graphviz
by markdown-viewergraphviz is a DOT-based diagramming skill for creating automatically laid out directed and undirected graphs. Use it for dependency trees, call graphs, package hierarchies, ownership maps, and other graphviz for Diagramming use cases where readable structure matters more than manual positioning. It helps agents produce valid DOT with fewer render errors.
This skill scores 82/100, which means it is a solid listing candidate for directory users. It clearly tells agents when to use Graphviz, what syntax fence to trigger (`dot`), and includes practical syntax rules and reference material that reduce guesswork compared with a generic prompt.
- Strong triggerability: the frontmatter description explicitly says when to use Graphviz and when not to use it.
- Operational clarity: the SKILL.md gives a quick start plus critical syntax rules for clusters, IDs with spaces, and edge syntax.
- Good support for execution: a dedicated references/syntax.md file covers advanced node, edge, and style syntax.
- No install command or automation hooks are provided, so adoption still depends on users discovering the skill file manually.
- The workflow is syntax-focused rather than end-to-end; it helps with DOT generation, but not with broader diagram design or validation workflows.
Overview of graphviz skill
What graphviz is for
graphviz is a DOT-based diagramming skill for turning structured relationships into automatically laid out graphs. It is best when you need diagrams that stay readable as they grow: dependency trees, call graphs, package hierarchies, ownership maps, and other graphviz for Diagramming use cases where manual positioning becomes a bottleneck.
Who should use it
Use the graphviz skill if you already have relationships in your head or in text and want the model to produce valid DOT quickly. It is a strong fit for developers, technical writers, architects, and agents that need a graphviz guide for converting rough structure into renderable syntax.
What makes it different
The main value is syntax reliability, not just “drawing diagrams.” The skill emphasizes Graphviz-specific constraints like digraph vs graph, -> vs --, cluster naming, and quoting IDs with spaces. That matters because most failures are not design failures; they are render failures.
When graphviz is a poor fit
Do not use graphviz for dashboard-style charts, icon-based network topology, or presentation graphics that require heavy visual branding. If you need tabular charts or plots, another tool is a better match. If you need hierarchical relationships with automated layout and explicit edges, graphviz is usually the right choice.
How to Use graphviz skill
Install and inspect the right files
Install the graphviz skill in your skills directory first, then read the skill body and the syntax reference before drafting a diagram. The most useful file paths in this repo are SKILL.md and references/syntax.md; those are the fastest way to understand the actual graphviz install expectations and the syntax that tends to break in practice.
Turn a vague goal into DOT-ready input
A weak request like “make an architecture diagram” is not enough. A stronger request includes graph type, nodes, edge direction, and any layout constraints. For example: “Create a digraph showing frontend, API gateway, services, and database. Use top-to-bottom flow, cluster the services, label the gateway-to-service edges, and keep node names quoted only when needed.”
Start from a minimal graph
Build the smallest valid graph first: choose digraph or graph, define the core nodes, connect them with the right edge operator, then add attributes only after the structure renders correctly. This avoids the most common graphviz usage problem: styling a broken graph.
Read syntax rules before adding complexity
Before adding clusters, record nodes, or edge labels, review the syntax reference for node IDs, cluster names, edge attributes, and layout controls. Graphviz errors are often caused by one invalid token, so a quick pass through the syntax rules usually saves more time than trial-and-error.
graphviz skill FAQ
Is graphviz better than a generic prompt?
Yes, when the output must be valid DOT and render reliably. A generic prompt may describe the diagram well but still miss graphviz syntax details. The graphviz skill is better for users who care about installation-oriented correctness, not just a rough explanation.
What kind of diagrams work best?
It works best for hierarchical or relationship-heavy diagrams: dependency trees, call flows, package maps, decision trees, and ownership structures. If the layout needs to be automatic and the edges need to communicate direction clearly, graphviz is a strong choice.
Do beginners need prior DOT knowledge?
No, but they do need a clear target. Beginners usually succeed if they specify the entities, the relationships between them, and whether the diagram should be directed or undirected. The skill can handle the syntax, but it cannot infer your domain model from a vague request.
When should I not use graphviz?
Avoid it when the diagram depends on pixel-perfect placement, visual icons, or chart-like presentation. Also avoid it if your request is really about data visualization rather than relationship mapping. In those cases, graphviz is the wrong tool even if it can technically produce a picture.
How to Improve graphviz skill
Give the graph the right structure up front
The best way to improve graphviz results is to provide a clean inventory of nodes and edges. State the core objects, which ones are grouped together, and whether relationships are one-way or mutual. This reduces ambiguity and improves the first render.
Specify layout constraints that matter
If your diagram must read top-down, left-right, or grouped by subsystem, say so explicitly. Mention cluster boundaries, whether cross-cluster edges should be minimized, and whether any nodes need to stay visually central. Those details matter more than styling preferences in most graphviz usage.
Avoid the common syntax traps
The most common failures are mismatched graph type and edge syntax, unquoted node IDs with spaces, and cluster names that do not start with cluster_. If the first output is wrong, check these before asking for redesigns. Many graphviz install issues are really syntax issues.
Iterate by asking for one correction at a time
If the first output is structurally correct but visually weak, iterate on one dimension: labels, cluster boundaries, edge labels, or rank direction. That produces cleaner results than asking for “make it nicer,” and it helps the model preserve the valid DOT it already generated.
