Auto-invokedSkill
/search
Search memories from earlier Antigravity sessions in this repository. Use it when earlier work may already explain the code, error, decision, or command you need, so you can avoid repeating file reads, searches, or experiments.
Install
$ npx -y skills add mem0ai/mem0 --skill search --agent claude-codeHow 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
/search
Context preview
The summary Claude sees to decide when to auto-load this skill.
Search memories from earlier Antigravity sessions in this repository. Use it when earlier work may already explain the code, error, decision, or command you need, so you can avoid repeating file reads, searches, or experiments.
SKILL.md
search.SKILL.mdname: search
description: Search memories from earlier Antigravity sessions in this repository. Use it when earlier work may already explain the code, error, decision, or command you need, so you can avoid repeating file reads, searches, or experiments.
argument-hint: "[question] [--top-k number] [--category category-name] [--scope repo|dir|mine] [--run-id session-id]"
disable-model-invocation: true
Search memories
Call `search_memories` with the user's question. Treat `--top-k`, `--category`, `--scope`, and `--run-id` as tool arguments instead of including them in the query.
Omit `top_k` to use Mem0's configured default. Omit `category` to search every category; a category is a best-effort label Mem0 assigned when it saved the memory, so if a category search misses, repeat it without the category. Omit `scope` to use the configured default, normally `repo`: this repository's shared memory, which everyone who works in it contributes to, plus your own preferences.
Pass `scope` when the question needs something else: `dir` to narrow the shared memory to the directory you are working in (a package inside a monorepo), `mine` for your own preferences alone.
Pass `run_id` with any scope to retrieve memories saved in a specific coding-agent session. Omit `run_id` to search across sessions. It filters the memories returned; it does not identify the session making the search request. Use a known session ID, never invent one. Return the tool's result directly.
Read more
name: search description: Search memories from earlier Antigravity sessions in this repository. Use it when earlier work may already explain the code, error, decision, or command you need, so you can avoid repeating file reads, searches, or experiments. argument-hint: "[question] [--top-k number] [--category category-name] [--scope repo|dir|mine] [--run-id session-id]" disable-model-invocation: true
Search memories
Call `search_memories` with the user's question. Treat `--top-k`, `--category`, `--scope`, and `--run-id` as tool arguments instead of including them in the query.
Omit `top_k` to use Mem0's configured default. Omit `category` to search every category; a category is a best-effort label Mem0 assigned when it saved the memory, so if a category search misses, repeat it without the category. Omit `scope` to use the configured default, normally `repo`: this repository's shared memory, which everyone who works in it contributes to, plus your own preferences.
Pass `scope` when the question needs something else: `dir` to narrow the shared memory to the directory you are working in (a package inside a monorepo), `mine` for your own preferences alone.
Pass `run_id` with any scope to retrieve memories saved in a specific coding-agent session. Omit `run_id` to search across sessions. It filters the memories returned; it does not identify the session making the search request. Use a known session ID, never invent one. Return the tool's result directly.
Ships withmem0
Mem0 ("mem-zero") enhances AI assistants and agents with an intelligent memory layer, enabling personalized AI interactions.
Get the whole plugin, auto-invoked