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Agent Skill · 研究检索

effect-ts(效果 ts)

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。

effect-ts 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为执行命令;许可证为 MIT,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 63,093。

总安装 321周安装 13GitHub Stars 5下载 101核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

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

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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。

来源仓库内路径:skills/effect-ts

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/teeverc/effect-ts --skill effect-ts;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

effect-ts 怎么安装?

在终端执行 npx skills add https://github.com/teeverc/effect-ts --skill effect-ts。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

effect-ts 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

effect-ts 需要什么权限?

权限级别是执行命令。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。

effect-ts 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

effect-ts 用的人多吗?

公开数据是累计安装 321 次,近一周安装 13 次,下载 101 次,GitHub 5 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

effect-ts 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
effect-ts

效果 ts · 本页

3215执行命令MIT通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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.

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。

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