delphi-uses-graph

name

delphi-uses-graph

description

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.

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

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)

File	Purpose
dependencies.json	Raw graph: { unit: { defined_in, interface_uses, implementation_uses } }
uses-graph.mmd	Mermaid graph LR ready to embed in a markdown answer
uses-graph.dot	Graphviz DOT source
uses-graph.svg	SVG rendering — only when the dot binary is available on PATH
report.md	Human-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.