Optimize AI Research: Project-Context V2 Memory Manager

Optimize AI Research: Project-Context V2 Memory Manager

The Project-Context V2 Memory Manager skill manages evidence-centric memory throughout the lifecycle of long-term scientific research and research engineering. This skill assists in initializing research projects, adopting memory systems into existing projects, and ensuring reproducibility across AI sessions.

What this skill does

• Supports the creation and formulation of research questions and hypotheses.
• Facilitates planning and registering experiments, as well as the recording of experiments in any state (running, completed, failed).
• Ensures the preservation of raw data tables, provenance, and promotes findings to established knowledge.
• Aids in auditing the support of research claims and diagnosing documentation drift.
• Presents a traceable chain from research questions to evidence and claims, offering a robust framework for managing research memory.
• Separates memory into four epistemic classes: evidence, observation, interpretation, and decision.
• Enforces the durability of evidence over interpretation, ensuring no loss of fundamental data.
• Marks results or claims as superseded or invalidated with documented reasoning, maintaining a transparent historical record.

Who it is for

This skill is designed for developers and research teams using AI coding agents such as Claude Code, Cursor, and Codex. It is particularly beneficial for those involved in scientific research, engineering research, and data management requiring thorough documentation and reproducibility.

Use cases

• Resuming AI coding sessions and ensuring the persistence of research context and data.
• Conducting research projects where the traceable evolution from data collection to claim development is critical.
• Supporting the revision and correction of analyses without compromising the integrity of the original research records.
• Handing off research projects while maintaining consistent memory and provenance trails.

Technical details

• Integrates the use of agent-skills and aiapplication tools.
• Utilises the project-context-v2 process to manage evidence-first memories across AI research tasks.

Source & Licence

This package is built on open-source work published by poiuyjie (poiuyjie/jev_project_context) 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.