context-witness
About
This skill helps developers choose between Context Tag witness and capability patterns for dependency injection based on coupling trade-offs. It demonstrates how to move from hard coupling (fields in schema) to soft coupling (injected dependencies) to improve flexibility. Use it when designing dependency injection strategies to balance type safety with loose coupling.
Quick Install
Claude Code
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Documentation
Context Witness Pattern
Choose between witness (existence) and capability (behavior) patterns for Context Tags.
Coupling: Hard vs Soft
Some coupling is necessary and good - but move it from hard to soft coupling.
Hard Coupling (Schema)
Field exists in the schema - tightly coupled to domain model:
// ❌ HARD COUPLING - Serial is part of the schema
export const PaymentIntent = Schema.Struct({
id: Schema.String,
serial: Schema.String, // In schema = hard coupled
amount: Schema.BigInt
})
// Every PaymentIntent MUST have a serial
// Serialization/validation requires serial
// Cannot create without providing serial
// Schema change needed to remove/change serial
Soft Coupling (Witness)
Field removed from schema, only injected in code:
// ✅ SOFT COUPLING - Serial not in schema
export const PaymentIntent = Schema.Struct({
id: Schema.String,
amount: Schema.BigInt
// No serial field!
})
// Serial is a witness - required but injected via Context
class Serial extends Context.Tag("Serial")<Serial, string>() {}
const createPaymentIntent = (amount: bigint) =>
Effect.gen(function* () {
const serial = yield* Serial // Injected from context
// Use serial in business logic, logging, etc.
// but it's not part of the persisted data
yield* Logger.info(`Creating payment intent ${serial}`)
return PaymentIntent.make({ id: generateId(), amount })
})
// Type: Effect<PaymentIntent, never, Serial>
Key insight: schema (hard coupling) => witness (soft coupling)
By removing the field from the schema and injecting it only where needed, you:
- Keep domain models minimal
- Avoid unnecessary persistence
- Easy to test (provide test serial)
- Easy to remove/change (just change injection)
- Explicit dependencies in type signature
When to use witnesses:
- Correlation IDs (for tracing, not persistence)
- Request IDs (for logging, not data)
- Transaction contexts (for coordination, not storage)
- Tenant/Region markers (for routing, not schema)
Witness: Existence Only
Use when you only need to know something exists in the environment:
// Witness - a serial number exists
export class Serial extends Context.Tag("Serial")<Serial, string>() {}
const createPaymentIntent = Effect.gen(function* () {
const serial = yield* Serial // Pull from environment
return PaymentIntent.make({ serial, ...other })
})
// Type: Effect<PaymentIntent, never, Serial>
Capability: Behavior
Use when you need operations:
// Capability - can generate/validate
export class SerialService extends Context.Tag("SerialService")<
SerialService,
{
readonly next: () => string
readonly validate: (s: string) => boolean
}
>() {}
const createPaymentIntent = Effect.gen(function* () {
const svc = yield* SerialService
const serial = svc.next() // Behavior
return PaymentIntent.make({ serial, ...other })
})
// Type: Effect<PaymentIntent, never, SerialService>
Decision Framework
| Need | Pattern |
|---|---|
| Just presence/value | Witness |
| Operations/generation | Capability |
| Precondition marker | Witness |
| Side effects | Capability |
| Multiple implementations | Capability |
| Mocking behavior | Capability |
| Correlation ID | Witness |
| Transaction context | Witness |
| Logger | Capability |
| Database | Capability |
When to Use Witness
Good fits:
- Request ID - must exist for tracing
- Transaction context - must be established
- Tenant/Region - required for data boundary
- Pre-validated tokens - already verified
When to Use Capability
Good fits:
- Serial generation - create/validate operations
- Clock -
now()operation - Logger - structured logging methods
- Database - query/transact operations
- HTTP clients - fetch/post operations
Testing Implications
Witnesses are trivial to provide:
const test = myProgram.pipe(
Effect.provideService(Serial, "test-serial-123")
)
Capabilities need implementation:
const test = myProgram.pipe(
Effect.provideService(SerialService, {
next: () => "test-serial-123",
validate: () => true
})
)
Coupling Strategy
Rule of thumb: Remove non-essential fields from schema, inject via witness instead.
Ask yourself: Does this need to be persisted/serialized?
- No → Remove from schema, inject via witness
- Yes → Keep in schema
// ✅ Domain model - only persisted data
export const Order = Schema.Struct({
id: Schema.String,
items: Schema.Array(LineItem),
total: Schema.BigInt
// No correlationId - not persisted!
// No timestamp - derived from system!
})
// Witnesses for runtime context
class CorrelationId extends Context.Tag("CorrelationId")<CorrelationId, string>() {}
class RequestId extends Context.Tag("RequestId")<RequestId, string>() {}
// Use in code, not in data
const createOrder = (items: Array<LineItem>) =>
Effect.gen(function* () {
const correlationId = yield* CorrelationId // For tracing
const requestId = yield* RequestId // For logging
const clock = yield* Clock // For timestamp
yield* Logger.info({
message: "Creating order",
correlationId, // Used for tracing
requestId, // Used for logging
timestamp: Clock.currentTimeMillis(clock)
})
// Data only contains what's persisted
return Order.make({
id: generateId(),
items,
total: calculateTotal(items)
})
})
// Type: Effect<Order, never, CorrelationId | RequestId | Clock>
Benefits:
- Minimal schemas (only persisted data)
- Context values available when needed
- Easy to test with different context
- Can add/remove context without schema changes
- Explicit dependencies in type signatures
Choose witness for simplicity, capability for flexibility.
GitHub Repository
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