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AI Agent Skill for Efficient Spec Implementation in Codex

AI Agent Skill for Efficient Spec Implementation in Codex

Regular price £38.99
Regular price £38.99 Sale price
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Works withClaude CodeCursorCodexGemini CLI
AI Agent Skill for Efficient Spec Implementation in Codex

AI Agent Skill for Efficient Spec Implementation in Codex

Regular price £38.99
Regular price £38.99 Sale price
SAVE Sold out

AI Agent Skill for Efficient Spec Implementation in Codex

This AI agent skill assists developers and teams by providing a structured approach to implementing specifications or GitHub tickets specifically for Codex. It ensures that development work aligns with existing code patterns and simplifies the transition from specifications to implementation.

What this skill does

  • Implements only the assigned GitHub ticket by following a structured approach.
  • Guides the user to read relevant documentation including CONTEXT-MAP, ADRs, and docs/agents if available.
  • Helps locate similar, recently-merged examples within the repository to match existing patterns. If no examples exist, users are prompted to note this in the pull request description.
  • Employs Test-Driven Development (/tdd) at pre-agreed seams to ensure code robustness.
  • Encourages frequent type checks and focused test runs, culminating in a full test suite execution before completion.
  • Uses the `/unslop` command to maintain sync with the main branch.
  • Assists in creating or updating pull requests, with a standard procedure for resolution and feedback cycles.

Who it is for

  • Developers and engineering teams using AI coding agents such as Claude Code, Cursor, and Codex.
  • Teams looking to follow a consistent implementation pattern across projects.
  • Development teams utilizing GitHub for code management and review.

Use cases

  • Integrating new feature specifications into existing Codex projects while ensuring code consistency.
  • Simplifying adherence to repository standards and patterns through documented guidance and examples.
  • Efficiently managing and resolving code reviews and feedback in GitHub.

Technical details

  • Compatible with AI coding environments such as Claude Code, Cursor, and Codex.
  • Involves agent-orchestration, aiapplication, and implement capabilities.
  • Integrates with GitHub for managing pull requests and review threads.

Source & Licence

This package is built on open-source work published by Kripu77 (Kripu77/software-factory) 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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Dropped it into Claude Code and my LCP went from 4.1s to 1.9s in an afternoon. It explains every fix it suggests, so I actually learned something too.

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Instant delivery, clean files, clear docs. This is how digital products should be sold. Already bought three more skills.

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