Search Remnic memories by natural-language query. Trigger phrases include "what do you remember about", "recall anything on", "have we discussed".
Scanned 9/3/2026
Install to Claude Code
npx -y skills add joshuaswarren/remnic --skill remnic-recall --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: remnic-recall
description: Search Remnic memories by natural-language query. Trigger phrases include "what do you remember about", "recall anything on", "have we discussed".
allowed-tools:
- remnic_recall
---
## When to use
Use when the user or the current task needs prior context from Remnic. This is the default first step for any non-trivial turn that could benefit from memory.
Triggers:
- "What do you remember about …"
- "Have we talked about …"
- "Recall anything on …"
- A new task begins and the agent wants background.
## Inputs
- `query` (required) — natural-language question or topic string.
- Optional budget hint from the caller (e.g., "brief", "deep").
## Procedure
1. Build a concise natural-language query from the user's request. Prefer the user's own wording over paraphrase.
2. Call `remnic_recall` with that query. Ask for 3–8 results unless the caller hinted otherwise.
3. Skim the returned memories. Discard anything clearly off-topic.
4. Present 1–5 relevant bullet points to the user, each attributed to its source memory when useful.
5. If nothing relevant came back, say so plainly and suggest `remnic-remember` if there is something worth storing now.
## Efficiency plan
- One broad recall beats several narrow ones.
- Reuse results within the same turn — do not re-query for the same topic.
- Skip recall entirely for trivially local requests (formatting, arithmetic, mechanical refactors).
## Pitfalls and fixes
- **Pitfall:** Quoting irrelevant recalls just because they came back. **Fix:** Filter by topical relevance before surfacing.
- **Pitfall:** Over-narrowing the query and missing useful context. **Fix:** Start broad; refine only if the first pass was noisy.
- **Pitfall:** Presenting raw memory blobs. **Fix:** Summarize in the user's own terms.
## Verification checklist
- [ ] `remnic_recall` was called with a natural-language query.
- [ ] Results were filtered for relevance before surfacing.
- [ ] User-facing summary is concise (≤ 5 bullets unless requested).
- [ ] Legacy `engram_recall` alias was not preferred over `remnic_recall`.
> Tool names: canonical name is `remnic_recall`. The legacy `engram_recall` alias remains accepted during v1.x.
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