feat: Add fast startup fetch and background caching

- Add  for quick startup using first N feeds
- Add background thread for full fetch and caching
- Update  to use fast fetch
- Update docs and skills

AGENTS.md

@@ -267,15 +267,45 @@ The new Stage-based pipeline architecture provides capability-based dependency r
 
 - **Stage** (`engine/pipeline/core.py`): Base class for pipeline stages
 - **Pipeline** (`engine/pipeline/controller.py`): Executes stages with capability-based dependency resolution
+- **PipelineConfig** (`engine/pipeline/controller.py`): Configuration for pipeline instance
 - **StageRegistry** (`engine/pipeline/registry.py`): Discovers and registers stages
 - **Stage Adapters** (`engine/pipeline/adapters.py`): Wraps existing components as stages
 
+#### Pipeline Configuration
+
+The `PipelineConfig` dataclass configures pipeline behavior:
+
+```python
+@dataclass
+class PipelineConfig:
+    source: str = "headlines"      # Data source identifier
+    display: str = "terminal"      # Display backend identifier
+    camera: str = "vertical"       # Camera mode identifier
+    effects: list[str] = field(default_factory=list)  # List of effect names
+    enable_metrics: bool = True    # Enable performance metrics
+```
+
+**Available sources**: `headlines`, `poetry`, `empty`, `list`, `image`, `metrics`, `cached`, `transform`, `composite`, `pipeline-inspect`
+**Available displays**: `terminal`, `null`, `replay`, `websocket`, `pygame`, `moderngl`, `multi`
+**Available camera modes**: `FEED`, `SCROLL`, `HORIZONTAL`, `OMNI`, `FLOATING`, `BOUNCE`, `RADIAL`
+
 #### Capability-Based Dependencies
 
 Stages declare capabilities (what they provide) and dependencies (what they need). The Pipeline resolves dependencies using prefix matching:
 - `"source"` matches `"source.headlines"`, `"source.poetry"`, etc.
+- `"camera.state"` matches the camera state capability
 - This allows flexible composition without hardcoding specific stage names
 
+#### Minimum Capabilities
+
+The pipeline requires these minimum capabilities to function:
+- `"source"` - Data source capability
+- `"render.output"` - Rendered content capability
+- `"display.output"` - Display output capability
+- `"camera.state"` - Camera state for viewport filtering
+
+These are automatically injected if missing by the `ensure_minimum_capabilities()` method.
+
 #### Sensor Framework
 
 - **Sensor** (`engine/sensors/__init__.py`): Base class for real-time input sensors
@@ -406,23 +436,23 @@ A skills library MCP server (`skills`) is available for capturing and tracking l
 ### Workflow
 
 **Before starting work:**
-1. Run `skills_list_skills` to see available skills
-2. Use `skills_peek_skill({name: "skill-name"})` to preview relevant skills
-3. Use `skills_skill_slice({name: "skill-name", query: "your question"})` to get relevant sections
+1. Run `local_skills_list_skills` to see available skills
+2. Use `local_skills_peek_skill({name: "skill-name"})` to preview relevant skills
+3. Use `local_skills_skill_slice({name: "skill-name", query: "your question"})` to get relevant sections
 
 **While working:**
-- If a skill was wrong or incomplete: `skills_update_skill` → `skills_record_assessment` → `skills_report_outcome({quality: 1})`
-- If a skill worked correctly: `skills_report_outcome({quality: 4})` (normal) or `quality: 5` (perfect)
+- If a skill was wrong or incomplete: `local_skills_update_skill` → `local_skills_record_assessment` → `local_skills_report_outcome({quality: 1})`
+- If a skill worked correctly: `local_skills_report_outcome({quality: 4})` (normal) or `quality: 5` (perfect)
 
 **End of session:**
-- Run `skills_reflect_on_session({context_summary: "what you did"})` to identify new skills to capture
-- Use `skills_create_skill` to add new skills
-- Use `skills_record_assessment` to score them
+- Run `local_skills_reflect_on_session({context_summary: "what you did"})` to identify new skills to capture
+- Use `local_skills_create_skill` to add new skills
+- Use `local_skills_record_assessment` to score them
 
 ### Useful Tools
-- `skills_review_stale_skills()` - Skills due for review (negative days_until_due)
-- `skills_skills_report()` - Overview of entire collection
-- `skills_validate_skill({name: "skill-name"})` - Load skill for review with sources
+- `local_skills_review_stale_skills()` - Skills due for review (negative days_until_due)
+- `local_skills_skills_report()` - Overview of entire collection
+- `local_skills_validate_skill({name: "skill-name"})` - Load skill for review with sources
 
 ### Agent Skills