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Agent Skill · 研究检索

coding-effectively(有效编码)

coding-effectively 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。

coding-effectively 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;许可证信息还不明确,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 57,766。

总安装 424周安装 17GitHub Stars 176下载 137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
unknown

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:coding-effectively(有效编码)
来源仓库:https://github.com/ed3dai/ed3d-plugins
仓库路径:skills/coding-effectively
安装命令:
npx skills add https://github.com/ed3dai/ed3d-plugins --skill coding-effectively
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/ed3dai/ed3d-plugins --skill coding-effectively

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。

coding-effectively 整合功能编程范式、防御性分层验证与属性驱动测试等高效编码原则。推荐 TypeScript、React 与 PostgreSQL 专项子技能,按需组合使用以提升特定领域产出质量。强调 YAGNI 原则与简洁实现,反对过度抽象与隐式耦合,优先选择最直白解决方案。

建议结合 property-based testing 验证序列化与纯函数逻辑,确保边界条件全覆盖。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/coding-effectively

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/ed3dai/ed3d-plugins --skill coding-effectively;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

coding-effectively 怎么安装?

在终端执行 npx skills add https://github.com/ed3dai/ed3d-plugins --skill coding-effectively。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

coding-effectively 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。

coding-effectively 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/ed3dai/ed3d-plugins --skill coding-effectively 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。

coding-effectively 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

coding-effectively 用的人多吗?

公开数据是累计安装 424 次,近一周安装 17 次,下载 137 次,GitHub 176 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。

coding-effectively 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。
  • 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。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 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
coding-effectively

有效编码 · 本页

424176执行命令未明确通过

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

Coding Effectively

Required Sub-Skills

ALWAYS REQUIRED:

  • howto-functional-vs-imperative - Separate pure logic from side effects
  • defense-in-depth - Validate at every layer data passes through

CONDITIONAL: Use these sub-skills when applicable:

  • howto-code-in-typescript - TypeScript code
  • howto-develop-with-postgres - PostgreSQL database code
  • programming-in-react - React frontend code
  • writing-good-tests - Writing or reviewing tests
  • property-based-testing - Tests for serialization, validation, normalization, pure functions

Property-Driven Design

When designing features, think about properties upfront. This surfaces design gaps early.

Discovery questions:

QuestionProperty TypeExample
Does it have an inverse operation?Roundtripdecode(encode(x)) == x
Is applying it twice the same as once?Idempotencef(f(x)) == f(x)
What quantities are preserved?InvariantsLength, sum, count unchanged
Is order of arguments irrelevant?Commutativityf(a, b) == f(b, a)
Can operations be regrouped?Associativityf(f(a,b), c) == f(a, f(b,c))
Is there a neutral element?Identityf(x, 0) == x
Is there a reference implementation?Oraclenew(x) == old(x)
Can output be easily verified?Easy to verifyis_sorted(sort(x))

Common design questions these reveal:

  • "What about deleted/deactivated entities?"
  • "Case-sensitive or not?"
  • "Stable sort or not? Tie-breaking rules?"
  • "Which algorithm? Configurable?"

Surface these during design, not during debugging.

Core Engineering Principles

Correctness Over Convenience

Model the full error space. No shortcuts.

  • Handle all edge cases: race conditions, timing issues, partial failures
  • Use the type system to encode correctness constraints
  • Prefer compile-time guarantees over runtime checks where possible
  • When uncertain, explore and iterate rather than assume

Don't:

  • Simplify error handling to save time
  • Ignore edge cases because "they probably won't happen"
  • Use any or equivalent to bypass type checking

Error Handling Philosophy

Two-tier model:

  1. User-facing errors: Semantic exit codes, rich diagnostics, actionable messages
  2. Internal errors: Programming errors that may panic or use internal types

Error message format: Lowercase sentence fragments for "failed to {message}".

Good: failed to connect to database: connection refused
Bad:  Failed to Connect to Database: Connection Refused

Good: invalid configuration: missing required field 'apiKey'
Bad:  Invalid Configuration: Missing Required Field 'apiKey'

Lowercase fragments compose naturally: "operation failed: " + error.message reads correctly.

Pragmatic Incrementalism

  • Prefer specific, composable logic over abstract frameworks
  • Evolve design incrementally rather than perfect upfront architecture
  • Don't build for hypothetical future requirements
  • Document design decisions and trade-offs when making non-obvious choices

The rule of three applies to abstraction: Don't abstract until you've seen the pattern three times. Three similar lines of code is better than a premature abstraction.

File Organization

Descriptive File Names Over Catch-All Files

Name files by what they contain, not by generic categories.

Don't create:

  • utils.ts - Becomes a dumping ground for unrelated functions
  • helpers.ts - Same problem
  • common.ts - What isn't common?
  • misc.ts - Actively unhelpful

Do create:

  • string-formatting.ts - String manipulation utilities
  • date-arithmetic.ts - Date calculations
  • api-error-handling.ts - API error utilities
  • user-validation.ts - User input validation

Why this matters:

  • Discoverability: Developers find code by scanning file names
  • Cohesion: Related code stays together
  • Prevents bloat: Hard to add unrelated code to string-formatting.ts
  • Import clarity: import {formatDate} from './date-arithmetic' is self-documenting

When you're tempted to create utils.ts: Stop. Ask what the functions have in common. Name the file after that commonality.

Module Organization

  • Keep module boundaries strict with restricted visibility
  • Platform-specific code in separate files: unix.ts, windows.ts, posix.ts
  • Use conditional compilation or runtime checks for platform branching
  • Test helpers in dedicated modules/files, not mixed with production code

Cross-Platform Principles

Use OS-Native Logic

Don't emulate Unix on Windows or vice versa. Use each platform's native patterns.

Bad: Trying to make Windows paths behave like Unix paths everywhere.

Good: Accept platform differences, handle them explicitly.

// Platform-specific behavior
if (process.platform === 'win32') {
  // Windows-native approach
} else {
  // POSIX approach
}

Platform-Specific Files

When platform differences are significant, use separate files:

process-spawn.ts        // Shared interface and logic
process-spawn-unix.ts   // Unix-specific implementation
process-spawn-windows.ts // Windows-specific implementation

Document Platform Differences

When behavior differs by platform, document it in comments:

// On Windows, this returns CRLF line endings.
// On Unix, this returns LF line endings.
// Callers should normalize if consistent output is needed.
function readTextFile(path: string): string { ... }

Test on All Target Platforms

Don't assume Unix behavior works on Windows. Test explicitly:

  • CI should run on all supported platforms
  • Platform-specific code paths need platform-specific tests
  • Document which platforms are supported

Common Mistakes

MistakeRealityFix
"Just put it in utils for now"utils.ts becomes 2000 lines of unrelated codeName files by purpose from the start
"Edge cases are rare"Edge cases cause production incidentsHandle them. Model the full error space.
"We might need this abstraction later"Premature abstraction is harder to remove than addWait for the third use case
"It works on my Mac"It may not work on Windows or LinuxTest on target platforms
"The type system is too strict"Strictness catches bugs at compile timeFix the type error, don't bypass it

Red Flags

Stop and refactor when you see:

  • A utils.ts or helpers.ts file growing beyond 200 lines
  • Error handling that swallows errors or uses generic messages
  • Platform-specific code mixed with cross-platform code
  • Abstractions created for single use cases
  • Type assertions (as any) to bypass the type system
  • Code that "works on my machine" but isn't tested cross-platform

平台分布

Codex

35.52%
按下载量换算49

Claude

30.04%
按下载量换算41

Cursor

17.91%
按下载量换算25

Gemini CLI

8.56%
按下载量换算12

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/ed3dai/ed3d-plugins --skill coding-effectively 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。目前只有一个公开来源,建议同时核对源仓库。

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