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.
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- 26 août 2026 à 06:52
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SKILL.md
Instructions source · Aperçu en lecture seule- 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
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