
Projection Patterns
- 8.2k installs
- 38.3k repo stars
- Updated July 22, 2026
- wshobson/agents
projection-patterns is an agent skill that Build read models and projections from event streams. Use when implementing CQRS read sides, building materialized views, or optimizing query performance in eve.
About
Build read models and projections from event streams. Use when implementing CQRS read sides, building materialized views, or optimizing query performance in event-sourced systems. --- name: projection-patterns description: Build read models and projections from event streams. Use when implementing CQRS read sides, building materialized views, or optimizing query performance in event-sourced systems. --- # Projection Patterns Comprehensive guide to building projections and read models for event-sourced systems. ## When to Use This Skill - Building CQRS read models - Creating materialized views from events - Optimizing query performance - Implementing real-time dashboards - Building search indexes from events - Aggregating data across streams ## Core Concepts ### 1. Projection Architecture ``` ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │ Event Store │────►│ Projector │────►│ Read Model │ │ │ │ │ │ (Database) │ │ ┌─────────┐ │ │ ┌─────────┐ │ │ ┌─────────┐ │ │ │ Events │ │ │ │ Handler │ │ │ │ Tables │ │ │ └─────────┘ │ │ │ Logic │ │ │ │ Views │ │ │ │ │ └─────────┘ │ │ │ Cache │ │ └─────────────┘ └─────────────┘ └─────────────┘ ``` ### 2. Projection Types | Type | Description | U.
- Building CQRS read models
- Creating materialized views from events
- Optimizing query performance
- Implementing real-time dashboards
- Building search indexes from events
Projection Patterns by the numbers
- 8,228 all-time installs (skills.sh)
- +159 installs in the week ending Jul 28, 2026 (Skillselion tracking)
- Ranked #106 of 16,659 AI & Agent Building skills by installs in the Skillselion catalog
- Security screen: LOW risk (skills.sh audit)
- Data as of Jul 28, 2026 (Skillselion catalog sync)
projection-patterns capabilities & compatibility
- Capabilities
- building cqrs read models · creating materialized views from events · optimizing query performance · implementing real time dashboards · building search indexes from events
- Use cases
- documentation
What projection-patterns says it does
--- name: projection-patterns description: Build read models and projections from event streams.
Use when implementing CQRS read sides, building materialized views, or optimizing query performance in event-sourced systems.
--- # Projection Patterns Comprehensive guide to building projections and read models for event-sourced systems.
Read that file when you need the concrete templates.
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| Installs | 8.2k |
|---|---|
| repo stars | ★ 38.3k |
| Security audit | 3 / 3 scanners passed |
| Last updated | July 22, 2026 |
| Repository | wshobson/agents ↗ |
What problem does projection-patterns solve for developers using this skill?
Build read models and projections from event streams. Use when implementing CQRS read sides, building materialized views, or optimizing query performance in event-sourced systems.
Who is it for?
Developers who need projection-patterns patterns described in the cached skill documentation.
Skip if: Skip when docs are empty or the task is outside the skill's documented scope.
When should I use this skill?
Build read models and projections from event streams. Use when implementing CQRS read sides, building materialized views, or optimizing query performance in event-sourced systems.
What you get
Actionable workflows and conventions from SKILL.md for projection-patterns.
- Python projector classes
- Checkpointed read-model updaters
Files
Projection Patterns
Comprehensive guide to building projections and read models for event-sourced systems.
When to Use This Skill
- Building CQRS read models
- Creating materialized views from events
- Optimizing query performance
- Implementing real-time dashboards
- Building search indexes from events
- Aggregating data across streams
Core Concepts
1. Projection Architecture
┌─────────────┐ ┌─────────────┐ ┌─────────────┐
│ Event Store │────►│ Projector │────►│ Read Model │
│ │ │ │ │ (Database) │
│ ┌─────────┐ │ │ ┌─────────┐ │ │ ┌─────────┐ │
│ │ Events │ │ │ │ Handler │ │ │ │ Tables │ │
│ └─────────┘ │ │ │ Logic │ │ │ │ Views │ │
│ │ │ └─────────┘ │ │ │ Cache │ │
└─────────────┘ └─────────────┘ └─────────────┘2. Projection Types
| Type | Description | Use Case |
|---|---|---|
| Live | Real-time from subscription | Current state queries |
| Catchup | Process historical events | Rebuilding read models |
| Persistent | Stores checkpoint | Resume after restart |
| Inline | Same transaction as write | Strong consistency |
Templates and detailed worked examples
Full template library and detailed worked examples live in references/details.md. Read that file when you need the concrete templates.
Best Practices
Do's
- Make projections idempotent - Safe to replay
- Use transactions - For multi-table updates
- Store checkpoints - Resume after failures
- Monitor lag - Alert on projection delays
- Plan for rebuilds - Design for reconstruction
Don'ts
- Don't couple projections - Each is independent
- Don't skip error handling - Log and alert on failures
- Don't ignore ordering - Events must be processed in order
- Don't over-normalize - Denormalize for query patterns
projection-patterns — templates and worked examples
Templates
Template 1: Basic Projector
from abc import ABC, abstractmethod
from dataclasses import dataclass
from typing import Dict, Any, Callable, List
import asyncpg
@dataclass
class Event:
stream_id: str
event_type: str
data: dict
version: int
global_position: int
class Projection(ABC):
"""Base class for projections."""
@property
@abstractmethod
def name(self) -> str:
"""Unique projection name for checkpointing."""
pass
@abstractmethod
def handles(self) -> List[str]:
"""List of event types this projection handles."""
pass
@abstractmethod
async def apply(self, event: Event) -> None:
"""Apply event to the read model."""
pass
class Projector:
"""Runs projections from event store."""
def __init__(self, event_store, checkpoint_store):
self.event_store = event_store
self.checkpoint_store = checkpoint_store
self.projections: List[Projection] = []
def register(self, projection: Projection):
self.projections.append(projection)
async def run(self, batch_size: int = 100):
"""Run all projections continuously."""
while True:
for projection in self.projections:
await self._run_projection(projection, batch_size)
await asyncio.sleep(0.1)
async def _run_projection(self, projection: Projection, batch_size: int):
checkpoint = await self.checkpoint_store.get(projection.name)
position = checkpoint or 0
events = await self.event_store.read_all(position, batch_size)
for event in events:
if event.event_type in projection.handles():
await projection.apply(event)
await self.checkpoint_store.save(
projection.name,
event.global_position
)
async def rebuild(self, projection: Projection):
"""Rebuild a projection from scratch."""
await self.checkpoint_store.delete(projection.name)
# Optionally clear read model tables
await self._run_projection(projection, batch_size=1000)Template 2: Order Summary Projection
class OrderSummaryProjection(Projection):
"""Projects order events to a summary read model."""
def __init__(self, db_pool: asyncpg.Pool):
self.pool = db_pool
@property
def name(self) -> str:
return "order_summary"
def handles(self) -> List[str]:
return [
"OrderCreated",
"OrderItemAdded",
"OrderItemRemoved",
"OrderShipped",
"OrderCompleted",
"OrderCancelled"
]
async def apply(self, event: Event) -> None:
handlers = {
"OrderCreated": self._handle_created,
"OrderItemAdded": self._handle_item_added,
"OrderItemRemoved": self._handle_item_removed,
"OrderShipped": self._handle_shipped,
"OrderCompleted": self._handle_completed,
"OrderCancelled": self._handle_cancelled,
}
handler = handlers.get(event.event_type)
if handler:
await handler(event)
async def _handle_created(self, event: Event):
async with self.pool.acquire() as conn:
await conn.execute(
"""
INSERT INTO order_summaries
(order_id, customer_id, status, total_amount, item_count, created_at)
VALUES ($1, $2, $3, $4, $5, $6)
""",
event.data['order_id'],
event.data['customer_id'],
'pending',
0,
0,
event.data['created_at']
)
async def _handle_item_added(self, event: Event):
async with self.pool.acquire() as conn:
await conn.execute(
"""
UPDATE order_summaries
SET total_amount = total_amount + $2,
item_count = item_count + 1,
updated_at = NOW()
WHERE order_id = $1
""",
event.data['order_id'],
event.data['price'] * event.data['quantity']
)
async def _handle_item_removed(self, event: Event):
async with self.pool.acquire() as conn:
await conn.execute(
"""
UPDATE order_summaries
SET total_amount = total_amount - $2,
item_count = item_count - 1,
updated_at = NOW()
WHERE order_id = $1
""",
event.data['order_id'],
event.data['price'] * event.data['quantity']
)
async def _handle_shipped(self, event: Event):
async with self.pool.acquire() as conn:
await conn.execute(
"""
UPDATE order_summaries
SET status = 'shipped',
shipped_at = $2,
updated_at = NOW()
WHERE order_id = $1
""",
event.data['order_id'],
event.data['shipped_at']
)
async def _handle_completed(self, event: Event):
async with self.pool.acquire() as conn:
await conn.execute(
"""
UPDATE order_summaries
SET status = 'completed',
completed_at = $2,
updated_at = NOW()
WHERE order_id = $1
""",
event.data['order_id'],
event.data['completed_at']
)
async def _handle_cancelled(self, event: Event):
async with self.pool.acquire() as conn:
await conn.execute(
"""
UPDATE order_summaries
SET status = 'cancelled',
cancelled_at = $2,
cancellation_reason = $3,
updated_at = NOW()
WHERE order_id = $1
""",
event.data['order_id'],
event.data['cancelled_at'],
event.data.get('reason')
)Template 3: Elasticsearch Search Projection
from elasticsearch import AsyncElasticsearch
class ProductSearchProjection(Projection):
"""Projects product events to Elasticsearch for full-text search."""
def __init__(self, es_client: AsyncElasticsearch):
self.es = es_client
self.index = "products"
@property
def name(self) -> str:
return "product_search"
def handles(self) -> List[str]:
return [
"ProductCreated",
"ProductUpdated",
"ProductPriceChanged",
"ProductDeleted"
]
async def apply(self, event: Event) -> None:
if event.event_type == "ProductCreated":
await self.es.index(
index=self.index,
id=event.data['product_id'],
document={
'name': event.data['name'],
'description': event.data['description'],
'category': event.data['category'],
'price': event.data['price'],
'tags': event.data.get('tags', []),
'created_at': event.data['created_at']
}
)
elif event.event_type == "ProductUpdated":
await self.es.update(
index=self.index,
id=event.data['product_id'],
doc={
'name': event.data['name'],
'description': event.data['description'],
'category': event.data['category'],
'tags': event.data.get('tags', []),
'updated_at': event.data['updated_at']
}
)
elif event.event_type == "ProductPriceChanged":
await self.es.update(
index=self.index,
id=event.data['product_id'],
doc={
'price': event.data['new_price'],
'price_updated_at': event.data['changed_at']
}
)
elif event.event_type == "ProductDeleted":
await self.es.delete(
index=self.index,
id=event.data['product_id']
)Template 4: Aggregating Projection
class DailySalesProjection(Projection):
"""Aggregates sales data by day for reporting."""
def __init__(self, db_pool: asyncpg.Pool):
self.pool = db_pool
@property
def name(self) -> str:
return "daily_sales"
def handles(self) -> List[str]:
return ["OrderCompleted", "OrderRefunded"]
async def apply(self, event: Event) -> None:
if event.event_type == "OrderCompleted":
await self._increment_sales(event)
elif event.event_type == "OrderRefunded":
await self._decrement_sales(event)
async def _increment_sales(self, event: Event):
date = event.data['completed_at'][:10] # YYYY-MM-DD
async with self.pool.acquire() as conn:
await conn.execute(
"""
INSERT INTO daily_sales (date, total_orders, total_revenue, total_items)
VALUES ($1, 1, $2, $3)
ON CONFLICT (date) DO UPDATE SET
total_orders = daily_sales.total_orders + 1,
total_revenue = daily_sales.total_revenue + $2,
total_items = daily_sales.total_items + $3,
updated_at = NOW()
""",
date,
event.data['total_amount'],
event.data['item_count']
)
async def _decrement_sales(self, event: Event):
date = event.data['original_completed_at'][:10]
async with self.pool.acquire() as conn:
await conn.execute(
"""
UPDATE daily_sales SET
total_orders = total_orders - 1,
total_revenue = total_revenue - $2,
total_refunds = total_refunds + $2,
updated_at = NOW()
WHERE date = $1
""",
date,
event.data['refund_amount']
)Template 5: Multi-Table Projection
class CustomerActivityProjection(Projection):
"""Projects customer activity across multiple tables."""
def __init__(self, db_pool: asyncpg.Pool):
self.pool = db_pool
@property
def name(self) -> str:
return "customer_activity"
def handles(self) -> List[str]:
return [
"CustomerCreated",
"OrderCompleted",
"ReviewSubmitted",
"CustomerTierChanged"
]
async def apply(self, event: Event) -> None:
async with self.pool.acquire() as conn:
async with conn.transaction():
if event.event_type == "CustomerCreated":
# Insert into customers table
await conn.execute(
"""
INSERT INTO customers (customer_id, email, name, tier, created_at)
VALUES ($1, $2, $3, 'bronze', $4)
""",
event.data['customer_id'],
event.data['email'],
event.data['name'],
event.data['created_at']
)
# Initialize activity summary
await conn.execute(
"""
INSERT INTO customer_activity_summary
(customer_id, total_orders, total_spent, total_reviews)
VALUES ($1, 0, 0, 0)
""",
event.data['customer_id']
)
elif event.event_type == "OrderCompleted":
# Update activity summary
await conn.execute(
"""
UPDATE customer_activity_summary SET
total_orders = total_orders + 1,
total_spent = total_spent + $2,
last_order_at = $3
WHERE customer_id = $1
""",
event.data['customer_id'],
event.data['total_amount'],
event.data['completed_at']
)
# Insert into order history
await conn.execute(
"""
INSERT INTO customer_order_history
(customer_id, order_id, amount, completed_at)
VALUES ($1, $2, $3, $4)
""",
event.data['customer_id'],
event.data['order_id'],
event.data['total_amount'],
event.data['completed_at']
)
elif event.event_type == "ReviewSubmitted":
await conn.execute(
"""
UPDATE customer_activity_summary SET
total_reviews = total_reviews + 1,
last_review_at = $2
WHERE customer_id = $1
""",
event.data['customer_id'],
event.data['submitted_at']
)
elif event.event_type == "CustomerTierChanged":
await conn.execute(
"""
UPDATE customers SET tier = $2, updated_at = NOW()
WHERE customer_id = $1
""",
event.data['customer_id'],
event.data['new_tier']
)Related skills
FAQ
What does projection-patterns do?
Build read models and projections from event streams. Use when implementing CQRS read sides, building materialized views, or optimizing query performance in event-sourced systems.
When should I use projection-patterns?
Build read models and projections from event streams. Use when implementing CQRS read sides, building materialized views, or optimizing query performance in event-sourced systems.
Is projection-patterns safe to install?
Review the Security Audits panel on this page before installing in production.