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database-driver-design数据库驱动设计

Agent Skill

用于辅助数据库表结构、查询语句、迁移脚本和数据维护任务。它适合让 Agent 分析 schema、编写 SQL、排查查询问题、整理索引或生成迁移建议。使用时需要明确数据库类型、连接环境和目标表,区分只读分析与写入变更;涉及删除、更新、迁移和批量导入时,应优先 dry-run、备份或事务保护,避免误操作。

总安装

514

周安装

21

GitHub Stars

56

下载量

166
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:database-driver-design(数据库驱动设计)
来源仓库:https://github.com/joannis/claude-skills
仓库路径:skills/database-driver-design
安装命令:
npx skills add https://github.com/joannis/claude-skills --skill database-driver-design
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/joannis/claude-skills --skill database-driver-design

简介

指导 Swift 语言中高质量数据库客户端库的开发实现。

  • 涵盖 wire protocol 处理、连接池管理和类型安全 API 设计。
  • 强调参数化查询防注入、并发模型集成及错误处理机制。
  • 基于 valkey-swift 和 postgres-nio 等开源项目提炼工程模式。
  • database-driver-design 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Database Driver Design

This skill provides expert guidance on building production-quality database client libraries in Swift, covering wire protocol implementation, connection management, type-safe APIs, and integration with Swift Concurrency. Patterns are derived from exemplary implementations: valkey-swift and postgres-nio.

Agent Behavior Contract (Follow These Rules)

  1. Prefer parameterized queries - Never concatenate user input into SQL/command strings
  2. Use string interpolation for safety - Implement ExpressibleByStringInterpolation to convert values to bindings
  3. Design commands as types - Each command/query should be a struct with associated response type
  4. Implement state machines for protocols - Complex connection lifecycles need explicit state transitions
  5. Support backpressure - Row/result streaming must respect consumer demand
  6. Align actor executors - Use unownedExecutor to align with NIO event loops
  7. Pool connections properly - Implement keep-alive, idle timeout, and graceful shutdown

Core Patterns

Command as Type Pattern

Define commands as types with associated response types for compile-time safety:

public protocol DatabaseCommand: Sendable, Hashable {
    associatedtype Response: Decodable
    static var name: String { get }
    func encode(into encoder: inout CommandEncoder)
}

public struct GET: DatabaseCommand {
    public typealias Response = String?
    public static var name: String { "GET" }
    public let key: String

    public func encode(into encoder: inout CommandEncoder) {
        encoder.encode(Self.name, key)
    }
}

SQL Injection Prevention via String Interpolation

public struct Query: ExpressibleByStringInterpolation {
    public var sql: String
    public var bindings: Bindings

    public struct StringInterpolation: StringInterpolationProtocol {
        var sql: String = ""
        var bindings: Bindings = Bindings()

        public mutating func appendLiteral(_ literal: String) {
            sql.append(literal)
        }

        public mutating func appendInterpolation<T: Encodable>(_ value: T) {
            bindings.append(value)
            sql.append("$\(bindings.count)")
        }
    }
}

// Usage: let query: Query = "SELECT * FROM users WHERE id = \(userId)"
// Result: sql = "SELECT * FROM users WHERE id = $1", bindings = [userId]

Actor with NIO Executor Alignment

Eliminate context switches by aligning actor executor with NIO event loop:

public final actor Connection: Sendable {
    nonisolated public let unownedExecutor: UnownedSerialExecutor

    init(channel: any Channel) {
        self.unownedExecutor = channel.eventLoop.executor.asUnownedSerialExecutor()
    }
}

State Machine with Actions Pattern

Manage complex protocol state with explicit transitions and actions:

struct ConnectionStateMachine {
    enum State {
        case idle
        case executing(QueryStateMachine)
        case closing
        case closed
        case modifying // Prevents COW during mutations
    }

    enum Action {
        case sendMessage(Message)
        case forwardResult(Result)
        case closeConnection
        case none
    }

    private var state: State = .idle

    mutating func handle(_ message: Message) -> Action {
        switch (state, message) {
        case (.idle, .query(let q)):
            state = .executing(QueryStateMachine(q))
            return .sendMessage(.parse(q))
        // ... other transitions
        }
    }
}

Length-Prefixed Binary Encoding

Write length-prefixed data with placeholder and backfill:

extension Encodable {
    func encodeRaw(into buffer: inout ByteBuffer) throws {
        // Write placeholder for length (4 bytes for Int32)
        let lengthIndex = buffer.writerIndex
        buffer.writeInteger(Int32(0))

        // Record position before encoding
        let startIndex = buffer.writerIndex

        // Encode the actual value
        try self.encode(into: &buffer)

        // Calculate and write actual length
        let length = buffer.writerIndex - startIndex
        buffer.setInteger(Int32(length), at: lengthIndex)
    }
}

Protocol Hierarchy for Encoding/Decoding

Design tiered protocols for different encoding guarantees:

// Base: runtime-determined type, may throw
public protocol ThrowingDynamicTypeEncodable: Sendable {
    func encode(into byteBuffer: inout ByteBuffer) throws
    var dataType: DataType { get }
}

// Non-throwing variant
public protocol DynamicTypeEncodable: ThrowingDynamicTypeEncodable {
    func encode(into byteBuffer: inout ByteBuffer)
}

// Static type info known at compile time
public protocol StaticTypeEncodable: ThrowingDynamicTypeEncodable {
    static var dataType: DataType { get }
}

// Non-throwing + static type info (most efficient)
public protocol NonThrowingEncodable: StaticTypeEncodable, DynamicTypeEncodable {}

Variadic Generic Row Decoding

Decode multiple columns type-safely using parameter packs:

extension Row {
    func decode<each T: Decodable>(
        _ types: (repeat each T).Type
    ) throws -> (repeat each T) {
        var index = 0
        return (repeat try decodeColumn((each T).self, at: &index))
    }
}

// Usage: let (id, name, email) = try row.decode((Int.self, String.self, String.self))

Backpressure-Aware Streaming

Implement adaptive buffer strategy for result streaming:

struct AdaptiveBuffer: BackPressureStrategy {
    var lowWatermark: Int
    var highWatermark: Int
    var currentTarget: Int

    mutating func didYield(bufferDepth: Int) -> Bool {
        // Shrink target if buffer too deep
        if bufferDepth > currentTarget * 2 {
            currentTarget = max(lowWatermark, currentTarget / 2)
        }
        return bufferDepth < currentTarget
    }

    mutating func didConsume(bufferDepth: Int) -> Bool {
        // Grow target if buffer drains completely
        if bufferDepth == 0 {
            currentTarget = min(highWatermark, currentTarget * 2)
        }
        return bufferDepth < currentTarget
    }
}

Connection Pool Integration

Conform connections to pool protocols:

extension Connection: PooledConnection {
    public typealias ConnectionID = Int
}

struct KeepAliveBehavior: ConnectionKeepAliveBehavior {
    typealias Connection = Connection

    let frequency: Duration

    func runKeepAlive(for connection: Connection) async throws {
        _ = try await connection.ping()
    }
}

final class ClientMetrics: ConnectionPoolObservabilityDelegate {
    func connectionCreated(id: Int) { /* metrics */ }
    func connectionLeased(id: Int) { /* metrics */ }
    func connectionReleased(id: Int) { /* metrics */ }
    func connectionClosed(id: Int) { /* metrics */ }
}

Depth-Limited Parsing

Prevent stack overflow with nested structures:

mutating func parseToken(maxDepth: Int = 100) throws -> Token {
    guard maxDepth > 0 else {
        throw ParsingError.tooDeeplyNested
    }

    switch tokenType {
    case .array:
        var elements: [Token] = []
        for _ in 0..<count {
            elements.append(try parseToken(maxDepth: maxDepth - 1))
        }
        return .array(elements)
    // ... other cases
    }
}

Quick Decision Tree

  1. Implementing wire protocol encoding/decoding?

- Use length-prefixed messages with placeholder + backfill - Define protocol tokens as enums with associated values - Implement depth limits for nested structures

  1. Designing type-safe query API?

- Use ExpressibleByStringInterpolation for injection prevention - Create Encodable/Decodable protocol hierarchies for type coercion - Use variadic generics for multi-column row decoding

  1. Managing connections?

- Use actors with NIO executor alignment - Implement hierarchical state machines - Support cancellation via request IDs

  1. Implementing connection pooling?

- Conform to PooledConnection protocol - Implement keep-alive behavior - Track metrics via observability delegate

Triage-First Playbook

  • "SQL Injection vulnerability"

- Implement ExpressibleByStringInterpolation on query type - Convert interpolated values to $1, $2... parameter placeholders

  • "Type mismatch when decoding results"

- Define Decodable protocol with typed throws - Wrap errors with column/cell context

  • "Connection state corruption"

- Use hierarchical state machines with explicit transitions - Add .modifying sentinel to prevent COW issues

  • "Backpressure not working"

- Implement adaptive buffer strategy - Signal demand through data source protocol

Best Practices Summary

  1. Commands/Queries as types - Each operation is a struct with associated response type
  2. String interpolation for safety - Prevent injection by design
  3. Protocol hierarchies for encoding - Different guarantees (throwing, static types, etc.)
  4. Length-prefixed wire formats - Write placeholder, encode, backfill length
  5. Hierarchical state machines - Compose child machines for complex protocols
  6. Adaptive backpressure - Dynamically adjust buffer targets based on consumer rate
  7. Actor + NIO alignment - Eliminate context switches with unownedExecutor
  8. Cell/Row wrappers - Rich metadata for better error messages
  9. Prepared statement caching - Deduplicate concurrent preparations
  10. Graceful shutdown - Drain pending operations before closing

Key Libraries for Reference

  • valkey-swift (github.com/valkey-io/valkey-swift) - Excellent RESP3 protocol, cluster support, pub/sub
  • postgres-nio (github.com/vapor/postgres-nio) - Excellent query safety, type coercion, state machines

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

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能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.08%
按下载量换算60

Claude

31.32%
按下载量换算52

Cursor

19.83%
按下载量换算33

Gemini CLI

9.58%
按下载量换算16

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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