AI Intake Skill: Streamline Feature Logging & Bug Tracking

AI Intake Skill: Streamline Feature Logging & Bug Tracking

The AI Intake Skill is designed to systematically capture feature ideas and bug reports within development environments. It intelligently organizes these inputs as graded entries in the central INTAKE.md ledger, providing a structured foundation for subsequent project documentation phases.

What this skill does

• Captures feature ideas and bug reports using simple commands such as "log an idea" or "capture a bug," or by invoking /intake.
• Conducts a thorough requirements interview to develop initial ideas, suggests related concepts, and separates more complex ideas into distinct, manageable components.
• Assigns a grade to each idea based on complexity, token cost, and sequencing in a single-turn assessment process.
• Feeds into the plan-pm system, which autonomously drafts a Product Requirements Document (PRD).
• Allows for updates to existing entries, offering options to modify or correct logged ideas using commands such as "update that idea" or "edit the backlog row."
• Handles deletion of entries, providing warnings and seeking confirmation before removing ideas or bug logs that might affect the workflow.

Who it is for

• Developers and development teams utilizing AI coding agents like Claude Code, Cursor, and Codex who need a systematic approach to backlog management and feature tracking.
• Project managers looking for a streamlined method to transition from concept capture to detailed project documentation.

Use cases

• A development team needs to efficiently manage a backlog of feature requests and bug reports, using simple logging commands to streamline initial idea capture.
• An individual developer wants to enhance their project management by integrating AI-driven documentation drafting to transition organized ideas into actionable plans.
• A project manager seeks to ensure all feature ideas are well-documented, graded, and poised for prompt inclusion in PRDs, optimizing development workflow.

Technical details

• Integrates seamlessly as part of AI coding agent workflows with tools such as Claude Code, Cursor, and Codex.
• Utilizes core functionalities like agent-skills, aiapplication, and intake for precise operation.
• Maintains the INTAKE.md ledger as the primary logging repository for feature and bug tracking.

Source & Licence

This package is built on open-source work published by ndisisnd (ndisisnd/msg) 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.