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wangjipeng977

diagram-to-code

by 王继鹏 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install wangjipeng-diagram-to-code
Description
Use when (1) user provides architecture diagram and needs infrastructure as code or component code.
README (SKILL.md)

Diagram To Code

Use when (1) user provides architecture diagram and needs infrastructure as code or component code.

Core Position

This skill solves the specific engineering problem of: user provides architecture diagram and needs infrastructure as code or component code

This skill is NOT:

  • A general-purpose capability that activates on anything
  • A replacement for manual human judgment
  • A tool that stores state or remembers across sessions

This skill IS activated ONLY when the trigger conditions are explicitly met.

Modes

/diagram-to-code

Default mode. Performs the core task end-to-end.

When to use: User provides input matching the trigger conditions above.

Execution Steps

  1. Receive diagram — User pastes an architecture diagram, flowchart, or infrastructure plan

    • Accepted formats: Mermaid, PlantUML, draw.io XML, ASCII art, or a text description
    • If the input is not recognizable as a diagram, state: "This skill converts architecture diagrams to infrastructure as code or component code. Please provide a diagram in Mermaid, PlantUML, or draw.io format."
  2. Parse diagram structure — Identify the diagram elements:

    • Detect nodes (services, components, databases, queues)
    • Identify relationships (arrows, dependencies, data flows)
    • Note labels, annotations, and any numeric values (latency, throughput)
    • Determine the diagram type (architecture, flowchart, sequence, ER)
  3. Map to target code form — Identify the appropriate output:

    • Infrastructure diagrams → Terraform (.tf), Kubernetes YAML, or CloudFormation
    • Flowcharts → state machine code, workflow scripts, or sequence diagrams
    • Component diagrams → code structure (React components, Python classes)
    • Network diagrams → config files or deployment manifests
  4. Generate code — Produce the target format with the diagram's structure:

    • Use correct syntax for the target platform (HCL for Terraform, YAML for K8s)
    • Name resources based on node labels in the diagram
    • Add comments linking each code block back to the diagram element
    • Include realistic defaults for unstated properties
  5. Deliver with validation — Return the code with a diagram-to-code mapping:

    • List each diagram node and the corresponding code resource
    • Note any assumptions made for unlabeled properties
    • If multiple output formats are possible, state which was chosen and why
    • Offer to refine specific components or add missing connections

Mandatory Rules

Do not

  • Do not make up facts or claim actions were taken that were not
  • Do not hardcode API keys — use os.getenv("API_KEY") instead
  • Do not store sensitive user data beyond the current session
  • Do not exceed token budget without warning the user first
  • Do not activate for off-topic requests — return a brief decline message

Do

  • Validate all inputs before acting
  • Handle errors gracefully with actionable error messages
  • Log actions taken for auditability
  • State explicitly when you are uncertain or data is insufficient

Quality Bar

A good output:

  • Solves exactly the problem described in the trigger conditions
  • Provides actionable result in the expected format within 3 turns
  • Handles error cases with specific guidance, not generic "try again"
  • States assumptions explicitly when input is ambiguous

A bad output:

  • Solves a different problem than the one triggered
  • Provides a generic "I can't help with that" without explaining why
  • Crashes, hangs, or returns malformed output on valid input
  • Activates for off-topic requests (false positive)

Good vs. Bad Examples

Scenario Bad Output Good Output
Trigger matched "I can help with that." + no action Correct transformation delivered in structured format
Invalid input Crash or wrong result "Missing required field: [X]. Please provide [Y]."
Ambiguous input Guesses and might be wrong States assumption and asks for confirmation
Off-topic request Attempts to help anyway "This skill activates when [trigger]. Please restate your request."

References

  • references/ — Detailed templates, schemas, and edge-case rules for this skill
Usage Guidance
This version can remain in the normal install path based on the available evidence. As with any skill, users should still review its displayed instructions and only provide credentials or file access that clearly match the task they asked it to perform.
Capability Tags
requires-sensitive-credentials
Capability Assessment
Purpose & Capability
No artifact-backed mismatch or high-impact capability was surfaced in the supplied SkillSpector, VirusTotal, or worker context.
Instruction Scope
SkillSpector reported no prompt-injection, scope-expansion, or unsafe instruction findings for this version.
Install Mechanism
No suspicious install behavior was identified in the supplied telemetry or accessible scan context.
Credentials
No undeclared credential, session, profile, broad local data, or external data-flow concern was reported.
Persistence & Privilege
No persistence, privilege escalation, background worker, or automatic mutation behavior was identified.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install wangjipeng-diagram-to-code
  3. After installation, invoke the skill by name or use /wangjipeng-diagram-to-code
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of "diagram-to-code" skill. - Converts architecture diagrams (Mermaid, PlantUML, draw.io, ASCII, or text-based) into infrastructure as code or component code. - Includes strict activation triggers; only processes requests with clear diagrams. - Returns code in appropriate formats (Terraform, Kubernetes YAML, CloudFormation, workflow scripts, component code) mapped from diagram elements. - Handles validation, clear error messages, and states assumptions when input is ambiguous. - Provides a mapping of diagram nodes to code resources in responses. - Declines off-topic or invalid requests with concise explanations.
Metadata
Slug wangjipeng-diagram-to-code
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is diagram-to-code?

Use when (1) user provides architecture diagram and needs infrastructure as code or component code. It is an AI Agent Skill for Claude Code / OpenClaw, with 36 downloads so far.

How do I install diagram-to-code?

Run "/install wangjipeng-diagram-to-code" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is diagram-to-code free?

Yes, diagram-to-code is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does diagram-to-code support?

diagram-to-code is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created diagram-to-code?

It is built and maintained by 王继鹏 (@wangjipeng977); the current version is v1.0.0.

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