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effect-ts效果 ts

Agent Skill

effect-ts 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

321

周安装

13

GitHub Stars

5

下载量

101
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:effect-ts(效果 ts)
来源仓库:https://github.com/teeverc/effect-ts
仓库路径:skills/effect-ts
安装命令:
npx skills add https://github.com/teeverc/effect-ts --skill effect-ts
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/teeverc/effect-ts --skill effect-ts

简介

effect-ts 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词快速定位候选结果时使用。

  • 适用于 Effect TS 相关功能、类型定义和使用示例查找等研究检索场景。
  • 通过关键词或任务场景输入,返回匹配的候选信息列表供进一步处理。
  • 安装命令:npx skills add https://github.com/teeverc/effect-ts --skill effect-ts。
  • 使用前请确认仓库维护状态及是否涉及文件读写或网络请求权限。

SKILL.md

Effect-TS

Overview

Provide workflows, patterns, and best practices for building Effect-based TypeScript programs, with focused references for errors, dependencies, resources, runtime execution, generators, schema, testing, platform modules, sink/stream processing, and Effect AI.

Primary docs and API sources:

For internal lookups, the effect-docs MCP can be used to search and fetch API references: https://github.com/tim-smart/effect-mcp.

Progressive Disclosure

  1. Start with references/docs-index.md for topic routing.
  2. Read one primary guide for the task.
  3. Read one adjacent guide only if needed (for cross-cutting concerns like testing, runtime, or observability).
  4. Avoid loading unrelated references.

Quick Triage

  • If it needs core Effect data types or combinators, open references/core-usage.md.
  • If it needs broader data-type choices (DateTime, BigDecimal, HashSet, Redacted), open references/data-types-advanced.md.
  • If it needs equality/order/hash semantics, open references/behavior-traits.md.
  • If the task is about error modeling or typed failures, open references/error-management.md.
  • If it needs error tooling (sandboxing, Cause, error-channel transforms), open references/error-tooling.md.
  • If it involves services/dependencies, open references/dependency-management.md.
  • If it involves layer construction or test wiring, open references/layer-patterns.md.
  • If it involves resource lifecycles, open references/resource-management.md.
  • If it involves running effects or runtime choice, open references/runtime-execution.md.
  • If it involves fibers or concurrency primitives, open references/concurrency.md.
  • If it involves interruption, supervision, or fiber refs, open references/concurrency-advanced.md.
  • If it involves schedules or repetition, open references/scheduling.md.
  • If it involves retries/backoff or schedule composition, open references/scheduling-retry.md.
  • If it involves streams, queues, pubsub, or STM, open references/streams-queues-stm.md.
  • If it involves HTTP clients or external APIs, open references/http-client.md.
  • If it involves HTTP servers or API definitions, open references/http-server.md.
  • If it involves request batching or data loaders, open references/request-resolver.md.
  • If it involves caching or memoization, open references/caching.md.
  • If it involves configuration or config providers, open references/configuration.md.
  • If it involves advanced config or redaction, open references/configuration-advanced.md.
  • If it involves logs, metrics, or tracing, open references/observability.md.
  • If it needs concrete logger/metrics/tracing setups or exporters, open references/observability-examples.md.
  • If it needs wiring of log/metric/trace layers, open references/observability-wiring.md.
  • If it needs sequential/branching readability, open references/generators.md.
  • If it needs runtime validation/decoding, open references/schema.md.
  • If it involves stream consumption patterns with reducers, open references/sink.md.
  • If it needs deterministic time in tests, open references/testing.md.
  • If it needs broader testing services, open references/testing-stack.md.
  • If it involves command/file/path/terminal/key-value modules, open references/platform-primitives.md.
  • If it involves LLM workflows, planning, or tool use via Effect AI, open references/ai.md.
  • If it involves bundle-size constrained runtimes, open references/micro.md.
  • If it involves migrating from Promise/async, open references/migration-async.md.
  • If it needs versioning or signature changes, open references/versioning.md.
  • If it hits common pitfalls or runtime errors, open references/troubleshooting.md.
  • If it needs result inspection or debugging, open references/exit-cause.md.
  • If it needs a docs-to-guide map from llms.txt, open references/docs-index.md.

Core Workflow

  1. Clarify boundaries and IO; keep core logic as Effect values.
  2. Choose style: use pipelines for simple composition; use Effect.gen for sequential logic.
  3. Model errors explicitly: type expected errors; treat defects as unexpected failures.
  4. Model dependencies with services, tags, and layers; keep interfaces clean of construction concerns.
  5. Manage resource lifecycles with Scope when opening/closing resources.
  6. Provide the environment via layers and run effects only at the program edge.
  7. For platform/infra code, keep side effects in dedicated adapters and expose typed services to domain code.
  8. For agent tasks, include a concise rationale for error, concurrency, and runtime choices.

Output Standards

  • Show imports and minimal runnable examples.
  • Prefer barrel imports (from "effect" / from "@effect/platform") over deep module paths.
  • When function-style composition is clearer, use pipe from effect.
  • Keep dependency graphs explicit (services, layers, context tags).
  • Include error channel types and call out expected vs defect errors.
  • Avoid running effects inside libraries; show runtime usage in entrypoints or tests.
  • Prefer examples that compile under current Effect major versions.

Agent Quality Checklist

  • State the target shape as Effect<A, E, R> when it helps design decisions.
  • Explicitly separate expected errors (E) from defects.
  • Identify where layers are provided and where run* is called.
  • For concurrent code, state bounded/unbounded behavior and shutdown strategy.
  • For boundary decoding, show Schema usage and where failures are handled.
  • For tests, note which test services are provided (TestContext, TestClock, live overrides).
  • For docs uncertainty, consult references/docs-index.md and source docs before finalizing APIs.

References

  • Start at references/docs-index.md to choose relevant guides quickly.
  • Use references/core-usage.md, references/error-management.md, and references/dependency-management.md as defaults for most code tasks.
  • Use platform/runtime references (references/platform-primitives.md, references/runtime-execution.md) for boundary and integration work.
  • Use testing/diagnostic references (references/testing.md, references/testing-stack.md, references/troubleshooting.md) for verification and debugging.

适合场景

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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

OpenCode

28.58%
按下载量换算29

Codex

25.14%
按下载量换算25

Claude Code

17.75%
按下载量换算18

amp

15.25%
按下载量换算15

droid

8.22%
按下载量换算8

windsurf

3.39%
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

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/teeverc/effect-ts --skill effect-ts;npx skills add teeverc/effect-ts --skill "effect-ts" 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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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