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Agent Memory
Skill

/remnic-search

Run a deep full-text search across every Remnic memory. Trigger phrases include "search memories for", "find anything about", "deep search".

BOOST
From plugin
remnic
2256 skills1 agent1 MCP
Install
$ npx -y skills add joshuaswarren/remnic --skill remnic-search --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/remnic-search

Context preview

The summary Claude sees to decide when to auto-load this skill.

Run a deep full-text search across every Remnic memory. Trigger phrases include "search memories for", "find anything about", "deep search".

SKILL.md

remnic-search.SKILL.md
name: remnic-search
description: Run a deep full-text search across every Remnic memory. Trigger phrases include "search memories for", "find anything about", "deep search".
allowed-tools:
  - remnic_lcm_search

When to use

Use when `remnic-recall` did not surface something the user insists exists, or when the task genuinely needs exhaustive coverage rather than a ranked semantic summary.

Triggers:

  • "Search memories for …"
  • "Deep search on …"
  • `/remnic:search <query>` slash command invocation.
  • Follow-up after `remnic-recall` returned nothing useful.

Inputs

  • `query` (required) — literal phrase or keyword string; this is full-text, not semantic.
  • Optional: date range, category filter, entity constraint.

Procedure

1. Pick the most literal phrase the user expects to match. 2. Call `remnic_lcm_search` with that phrase. 3. Group results by date or category when the tool returns enough metadata. 4. Present the top 5–10 matches with dates and short excerpts. 5. If still nothing, say so plainly and offer `remnic-remember` for capturing the content going forward.

Efficiency plan

  • Use the most specific phrase available.
  • One targeted search beats several broad ones.
  • Do not re-run a deep search for the same topic in the same turn after recall already covered it.

Pitfalls and fixes

  • **Pitfall:** Using `remnic_lcm_search` as the default. **Fix:** Start with `remnic_recall`; escalate only when recall fails.
  • **Pitfall:** Pasting huge result dumps. **Fix:** Show top matches with excerpts.
  • **Pitfall:** Over-broad queries. **Fix:** Require at least one distinctive keyword.

Verification checklist

  • [ ] `remnic_lcm_search` was called only after recall fell short or exhaustive matching was required.
  • [ ] Results were grouped by relevance or date when possible.
  • [ ] Output shows excerpts, not raw payloads.
  • [ ] Canonical `remnic_lcm_search` was used over legacy `engram_lcm_search`.

> Tool names: canonical name is `remnic_lcm_search`. The legacy `engram_lcm_search` alias remains accepted during v1.x.

Read more
Ships withremnic

Open-source, local-first memory and context for AI agents. One memory store, every agent. Website: remnic.ai - guide library, comparisons, benchmarks, and changelog. Your files, your machine.

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