search-memory

Installation
Summary

Search your personal knowledge base to surface relevant past insights, decisions, and solutions.

  • Proactively searches durable knowledge and conversation history when context suggests prior work would improve the response
  • Distinguishes between memory searches (nmem m search) for stored breakthroughs and thread searches (nmem t search) for exact session history
  • Recognizes trigger patterns: user references to prior fixes, resumed features, debugging similarities, requests for rationale, and ambiguous results needing historical context
  • Supports progressive inspection of threaded results with configurable limits and content boundaries to retrieve only what's needed
SKILL.md

Search Memory

AI-powered search across your personal knowledge base using Nowledge Mem.

When to Use

Strong signals — search when:

  • the user references previous work, a prior fix, or an earlier decision
  • the task resumes a named feature, bug, refactor, incident, or subsystem
  • the task is a review, regression, release, docs-alignment, or integration-behavior question
  • a debugging pattern resembles something solved earlier
  • the user asks for rationale, preferences, procedures, or recurring workflow details
  • the user uses implicit recall language: "that approach", "like before", "the pattern we used"

Contextual signals — consider searching when:

Related skills
Installs
563
GitHub Stars
77
First Seen
Feb 15, 2026