SuperAPI AI Directory

context-loader

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Updated 10-16 00:24

About this skill

Context Loader

Pre-fetches relevant memories to prime context before working on a task or topic.

Steps

  1. Extract topics from current message/task. Identify: subject areas, people mentioned, project names, goal references.

  2. Call mem0_memory once with action="search" and a focused question about the task.

  3. Output compact context block (max 10 memories):

context-loader: loaded <N> memories for "<task summary>"
  - [decisions] <content> [mem0:<short_id>]
  - [preferences] <content> [mem0:<short_id>]
  - [lessons] <content> [mem0:<short_id>]
  1. If zero results: output nothing. Don't announce empty context.

Constraints

  • Read-only — never modify or delete memories
  • Max 10 memories returned (most relevant only)
  • Silent on empty — only surfaces findings if relevant context exists
  • Skip memories already visible in current session context