Fireworks Tech Graph logo

Fireworks Tech Graph

OrganizationPopular
yizhiyanhua-ai
fireworks-tech-graph

Create precise SVG technical diagrams, export PNG or offline HTML, and animate supported semantic SVGs to GIF. Use for architecture, UML, agent, cloud or workflow diagrams; not photos, raster art or statistical charts.

Overview

Publisheryizhiyanhua-ai
Repositoryfireworks-tech-graph
Skill namefireworks-tech-graph
Stars
11.4K
Forks
904
Bundled files
230
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 230 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by yizhiyanhua-ai on GitHub. Read the source before you install it.

Installation

Install the Fireworks Tech Graph AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/yizhiyanhua-ai/fireworks-tech-graph.git \
  .claude/skills/fireworks-tech-graph
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Fireworks Tech Graph in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Fireworks Tech Graph on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Fireworks Tech Graph is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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.

bash
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.

bash
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.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

and 140 more files.

Frequently asked questions

What does the Fireworks Tech Graph AI skill do?

Create precise SVG technical diagrams, export PNG or offline HTML, and animate supported semantic SVGs to GIF. Use for architecture, UML, agent, cloud or workflow diagrams; not photos, raster art or statistical charts.

Why use Fireworks Tech Graph on TypingMind?

Because you install it once and use it with any model. Fireworks Tech Graph is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Fireworks Tech Graph in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/yizhiyanhua-ai/fireworks-tech-graph/tree/main. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Fireworks Tech Graph?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Fireworks Tech Graph?

As many as you like. As long as a model supports skills, you can use Fireworks Tech Graph with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Fireworks Tech Graph AI skill free?

Yes. It is published on GitHub by yizhiyanhua-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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