Router Reverse Skill Router Diagram Generator

Diagram Generator

ACTION REQUIRED (execute immediately after reading)

1. NOW: Confirm whether the current task falls within this skill's scope
2. NOW: Read ../tool-index.md, validate tool availability and actual paths
3. NEXT: If tools are missing, invoke bootstrap — do not guess paths
4. ACT: Enter step one of the "Workflow" and execute; do not stop at a confirmation state

Purpose

Create clear, editable diagrams from messy or structured inputs. Prefer text-based diagram source first so the result can be reviewed, versioned, and refined. Render to files only when the user asks for an image/PDF or when a downloadable artifact would materially help.

Default workflow

1. Identify the user's intent, audience, and source material.
2. Choose the diagram family and language using the decision table below.
3. Normalize entities, relationships, labels, states, branches, and time/order information before writing diagram code.
4. Generate concise, readable diagram source.
5. Validate the syntax mentally and, when creating files, run scripts/render_diagram.py.
6. Return the diagram source plus a short note about assumptions. When files are generated, include links to the output files.

Do not over-ask for clarification. If the request is underspecified, make reasonable assumptions and label them briefly.

Diagram language decision table

Use Mermaid unless another language is clearly better.

Output policy

• Always provide editable source unless the user explicitly asks only for an image.
• Default to a single best diagram. Offer alternatives only when genuinely useful.
• Prefer stable, simple syntax over fancy features that may not render in older Mermaid/PlantUML versions.
• Use short labels. Split long text into notes outside the diagram when needed.
• Avoid ambiguous node IDs. Use ASCII IDs and human-readable labels.
• Preserve user terminology, but standardize capitalization within a diagram.
• For technical diagrams, include boundaries such as client, service, database, queue, external API, and operator/user when they are implied.
• For business-process diagrams, distinguish happy path, decision points, failures, retries, and manual steps when present.
• For diagrams created from uncertain text, include an Assumptions section after the code.

Mermaid generation rules

Consult references/diagram-patterns.md for compact templates.

General Mermaid rules:

• Start with the correct diagram directive, for example flowchart TD, sequenceDiagram, erDiagram, gantt, mindmap, or journey.
• For flowcharts, use flowchart TD unless the user asks for left-to-right; use flowchart LR for architecture and pipelines.
• Use subgraphs for swimlanes or architecture layers. Name subgraphs with readable labels.
• Keep node IDs stable and ASCII-only, for example ingest_service[Ingest Service].
• Quote labels that contain punctuation likely to confuse the parser.
• Use decision diamonds for branching: decision{Condition?}.
• Use consistent edge labels: -- yes -->, -- no -->, -. async .->, or == critical ==> only when meaningful.
• In sequence diagrams, declare participants before messages. Use actor for humans and participant for systems.
• Use alt/else/end, opt/end, loop/end, and par/and/end blocks for conditional, optional, repeated, and parallel flows.

Graphviz DOT generation rules

Use Graphviz for large, dense, or layout-sensitive relationship diagrams.

• Prefer digraph G for directed relationships and graph G for undirected networks.
• Set layout-friendly graph attributes at the top: rankdir=LR, nodesep, ranksep, and splines=true when helpful.
• Use subgraph cluster_name for boundaries and subsystems.
• Use plain labels and restrained styling.
• Use edge labels only when they add meaning.
• For many nodes, group by domain with clusters and avoid crossing-heavy all-to-all edges.

PlantUML generation rules

Use PlantUML when the user asks for UML or needs formal UML notation.

• Wrap diagrams with @startuml and @enduml.
• Use actor, participant, database, queue, collections, or component stereotypes when useful.
• Use package, rectangle, or node for architecture boundaries.
• For class diagrams, include only important fields/methods unless the user asks for exhaustive detail.
• For activity diagrams, use clear start/end markers and explicit branch labels.

SVG generation rules

Use SVG only when text diagram languages cannot express the requested visual reliably.

• Keep SVG simple, accessible, and editable.
• Include <title> and meaningful text labels.
• Prefer rectangles, lines, arrows, and groups over complex paths.
• Do not embed external fonts or remote images.

Rendering files

When the user asks for PNG/SVG/PDF, create a source file and run:

python "<SKILL_ROOT>/diagram-generator/scripts/render_diagram.py" input.mmd --format svg --out output.svg
python "<SKILL_ROOT>/diagram-generator/scripts/render_diagram.py" input.dot --format png --out output.png
python "<SKILL_ROOT>/diagram-generator/scripts/render_diagram.py" input.puml --format svg --out output.svg

<SKILL_ROOT> is the actual path of this package's skills/ directory; the AI should auto-detect it.

The renderer is intentionally dependency-tolerant. It tries common local tools and reports actionable installation hints if a renderer is unavailable. Do not claim an image was rendered unless the script completed successfully and the output file exists.

Validation checklist

Before finalizing:

• The diagram type matches the user's task.
• The source is syntactically plausible for the chosen language.
• Labels are short enough to fit.
• Edges and message order reflect the input accurately.
• Assumptions are called out when the input was incomplete.
• For generated files, the output exists and opens or has nonzero size.

Common response template

Use this structure for most diagram answers:

Below is the editable [language] version:

```[language]
[source]

Assumptions:

• [only if needed]

Rendered file: [link] [only if generated]

For English user requests, respond in English. For Chinese user requests, respond in Chinese unless they ask otherwise.

---

## On-Demand Bootstrap

### Automation capability boundary

| Tool | Auto-installable | Installation | Notes |
|------|-----------|---------|------|
| Mermaid CLI (mmdc) | ✓ | npm install -g @mermaid-js/mermaid-cli | Renders Mermaid to PNG/SVG |
| Graphviz (dot) | ✗ | manual install | https://graphviz.org/download/ |
| PlantUML | ✗ | requires Java + plantuml.jar | https://plantuml.com/download |
| Python (render script) | ✓ | already in bootstrap | dependency of `scripts/render_diagram.py` |

### Notes

This skill mainly outputs text-format diagram source (Mermaid/DOT/PlantUML) and does not necessarily need local rendering tools. Renderers are only needed when the user explicitly asks for PNG/SVG/PDF file generation.

If a renderer is unavailable, `scripts/render_diagram.py` outputs installation hints instead of raising an error.

---

## Routing Context

**Upstream entry points**: `skills/SKILL.md` (master control), `routing.md`
**Trigger condition**: the user says "draw a diagram", "flowchart", "architecture diagram", "attack path diagram", "sequence diagram", "Mermaid", "Graphviz", "PlantUML"
**Downstream exits**:
- Generated diagrams can be embedded into `docs-generator/` reports
- Attack path diagrams can accompany `pentest-tools/` penetration reports

**Peer related modules**: `docs-generator/` (embed diagrams into reports)


## Task Completion Self-Check (MUST pass before claiming completion)

- [ ] Did I execute every step of the workflow (rather than just reading it)?
- [ ] Did I use real tool paths based on `tool-index`?
- [ ] Did I produce reproducible evidence (commands/scripts/screenshots/reports)?
- [ ] Did I complete and write back the Checklist items required by RULES?