Delphi Uses Graph logo

Delphi Uses Graph

Community
MaxiDonkey
delphi-uses-graph

Analyzes a Delphi / Object Pascal codebase to extract unit-level `uses` dependencies. Use when the user uploads a zip / archive of a Delphi project (or a folder of .pas / .dpr / .dpk files) and asks for a dependency graph, architecture map, cycle detection, fan-in / fan-out coupling analysis, or wants to know how units relate. Produces a Mermaid diagram, a Graphviz DOT file, an SVG when graphviz is available, a JSON dump of the parsed graph, and a markdown report listing cycles, hotspots and orphan units.

Overview

PublisherMaxiDonkey
RepositoryDelphiAnthropic
Skill namedelphi-uses-graph
Stars
61
Forks
13
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

    Published by MaxiDonkey on GitHub. Read the source before you install it.

Installation

Install the Delphi Uses 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.
    https://github.com/MaxiDonkey/DelphiAnthropic/tree/main/demos/bin32/VCL_Anthropic/delphi-uses-graph
  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/MaxiDonkey/DelphiAnthropic.git /tmp/DelphiAnthropic
mkdir -p .claude/skills
cp -r /tmp/DelphiAnthropic/demos/bin32/VCL_Anthropic/delphi-uses-graph .claude/skills/delphi-uses-graph
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Delphi Uses 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 Delphi Uses 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 Delphi Uses 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.

Delphi uses-graph skill

This skill builds a directed graph of uses dependencies between Delphi / Object Pascal units, computes coupling metrics, and detects circular dependencies.

When to use this skill

  • The user uploads an archive (.zip, .tar, .tar.gz) containing a Delphi project, or a folder of .pas / .dpr / .dpk sources, and asks for an architecture map or a dependency graph.
  • The user asks "which unit depends on what?", "are there cycles?", "what's the fan-in / fan-out?" against a Delphi codebase.
  • The user wants a visual artifact (Mermaid embed, SVG, DOT) summarizing unit-level coupling.

Do not use this skill for non-Pascal codebases.

Inputs

The skill expects exactly one of:

  1. A .zip / .tar / .tar.gz archive of a Delphi project (preferred).
  2. A directory already containing .pas, .dpr, .dpk files.

If the user pastes raw Pascal source instead, persist it to one or more temporary .pas files first, then point --input at their parent directory.

Workflow

  1. Locate the input archive or directory in the working area.
  2. Run scripts/tool.py with --input pointing at it and --output pointing at a fresh subfolder of the working area.
  3. Read the generated report.md and summarize findings to the user: number of parsed units, top fan-in / fan-out, cycles, orphan units.
  4. Attach the produced artifacts (Mermaid, DOT, SVG when present, JSON, report) to the response. Embed uses-graph.mmd inline in the answer so the user sees the diagram rendered.

Quick start

bash
python scripts/tool.py \
    --input  /path/to/project.zip \
    --output /path/to/out

Useful flags (full list in reference.md):

  • --scope {all,interface,implementation} — which uses sections to consider. Default all.
  • --ignore-prefix LIST — drop edges whose target starts with one of these comma-separated prefixes, case-insensitive. Default System,Winapi,Vcl,FMX,Data,Web,REST,IdGlobal. Pass "" to keep RTL/VCL.
  • --max-label N — truncate node labels in the Mermaid output (default 40).
  • --include-orphans — keep units that have no inbound and no outbound edges in the graph.

Outputs (in --output)

FilePurpose
dependencies.jsonRaw graph: { unit: { defined_in, interface_uses, implementation_uses } }
uses-graph.mmdMermaid graph LR ready to embed in a markdown answer
uses-graph.dotGraphviz DOT source
uses-graph.svgSVG rendering — only when the dot binary is available on PATH
report.mdHuman-readable summary: counts, top hotspots, cycles, orphans

Notes

  • RTL / VCL / FMX targets are filtered by default to keep the diagram readable. The user's own units are never filtered.
  • Cycle detection uses Tarjan's strongly connected components on the directed graph (edge A -> B means A uses B). Self-loops are reported separately.
  • Pascal uses syntax has several edge cases (dotted names, in '<path>' aliases, conditional defines, three comment styles). Read reference.md before changing the parser.

Bundled files

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

Frequently asked questions

What does the Delphi Uses Graph AI skill do?

Analyzes a Delphi / Object Pascal codebase to extract unit-level `uses` dependencies. Use when the user uploads a zip / archive of a Delphi project (or a folder of .pas / .dpr / .dpk files) and asks for a dependency graph, architecture map, cycle detection, fan-in / fan-out coupling analysis, or wants to know how units relate. Produces a Mermaid diagram, a Graphviz DOT file, an SVG when graphviz is available, a JSON dump of the parsed graph, and a markdown report listing cycles, hotspots and orphan units.

Why use Delphi Uses Graph on TypingMind?

Because you install it once and use it with any model. Delphi Uses 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 Delphi Uses Graph in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MaxiDonkey/DelphiAnthropic/tree/main/demos/bin32/VCL_Anthropic/delphi-uses-graph. 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 Delphi Uses 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 Delphi Uses Graph?

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

Is the Delphi Uses Graph AI skill free?

Yes. It is published on GitHub by MaxiDonkey 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇