Auto-invokedSkill
/context-loader
Searches and injects relevant memories into context before starting work on a task or topic. Use when beginning a new task, switching context, or when past decisions, preferences, or knowledge need to be loaded.
Install
$ npx -y skills add mem0ai/mem0 --skill context-loader --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
/context-loader
Context preview
The summary Claude sees to decide when to auto-load this skill.
Searches and injects relevant memories into context before starting work on a task or topic. Use when beginning a new task, switching context, or when past decisions, preferences, or knowledge need to be loaded.
SKILL.md
context-loader.SKILL.mdname: context-loader
description: Searches and injects relevant memories into context before starting work on a task or topic. Use when beginning a new task, switching context, or when past decisions, preferences, or knowledge need to be loaded.
Context Loader
Pre-fetches relevant memories to prime context before working on a task or topic.
When to use
- Session start (auto-triggered by the extension's `before_agent_start` event)
- User starts work on a specific topic or area
- User says "what do we know about X" or "context for X"
Steps
1. **Extract topics** from current message/task. Identify: subject areas, people mentioned, project names, goal references.
2. **Run 2-4 parallel searches** using `mem0_memory` tool with `action="search"` and different query angles:
| Query angle | Purpose | |---|---| | Topic/subject name | Relevant decisions and preferences | | People mentioned | Relationship context | | Project/goal references | Progress and background | | Broad context | Catch-all for anything relevant |
3. **Deduplicate** results by memory ID across all search responses.
4. **Output compact context block** (max 10 memories):
context-loader: loaded <N> memories for "<task summary>"
- [decisions] <content> [mem0:<short_id>]
- [preferences] <content> [mem0:<short_id>]
- [lessons] <content> [mem0:<short_id>]
5. If **zero results**: output nothing. Don't announce empty context.
Constraints
- **Read-only** — never modify or delete memories
- **Max 10 memories** returned (most relevant only)
- **Silent on empty** — only surfaces findings if relevant context exists
- Skip memories already visible in current session context
Read more
name: context-loader description: Searches and injects relevant memories into context before starting work on a task or topic. Use when beginning a new task, switching context, or when past decisions, preferences, or knowledge need to be loaded.
Context Loader
Pre-fetches relevant memories to prime context before working on a task or topic.
When to use
- Session start (auto-triggered by the extension's `before_agent_start` event)
- User starts work on a specific topic or area
- User says "what do we know about X" or "context for X"
Steps
1. **Extract topics** from current message/task. Identify: subject areas, people mentioned, project names, goal references.
2. **Run 2-4 parallel searches** using `mem0_memory` tool with `action="search"` and different query angles:
| Query angle | Purpose | |---|---| | Topic/subject name | Relevant decisions and preferences | | People mentioned | Relationship context | | Project/goal references | Progress and background | | Broad context | Catch-all for anything relevant |
3. **Deduplicate** results by memory ID across all search responses.
4. **Output compact context block** (max 10 memories):
context-loader: loaded <N> memories for "<task summary>" - [decisions] <content> [mem0:<short_id>] - [preferences] <content> [mem0:<short_id>] - [lessons] <content> [mem0:<short_id>]
5. If **zero results**: output nothing. Don't announce empty context.
Constraints
- **Read-only** — never modify or delete memories
- **Max 10 memories** returned (most relevant only)
- **Silent on empty** — only surfaces findings if relevant context exists
- Skip memories already visible in current session context
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