flow preset and a .motion.json report. Historical

user-approved fields describe maintainer-reviewed presets, not authorization

from the current user to publish, spend or send data.

Verify the requested outcome

Inspect the final PNG at intended reading size when image viewing is available:

check text completeness, contrast, font substitution, hierarchy, spacing, clipping,

arrow direction, crossings and labels. Preserve style palette and material while

fixing defects. Reuse an unchanged reviewed render; do not keep adding tests or

polish after acceptance passes. If viewing is unavailable, explicitly mark the

visual check skipped and do not claim visual correctness.

After a failed check, use its element IDs and geometry to make a focused repair;

change the approach after two unchanged failures. Widen/split an overfull diagram

instead of hiding required copy or endlessly shrinking type. Do not silently

weaken semantic or composition constraints to obtain a pass.

Complete every requested local output and its applicable checks, then report file

paths, dimensions, visual review and residual limitations. A first SVG does not

complete a requested PNG/GIF/HTML package. Publication or remote delivery requires

its own scope-matching authorization; existing authorization is not requested twice.

常見問題

fireworks-tech-graph 技能有什麼用途?

生成精確的SVG技術圖表,匯出為PNG或HTML,並將語義SVG動畫化為GIF。適用於架構、UML、代理和工作流程圖。

如何安裝 fireworks-tech-graph?

打開本頁的「安裝」區塊並選擇你的代理 — Claude Code、Codex、Cursor 或 Gemini CLI:那裡有把技能資料夾複製到正確位置的現成指令。也可以複製「透過助理」分頁中的提示,讓助理自行檢查並安裝技能。

fireworks-tech-graph 適用哪些 AI 模型?

技能是純 Markdown 指示(Agent Skills 格式),因此 fireworks-tech-graph 適用任何讀取 SKILL.md 的代理:Claude Code、Codex、Cursor、Gemini CLI、GitHub Copilot、OpenCode 等。只有在任務符合技能描述時,模型才會載入指示。

fireworks-tech-graph 是免費的嗎?

此技能由 tisfeng 公開發布,採用 GPL-3.0 授權。技能本身免費 — 你只需向 AI 供應商支付實際使用的 token 費用。

安裝技能安全嗎?

技能是代理會遵循的指示,安裝前請閱讀 SKILL.md 及相關檔案。技能資料夾中的腳本只有在代理執行時才會運行 — 留意它的動作,不要授予多餘權限。

技能和 MCP 伺服器或外掛有何不同?

MCP 伺服器或外掛為模型提供新工具 — 會執行並回傳結果的程式碼。技能提供的是知識與流程:如何處理任務、要遵循哪些步驟、好的成果長什麼樣子。它不需要伺服器或 API 金鑰。

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