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Master AI Backend Skills: Agent Engineering Handbook

Master AI Backend Skills: Agent Engineering Handbook

Regular price £30.99
Regular price £30.99 Sale price
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Works withClaude CodeCursorCodexGemini CLI
Master AI Backend Skills: Agent Engineering Handbook

Master AI Backend Skills: Agent Engineering Handbook

Regular price £30.99
Regular price £30.99 Sale price
SAVE Sold out

Master AI Backend Skills: Agent Engineering Handbook

The "Master AI Backend Skills: Agent Engineering Handbook" provides developers and engineering teams with a comprehensive directory for building and reviewing AI agent and LLM backends. This handbook acts as a table of contents, offering succinct chapter summaries and reference links for topics related to backend engineering specific to agent applications.

What this skill does

  • Provides a directory of engineering concerns for AI agents to guide the construction and review process.
  • Covers topics such as architecture, prompt engineering, tools design (ACI), memory, retrieval/RAG, resilience, and interaction with databases.
  • Ensures compliance with engineering gates and ruleset definitions for robust backend operations.
  • Incorporates key practices for data access, caching, and secured interfacing in backend systems.
  • Contains cross-references to standards for observability, Git workflow, and A2A contracts.

Who it is for

  • Developers working with AI agent skills on platforms such as Claude Code, Cursor, and Codex.
  • Engineering teams responsible for backend development and maintenance of AI applications.
  • Project leads and architects involved in systems design and reviewing backend workflows.

Use cases

  • Designing new AI agents or large language model backends with a structured, standards-based approach.
  • Reviewing existing AI agent backends to ensure compliance with recommended engineering practices.
  • Establishing or revising code review and integration practices to include database access and secure interfacing standards.
  • Ensuring that the backend system adheres to lifecycle management and evaluative benchmarking.

Technical details

  • Standardizes practices for backend architecture and control flow involving AI agents.
  • Discusses the lifecycle management of prompt content and model coupling issues.
  • Integrates guidelines for tool/function design and evaluative processes.
  • Addresses key backend engineering topics with references to Python, Go, Java, and Rust programming languages.

Source & Licence

This package is built on open-source work published by martin1847 (martin1847/evolab) and distributed under MIT. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are 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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