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Optimize Arcgram Diagrams: AI Skill for Code Reconciliation

Optimize Arcgram Diagrams: AI Skill for Code Reconciliation

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Works withClaude CodeCursorCodexGemini CLI
Optimize Arcgram Diagrams: AI Skill for Code Reconciliation

Optimize Arcgram Diagrams: AI Skill for Code Reconciliation

Regular price £11.99
Regular price £11.99 Sale price
SAVE Sold out

Optimize Arcgram Diagrams: AI Skill for Code Reconciliation

The "Optimize Arcgram Diagrams" AI Skill ensures that Arcgram diagrams accurately reflect the corresponding code implementations. It verifies that the @spec values in a diagram are consistent with the same-named constants in the source code, identifying any discrepancies between the two. This process supports developers in maintaining alignment between diagrammatic specifications and code constants.

What this skill does

  • Accepts two inputs: an Arcgram diagram and the code it describes.
  • Checks if the diagram's `@spec` values match the corresponding code constants.
  • Identifies differences such as `spec-drift`, `spec-no-constant`, `malformed-spec`, and `value-uncovered`.
  • Reads only the `@spec` line in diagrams and named constants in the code, excluding geometry and other elements.
  • Provides typed findings to indicate misalignment, supporting developers in reconciling diagrams with code.

Who it is for

This skill is designed for developers and development teams who utilize AI coding agents, such as Claude Code, Cursor, and Codex, and who require the assurance that their diagram specifications are accurately reflected in the source code.

Use cases

  • Use after editing a diagram or associated code to ensure consistency between visual specifications and coded implementations.
  • Employ in a development workflow to prevent configuration drift in projects where Arcgram diagrams illustrate design intent.
  • Apply in quality assurance processes where verification of diagrammatic coherence with actual code values is essential.

Technical details

This AI skill is agent-neutral and integrates seamlessly with AI coding platforms, including Claude Code, Cursor, and Codex. It specifically analyzes `@spec` lines and named constants within code, focusing exclusively on value consistency without interfering with structure or design elements.


Source & Licence

This package is built on open-source work published by jovesun-lab (jovesun-lab/arcgram) and distributed under Apache-2.0. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted under the Apache License 2.0, which also includes an express patent grant. Attribution and any NOTICE file must be retained.

Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.

Delivery & Support

  • Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
  • Format: ZIP archive containing the skill files, documentation and the original licence.
  • Support: support@mcpcart.com — we aim to reply within 2 business days.
  • Updates: updates are included only where stated on this page.

Refunds

This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.

Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.

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Reviews

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