Skill UI

This toolset allows users to save and restore complete agent sessions, ensuring context continuity across multiple conversations. It captures the agent's entire state, including memory, configuration, task progress, and learning metrics. Use it when pausing work and needing to resume later with full context, or for checkpointing long-running tasks.

This skill generates a comprehensive, structured handoff document from the current conversation session. It captures all critical project details, including scope, relevant files with specific line numbers, key discoveries, achieved work, current status, and actionable next steps. This is essential for knowledge transfer, ensuring that work can be seamlessly resumed by another agent or team member.

This skill interviews users to extract project vision, decisions, and preferences into durable documentation like README and ADRs. It follows a structured loop: checking existing docs, asking varied questions, and updating documents after every answer. The goal is to save user judgment and knowledge into clear markdown files. It ensures consistency and captures the project's core identity through back-and-forth interaction.

This skill facilitates structured, bidirectional reading and knowledge synthesis for academic texts, theories, and articles. It forces users to first capture the source material's original intent, before critically mapping its relationships, conflicts, and absorptions against the CrossFrame framework. It ensures structured output with clear source boundaries, making it ideal for deep learning and scholarly work.