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concurrencyconcurrency 搜索

Agent Skill

concurrency 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

264

周安装

11

GitHub Stars

7

下载量

88
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:concurrency(concurrency 搜索)
来源仓库:https://github.com/andrueandersoncs/claude-skill-effect-ts
仓库路径:skills/concurrency
安装命令:
npx skills add https://github.com/andrueandersoncs/claude-skill-effect-ts --skill concurrency
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 concurrency

简介

介绍 Effect 框架的轻量级纤维并发模型和安全中断机制。

  • 提供结构化并发、队列和信号量等并发原语的使用方法。
  • 支持并行执行控制和资源清理的完整性保障。
  • 安装前需确认权限范围和维护状态,注意是否涉及联网、命令执行或文件读写操作。
  • concurrency 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Concurrency in Effect

Overview

Effect provides lightweight fiber-based concurrency:

  • Fibers - Lightweight threads managed by Effect runtime
  • Structured concurrency - Parent fibers supervise children
  • Safe interruption - Clean cancellation with resource cleanup
  • Concurrent primitives - Queue, Deferred, Semaphore, PubSub

Basic Parallel Execution

Effect.all with Concurrency

import { Effect } from "effect";

const results = yield * Effect.all([fetchUser(1), fetchUser(2), fetchUser(3)], { concurrency: "unbounded" });

const results = yield * Effect.all(tasks, { concurrency: 5 });

const results = yield * Effect.all(tasks);

Effect.forEach with Concurrency

const users = yield * Effect.forEach(userIds, (id) => fetchUser(id), { concurrency: 10 });

Fibers

Creating Fibers with fork

const program = Effect.gen(function* () {
  const fiber = yield* Effect.fork(longRunningTask);

  yield* doOtherWork();

  const result = yield* Fiber.join(fiber);
});

Fork Variants

const fiber = yield * Effect.fork(task);

const fiber = yield * Effect.forkDaemon(task);

const fiber = yield * Effect.forkIn(scope)(task);

const fiber = yield * Effect.forkWithErrorHandler(task, onError);

Fiber Operations

import { Fiber } from "effect";

const result = yield * Fiber.join(fiber);

const exit = yield * Fiber.await(fiber);

yield * Fiber.interrupt(fiber);

const maybeResult = yield * Fiber.poll(fiber);

Racing

Effect.race - First to Complete

const fastest = yield * Effect.race(fetchFromServer1(), fetchFromServer2());

Effect.raceAll - Race Many

const fastest = yield * Effect.raceAll([fetchFromCDN1(), fetchFromCDN2(), fetchFromCDN3()]);

Effect.raceFirst - Include Failures

const first = yield * Effect.raceFirst(task1, task2);

Deferred - One-Time Promise

import { Deferred } from "effect";

const program = Effect.gen(function* () {
  const deferred = yield* Deferred.make<string, never>();

  const fiber = yield* Effect.fork(
    Effect.gen(function* () {
      const value = yield* Deferred.await(deferred);
      yield* Effect.log(`Got: ${value}`);
    }),
  );

  yield* Deferred.succeed(deferred, "Hello!");

  yield* Fiber.join(fiber);
});

Queue - Concurrent Queue

import { Queue } from "effect";

const program = Effect.gen(function* () {
  const queue = yield* Queue.bounded<number>(100);

  yield* Effect.fork(Effect.forEach([1, 2, 3, 4, 5], (n) => Queue.offer(queue, n)));

  const items = yield* Effect.forEach(Array.from({ length: 5 }), () => Queue.take(queue));
});

Queue Variants

const bounded = yield * Queue.bounded<number>(100);

const unbounded = yield * Queue.unbounded<number>();

const dropping = yield * Queue.dropping<number>(100);

const sliding = yield * Queue.sliding<number>(100);

PubSub - Publish/Subscribe

import { PubSub } from "effect";

const program = Effect.gen(function* () {
  const pubsub = yield* PubSub.bounded<string>(100);

  const sub1 = yield* PubSub.subscribe(pubsub);
  const sub2 = yield* PubSub.subscribe(pubsub);

  yield* PubSub.publish(pubsub, "Hello!");

  const msg1 = yield* Queue.take(sub1);
  const msg2 = yield* Queue.take(sub2);
});

Semaphore - Limit Concurrency

import { Effect } from "effect";

const program = Effect.gen(function* () {
  const semaphore = yield* Effect.makeSemaphore(3);

  yield* Effect.forEach(tasks, (task) => semaphore.withPermits(1)(task), { concurrency: "unbounded" });
});

Latch - Coordination Point

import { Latch } from "effect";

const program = Effect.gen(function* () {
  const latch = yield* Latch.make(false);

  yield* Effect.fork(
    Effect.forEach(
      workers,
      (worker) =>
        Effect.gen(function* () {
          yield* Latch.await(latch);
          yield* worker.start();
        }),
      { concurrency: "unbounded" },
    ),
  );

  yield* Latch.open(latch);
});

Interruption

Interrupting Fibers

const fiber = yield * Effect.fork(longTask);

yield * Fiber.interrupt(fiber);

Uninterruptible Regions

const critical = Effect.uninterruptible(
  Effect.gen(function* () {
    yield* beginTransaction();
    yield* performOperations();
    yield* commitTransaction();
  }),
);

Interruptible Within Uninterruptible

const program = Effect.uninterruptible(
  Effect.gen(function* () {
    yield* criticalSetup();

    // This part can be interrupted
    yield* Effect.interruptible(longOperation);

    yield* criticalTeardown();
  }),
);

Supervision

Structured concurrency ensures child fibers are managed:

const parent = Effect.gen(function* () {
  const child1 = yield* Effect.fork(task1);
  const child2 = yield* Effect.fork(task2);

  // If parent fails/interrupts, children are interrupted
  yield* failingOperation();
});
// child1 and child2 automatically interrupted

Daemon Fibers

Escape supervision with daemon:

const daemon = yield * Effect.forkDaemon(backgroundTask);

Common Patterns

Timeout with Fallback

const withTimeout = task.pipe(Effect.timeout("5 seconds"), Effect.map(Option.getOrElse(() => defaultValue)));

Worker Pool

const workerPool = Effect.gen(function* () {
  const semaphore = yield* Effect.makeSemaphore(numWorkers);

  return (task: Effect.Effect<A>) => semaphore.withPermits(1)(task);
});

Parallel with Error Collection

const results =
  yield *
  Effect.all(tasks, {
    concurrency: "unbounded",
    mode: "either", // Collect all results
  });

Best Practices

  1. Use Effect.all concurrency for simple parallelism
  2. Use Semaphore to limit concurrent operations
  3. Prefer structured concurrency over daemon fibers
  4. Handle interruption in long-running effects
  5. Use Queue for producer/consumer patterns
  6. Use Deferred for one-time coordination

Additional Resources

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

Search for these sections:

  • "Fibers" for fiber management
  • "Basic Concurrency" for parallel execution
  • "Deferred" for synchronization primitives
  • "Queue" for concurrent queues
  • "PubSub" for publish/subscribe
  • "Semaphore" for concurrency limiting

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

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

28.99%
按下载量换算26

OpenCode

25.43%
按下载量换算22

Gemini CLI

17.02%
按下载量换算15

Antigravity

13.57%
按下载量换算12

windsurf

8.88%
按下载量换算8

Codex

3.48%
按下载量换算3

安全审计

暂无安全审计结果可展示。

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。

来源信息

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