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Turn natural language into validated Mermaid diagrams and export multiple formats.
This appears to be an open-source MIT prompt-only skill with no required secrets and no declared remote endpoints, so the overall risk is low. It generates Mermaid diagrams and mentions multi-backend rendering, but the limited documentation means any actual external rendering or local execution should still be verified in the installation details.
The materials explicitly state that no keys or environment variables are required. No API tokens, account credentials, or other sensitive secrets are requested, so credential exposure risk appears low.
Although no remote endpoint is declared, the description mentions multiple backends including Kroki. If Kroki is actually used for rendering, diagram content may be sent to an external service. The materials do not specify domains, default behavior, or whether rendering is strictly local, so this warrants caution.
The objective checks mark this as prompt-only. Based on the current materials, there is no installation script, local process launch, shell execution, or system-level operation described. Mention of mmdc only suggests possible backend compatibility and does not by itself prove actual code execution.
There is no stated access to local files, sensitive directories, databases, or permissions beyond the diagramming purpose. From the materials, it mainly converts natural language into Mermaid diagram text.
The source is an open-source GitHub repository under MIT license, which provides reasonable auditability, and it has some community adoption (62 stars), both of which reduce supply-chain risk. Still, the missing README and unknown maintenance status mean the repository contents and recent commits should be checked before use.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mermaid-skill" yet — see the docs or source repo.
Create a Mermaid architecture diagram from the following system description using flowchart or graph syntax, and make sure it passes validation: Users access the system through a web frontend and API gateway. Requests go to an auth service, order service, and payment service. The order service reads and writes MySQL. The payment service calls a third-party payment API. All services send logs to a monitoring platform. Output the .mmd content and a short explanation.
Renderable Mermaid diagram code that clearly shows service relationships and data flow.
Turn this product requirement into a Mermaid flowchart: After registration, users enter onboarding. Once profile completion is finished, they can create a project. If the profile is incomplete, show a completion prompt. After creating a project, users can invite members, and invited members enter the collaboration space after accepting. Output valid Mermaid flowchart code and check for syntax issues.
A clear product flowchart with conditional branches and key user paths.
Generate a Mermaid sequence diagram from this interaction and ensure it can be exported as SVG or PNG: A user submits a login request, the frontend calls the auth API, the auth API queries the user database, returns a token after successful verification, and the frontend then uses the token to request the profile API and display user information. Output Mermaid sequenceDiagram code.
Mermaid sequence diagram code suitable for technical docs, accurately reflecting participants and request order.
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Turn natural language into hand-drawn Excalidraw diagrams for flows and architectures.
Validate and render Mermaid diagrams quickly into PNG or SVG files.
Generate readable, shareable Mermaid diagrams from natural language prompts.
Publish Markdown documents as public share links with Mermaid diagram support.
Generate Mermaid diagrams with live preview and SVG/PNG export.
Publish Markdown documents as public share links with Mermaid diagram support.
Generate professional draw.io diagrams from natural language for technical and business use.