fireworks-tech-graph
by yizhiyanhua-aifireworks-tech-graph is a diagramming skill for turning system descriptions into production-ready SVG and PNG diagrams. It includes install guidance, helper scripts, validation, templates, and style references for technical diagrams, architecture flowcharts, sequence views, and related visual workflows.
This skill scores 84/100, which means it is a solid listing candidate for Agent Skills Finder. Directory users can reasonably expect a real, reusable diagram workflow with clear triggers, helper scripts, and export steps, though they should still verify fit for their exact diagram style and environment.
- Explicit trigger coverage for diagram requests in English and Chinese, making it easy for agents to activate correctly.
- Strong operational scaffolding: install command in SKILL.md plus helper scripts for SVG validation, template generation, and PNG export.
- Substantial workflow depth and examples: 7 visual styles, 14 diagram types, fixtures, references, and sample assets support concrete execution.
- The skill is specialized for technical diagrams and may be less useful for non-diagram creative graphics or general-purpose visual design.
- README and SKILL metadata are strong, but users still need the local toolchain such as rsvg-convert and script execution access to realize the full workflow.
Overview of fireworks-tech-graph skill
What fireworks-tech-graph does
fireworks-tech-graph is a diagramming skill for turning system descriptions into production-ready SVG diagrams and PNG exports. It is best for users who need fireworks-tech-graph for Diagramming when the output has to be readable, shareable, and styled consistently, not just “good enough” from a generic prompt.
Who should install it
Install the fireworks-tech-graph skill if you regularly make architecture, flow, sequence, agent, memory, or concept diagrams and want a repeatable workflow. It is especially useful for AI/agent builders, technical writers, and developers who need a diagram from a rough system description without hand-drawing shapes.
What makes it different
The repo is not only a prompt wrapper. It includes install guidance, helper scripts, validation, starter templates, style references, and example fixtures. That means the fireworks-tech-graph skill is more than a one-shot prompt: it gives you a diagram workflow with export, validation, and style control.
When it is a good fit
Choose it when you care about SVG quality, PNG export, and visual consistency across diagrams. It fits best if your input can be expressed as entities, relationships, stages, or lanes. It is less useful if you only want a rough sketch or a purely illustrative graphic with no technical structure.
How to Use fireworks-tech-graph skill
Install fireworks-tech-graph
The fireworks-tech-graph install path is straightforward:
npx skills add yizhiyanhua-ai/fireworks-tech-graph
Use the update form only when you need to refresh an existing install:
npx skills add yizhiyanhua-ai/fireworks-tech-graph --force -g -y
Do not pass the npm package name to skills add; the skill expects the GitHub repo source.
Start with the right files
For a practical fireworks-tech-graph guide, read SKILL.md first, then scripts/README.md, references/style-diagram-matrix.md, and the style-specific reference closest to your target output. If you need a fast path, inspect templates/architecture.svg or templates/agent-architecture.svg plus one matching fixture in fixtures/.
Give the skill diagram-ready input
The best fireworks-tech-graph usage starts with a compact spec, not a vague ask. Include: diagram type, audience, main nodes, key relationships, style preference, and export needs. Strong input looks like: “Create a style 7 API integration flow with client, SDK, model runtime, tool calls, and delivery. Export SVG and PNG. Keep labels short.”
Use the helper scripts for output quality
If you want stable results, use the helper scripts instead of hand-editing exports. scripts/generate-from-template.py is useful when you need a starter SVG from a known template. scripts/generate-diagram.sh is useful when you already have SVG and want validation plus PNG export. This matters because the skill is optimized for final artifacts, not only concept generation.
fireworks-tech-graph skill FAQ
Is fireworks-tech-graph only for AI diagrams?
No. The fireworks-tech-graph skill is strongest for AI and agent patterns, but it also supports general technical diagrams like architecture, flowcharts, sequence diagrams, and UML-style structures. If your topic is a system relationship, it likely fits.
Do I need design skills to use it well?
No, but you do need to describe structure clearly. The fireworks-tech-graph skill works best when you can name components, group them, and say how data or control moves between them. If your prompt is only “make it nice,” output quality will be inconsistent.
How is this different from a normal prompt?
A normal prompt may produce a diagram concept. fireworks-tech-graph is built around a repeatable diagram workflow with templates, styles, references, and export scripts. That makes it better when you need usable SVG+PNG files rather than just an image description.
When should I not use it?
Do not use fireworks-tech-graph when you want a marketing illustration, a non-technical infographic, or a heavily artistic composition. It is also a poor fit if the source material is too ambiguous to map into nodes and edges.
How to Improve fireworks-tech-graph skill
Provide structure before style
The biggest quality jump comes from giving the skill a clear diagram model: actors, layers, stages, tools, storage, and arrows. For fireworks-tech-graph usage, “backend, database, queue, worker” is much better than “my app architecture.” Better structure reduces layout mistakes and vague labels.
Choose the right style reference
Use the repo’s style references to constrain the visual outcome. If you want a blueprint, dark terminal, or clean OpenAI-like look, say so explicitly and pair it with a matching sample or style number. This helps the fireworks-tech-graph skill avoid mixing incompatible visual patterns.
Watch for common failure modes
The most common problems are overcrowded labels, too many nodes, and unclear directionality. If your first output is messy, simplify the system into one diagram per intent, shorten labels, and state which components must be emphasized. The fireworks-tech-graph guide works best when you iterate from a narrower spec.
Iterate with export-minded feedback
After the first diagram, give feedback in terms the skill can act on: “move the database lower,” “merge the two auth boxes,” “use darker contrast,” or “make arrows left-to-right.” That is more useful than “make it cleaner.” It helps the fireworks-tech-graph skill produce a second pass that is closer to publishable SVG+PNG.