AugmentClaude
Notes

Remnic Search

By joshuaswarren· joshuaswarren/remnic· 0

Run a deep full-text search across all your Remnic memories.

Installation

  1. Make sure Claude is on your device and in your terminal.

    Skills load from ~/.claude/skills/ when Claude Code starts up — so you need it on your machine first. If you don't have it yet, install it once with the command below, then run claude in any terminal to verify.

    One-time setup
    npm i -g @anthropic-ai/claude-code

    Already have it? Skip ahead.

  2. Paste into Claude Code or into your terminal.
    Install
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    This copies the whole skill folder into ~/.claude/skills/remnic-search-joshuaswarren/ — the SKILL.md plus any scripts, reference docs, or templates the skill ships with. Safe default: works for every skill.

    Faster alternative (instruction-only skills)

    Skips the clone and grabs only the SKILL.md file. Don't use this if the skill ships Python scripts, reference markdowns, or asset templates — they won't be downloaded and the skill will fail when it tries to load them.

    Quick install (SKILL.md only)
    Sign up to copy
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  3. Restart Claude Code.

    Quit and reopen Claude Code (or any other agent that loads from ~/.claude/skills/). New skills are picked up on startup.

  4. Just ask Claude.

    Skills auto-activate when your request matches the skill's description — no slash command needed. Trigger phrases live in the skill's own frontmatter; you can read them in the “What this skill does” section above.

Prefer to read the source first? Open on GitHub.

When Claude uses it

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

What this skill does

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.

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