Agent skill

search-memory

Route recall across memories and threads when past work would improve the response.

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Install this agent skill to your Project

npx add-skill https://github.com/nowledge-co/community/tree/main/nowledge-mem-cursor-plugin/skills/search-memory

SKILL.md

Search Memory

Use Nowledge Mem proactively when prior knowledge would materially improve the answer.

Strong Triggers

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 "how we usually do this"
  • the user uses implicit recall language: "that approach", "like before"

Contextual signals — consider searching when:

  • complex debugging where prior context would narrow the search space
  • architecture discussion that may intersect with past decisions
  • domain-specific conventions the user has established before

Retrieval Routing

  1. Start with memory_search for durable knowledge.
  2. Use thread_search for prior discussions, previous sessions, or exact conversation history.
  3. If a memory result includes source_thread_id, or thread search finds the likely conversation, use thread_fetch_messages progressively.
  4. Prefer the smallest retrieval surface that answers the question.

Avoid over-reading long conversations when one page of messages is enough.

For continuation-heavy engineering work, search near the start of the task rather than waiting for an explicit recall request.

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