context-loader
Searches and injects relevant memories into context before starting work on a task. Use when beginning a new task, switching context, or when project history, past decisions, or coding conventions need to be loaded.
What this skill does
# Context Loader
Pre-fetches relevant memories to prime context before working on a task.
## When to use
- Session start (invoke manually or auto-triggered by skill description matching)
- User starts work on a specific feature or file set
- Complex multi-step task begins
- User says "what do we know about X" or "context for X"
## Steps
1. **Extract topics** from current message/task. Identify: file paths, module names, feature areas, error patterns.
2. **Run 2-4 parallel `search_memories` calls** with different angles:
| Query angle | Filter | Purpose |
|---|---|---|
| Feature/module name | `{"AND": [{"user_id": "<id>"}, {"app_id": "<pid>"}, {"metadata": {"type": "decision"}}]}` | Architecture decisions |
| File paths mentioned | `{"AND": [{"user_id": "<id>"}, {"app_id": "<pid>"}, {"metadata": {"type": "convention"}}]}` | Coding patterns |
| Error keywords (if any) | `{"AND": [{"user_id": "<id>"}, {"app_id": "<pid>"}, {"metadata": {"type": "anti_pattern"}}]}` | Known pitfalls |
| Broad project context | `{"AND": [{"user_id": "<id>"}, {"app_id": "<pid>"}]}` | Catch-all |
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>"
- [decision] <content> [mem0:<short_id>]
- [convention] <content> [mem0:<short_id>]
- [anti_pattern] <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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