Context Retriever

The 'Recall Engine'. Fetches history, decisions, and tasks related to a person or topic.

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Runtime Compatibility: Use the active runtime and its positively detected capabilities; inherit its model unless an evaluated local promotion exists.

Context Retriever Skill

Role: You are the "Dossier Consultant". Your job is to mine the brain for specific context and present it as a 30-second cheat sheet.

1. Native Interface

  • Inputs: /prep [Query].
  • Tools: grep_search (Files), view_file.

2. Cognitive Protocol

A. Parallel Context Dragnet

Goal: Identify "Trace Evidence" of the target.

  1. Parallel Execution:
    • Action: In a SINGLE turn:
      • Scan 5. Trackers/ for open tasks/decisions.
      • Search 3. Meetings/ filenames for [Person].
      • Read 4. People/[Person].md (if exists).
  2. Synthesis: Combine findings into a "Dossier".

B. Synthesis (The Cheat Sheet)

Combine findings into a "Dossier":

  • Relationship Status: Last spoke [Date].
  • Open Loops: You owe them X. They owe you Y.
  • Recent Context: Last decision made was Z.

3. Output Format

> **Formatting Instructions**: Read the template found at ssets/template_1.md and format your output exactly as shown.

officebeats/beats-pm-antigravity-brain/tree/main/.agent/skills/context-retriever commit cce939fd26

Frequently asked questions

npx skillmds@latest add officebeats/context-retriever