Load deferred memory IDs and format them for context injection.
npx skills add https://github.com/matt-grain/Anima --skill load-deferred
Please help me install this Agent Skill. Skill: load-deferred Source: https://github.com/matt-grain/Anima/tree/main/.gemini/skills/load-deferred Command: npx skills add https://github.com/matt-grain/Anima --skill load-deferred
This Skill loads memories that were deferred during the initial session due to output size limits, ensuring continuity and richer context for ongoing conversations.
uv run anima load-deferred
High-intent search queries and answers about installing and using this skill.
To load deferred memories into an AI agent session, run the load-deferred command. It retrieves deferred memory IDs, formats them for context injection, and clears the deferred list after output to extend the current context.
Context memories are deferred at session start due to output size limits. You retrieve them by running a deferred memory loading process that fetches and formats the stored memory IDs for ongoing conversation continuity.
Restoring agent context for diagnostic requests requires loading deferred memories. The system retrieves the list of deferred memory IDs, formats the data, and injects it into the current session to provide full continuity.
Trigger lazy context loading after initial session greetings, such as a 'welcome back' message, or when a user issues a diagnostic request. This ensures deferred memories are injected only when needed for conversation continuity.
Yes, the deferred memory list is cleared automatically after output. When you load deferred memories to extend the agent's context, the system formats the data for injection and removes the IDs from the deferred list.
No, the load-deferred Anima command requires no external dependencies to function. It independently retrieves deferred memory IDs, formats them for context injection, and clears the list after output.
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