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sinkssinks 搜索

Agent Skill

sinks 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

238

周安装

10

GitHub Stars

7

下载量

83
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

3

许可证

MIT

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:sinks(sinks 搜索)
来源仓库:https://github.com/andrueandersoncs/claude-skill-effect-ts
仓库路径:skills/sinks
安装命令:
npx skills add https://github.com/andrueandersoncs/claude-skill-effect-ts --skill sinks
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/andrueandersoncs/claude-skill-effect-ts --skill sinks

简介

用于查找、检索和筛选 sinks 相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词快速定位候选结果。
  • 可结合来源仓库和 README 核验具体用法,支持任务场景匹配。
  • 安装前建议确认权限范围和维护状态,避免触发不必要的网络操作。
  • 注意结果需人工复核,确保与实际需求一致。

SKILL.md

Sinks in Effect

Overview

A Sink is a consumer of stream elements that produces a result:

Sink<A, In, L, E, R>;
// A  - Result type (what sink produces)
// In - Input element type (what sink consumes)
// L  - Leftover type (unconsumed elements)
// E  - Error type
// R  - Required environment

Sinks are the counterpart to Streams - while Streams produce data, Sinks consume it.

Built-in Sinks

Collecting Elements

import { Stream, Sink } from "effect";

const all = yield * Stream.make(1, 2, 3, 4, 5).pipe(Stream.run(Sink.collectAll()));

const array = yield * Stream.make(1, 2, 3).pipe(Stream.run(Sink.collectAllToArray()));

const firstThree = yield * Stream.range(1, 100).pipe(Stream.run(Sink.collectAllN(3)));

const whileSmall = yield * Stream.iterate(1, (n) => n + 1).pipe(Stream.run(Sink.collectAllWhile((n) => n < 5)));

Aggregation Sinks

const total = yield * Stream.make(1, 2, 3, 4, 5).pipe(Stream.run(Sink.sum));

const count = yield * Stream.make("a", "b", "c").pipe(Stream.run(Sink.count));

const first = yield * Stream.make(1, 2, 3).pipe(Stream.run(Sink.head));

const last = yield * Stream.make(1, 2, 3).pipe(Stream.run(Sink.last));

const taken = yield * Stream.make(1, 2, 3, 4, 5).pipe(Stream.run(Sink.take(3)));

Folding Sinks

const product = yield * Stream.make(1, 2, 3, 4, 5).pipe(Stream.run(Sink.foldLeft(1, (acc, n) => acc * n)));

const sumUntil100 =
  yield *
  Stream.iterate(1, (n) => n + 1).pipe(
    Stream.run(
      Sink.fold(
        0,
        (sum) => sum < 100,
        (sum, n) => sum + n,
      ),
    ),
  );

const foldWithLog = Sink.foldEffect(
  0,
  (sum) => sum < 100,
  (sum, n) =>
    Effect.gen(function* () {
      yield* Effect.log(`Adding ${n} to ${sum}`);
      return sum + n;
    }),
);

Side Effect Sinks

yield * Stream.make(1, 2, 3).pipe(Stream.run(Sink.forEach((n) => Effect.log(`Got: ${n}`))));

yield * Stream.make(1, 2, 3).pipe(Stream.run(Sink.drain));

Creating Custom Sinks

Sink.make

const maxSink = Sink.make<number, number, never, never, never>(
  // Initial state
  Number.NEGATIVE_INFINITY,
  // Process each element
  (max, n) => (n > max ? n : max),
  // Extract result
  (max) => max,
);

const max = yield * Stream.make(3, 1, 4, 1, 5, 9).pipe(Stream.run(maxSink)); // 9

Sink.fromEffect

const logAndReturn = <A>(label: string) =>
  Sink.fromEffect(
    Effect.gen(function* () {
      yield* Effect.log(`Starting ${label}`);
      return [] as A[];
    }),
  );

Sink.fromPush

For more control over the sink lifecycle:

const customSink = Sink.fromPush<number, number, never, never>((input) =>
  Effect.sync(() =>
    Option.match(input, {
      onNone: () => Either.left(finalResult), // Stream ended
      onSome: (chunk) => {
        // Process chunk
        // Return Either.right to continue, Either.left to finish
        return Either.right(undefined);
      },
    }),
  ),
);

Sink Operations

Transforming Sinks

const doubledSum = Sink.sum.pipe(Sink.map((sum) => sum * 2));

const lengthSum = Sink.sum.pipe(Sink.contramap((s: string) => s.length));

const processStrings = Sink.sum.pipe(
  Sink.dimap(
    (s: string) => s.length,
    (sum) => `Total length: ${sum}`,
  ),
);

Combining Sinks

const sumAndCount = Sink.zip(Sink.sum, Sink.count);

const [sum, count] = yield * Stream.make(1, 2, 3, 4, 5).pipe(Stream.run(sumAndCount));

const firstOrSum = Sink.race(Sink.head, Sink.sum.pipe(Sink.map(Option.some)));

Filtering

const sumPositive = Sink.sum.pipe(Sink.filterInput((n: number) => n > 0));

const result = yield * Stream.make(-1, 2, -3, 4, -5).pipe(Stream.run(sumPositive));

Leftovers

Sinks can leave unconsumed elements:

const takeThree = Sink.take<number>(3);

const [first, rest] =
  yield * Stream.make(1, 2, 3, 4, 5).pipe(Stream.run(Sink.take<number>(3).pipe(Sink.collectLeftover)));

Sink Concurrency

Parallel Sinks

const parallelSinks = Sink.zipPar(Sink.sum, Sink.count, Sink.collectAll<number>());

const [sum, count, all] = yield * Stream.make(1, 2, 3, 4, 5).pipe(Stream.run(parallelSinks));

Chunked Processing

const chunkedSum = Sink.foldChunks(
  0,
  () => true,
  (sum, chunk: Chunk.Chunk<number>) => sum + Chunk.reduce(chunk, 0, (a, b) => a + b),
);

Common Patterns

Batched Database Insert

const batchInsert = (batchSize: number) =>
  Sink.collectAllN<Record>(batchSize).pipe(
    Sink.mapEffect((batch) => Effect.tryPromise(() => db.insertMany(Chunk.toArray(batch)))),
  );

yield * recordStream.pipe(Stream.run(batchInsert(100)));

Aggregation Pipeline

const stats = Sink.zip(Sink.sum, Sink.zip(Sink.count, Sink.zip(Sink.head, Sink.last))).pipe(
  Sink.map(([sum, [count, [first, last]]]) => ({
    sum,
    count,
    average: count > 0 ? sum / count : 0,
    first,
    last,
  })),
);

Write to File

const writeToFile = (path: string) =>
  Sink.forEach((line: string) =>
    Effect.gen(function* () {
      const fs = yield* FileSystem;
      yield* fs.appendFileString(path, line + "\n");
    }),
  );

Best Practices

  1. Use built-in sinks when possible - Optimized and tested
  2. Combine sinks with zip - Run multiple aggregations in one pass
  3. Use foldChunks for efficiency - Process chunks, not elements
  4. Handle leftovers - Consider unconsumed elements
  5. Prefer Sink over forEach - More composable

Additional Resources

For comprehensive sink documentation, consult ${CLAUDE_PLUGIN_ROOT}/references/llms-full.txt.

Search for these sections:

  • "Creating Sinks" for sink construction
  • "Sink Operations" for transformations
  • "Sink Concurrency" for parallel processing
  • "Leftovers" for handling unconsumed elements

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

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

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

补充不同宿主或平台的使用分布数据

能力 5

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

Claude Code

28.78%
按下载量换算24

OpenCode

21.51%
按下载量换算18

Gemini CLI

16.77%
按下载量换算14

Antigravity

13.83%
按下载量换算11

windsurf

8.33%
按下载量换算7

Codex

3.21%
按下载量换算3

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。

来源信息

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