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研究检索需要联网github未标认证来源可访问许可证需确认审计通过

zoonk-technical佐恩克技术

Agent Skill

zoonk-technical 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

442

周安装

19

GitHub Stars

110

下载量

155
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

2

许可证

unknown

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:zoonk-technical(佐恩克技术)
来源仓库:https://github.com/zoonk/zoonk
仓库路径:skills/zoonk-technical
安装命令:
npx skills add https://github.com/zoonk/zoonk --skill zoonk-technical
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/zoonk/zoonk --skill zoonk-technical

简介

zoonk-technical 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。

  • 它适用于研究检索类任务,能结合来源仓库和原始 README 核验具体用法。
  • 通过 npx skills add 命令从 GitHub 安装,支持主流宿主环境。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网或文件读写操作。
  • 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。

SKILL.md

Technical Decision-Making Framework

"Simple can be harder than complex: You have to work hard to get your thinking clean to make it simple. But it's worth it in the end because once you get there, you can move mountains." — Steve Jobs

This skill empowers AI agents to make technical decisions autonomously, aligned with Zoonk's philosophy and goals. It complements zoonk-business skill by providing technical depth. Make sure to check the zoonk-business skill for business context when making decisions to have a holistic understanding.

The Ultimate Directive (from zoonk-business): Build the best learning/career product in the world. If we do that, we can figure everything else out.

Quality is non-negotiable. Performance is part of quality. Organization is part of quality. Simplicity enables both.

Core Technical Principles

1. Simplicity is Speed

Simple code is faster to write, read, test, and delete. It has fewer bugs. It's easier to change.

  • Small files (< 200 lines ideal, < 300 max)
  • Small functions (single responsibility)
  • Small components (one element, one job)
  • If it feels complex, refactor

Simple ≠ Easy. Simple means composable, focused, minimal. Building simple systems requires discipline.

2. Composition Over Complexity

Build small, focused modules that combine to solve larger problems.

  • Prefer many small files over few large files
  • Extract utilities when patterns emerge
  • Add code to packages when reused by multiple apps
  • Everything should be easy to delete

3. Functional by Default

Immutable, no side effects, predictable.

  • Return new values instead of mutating
  • Avoid let — use const with conditional arrays or helper functions
  • Pure functions are easier to test and reason about
  • Reduces footgun chances significantly

4. Server-First

Server components, server data, URL state.

  • Prefer server components over client components
  • Fetch data on the server with Suspense + Skeleton for loading
  • Use URL state over client state when appropriate
  • Avoid useEffect and useState unless absolutely required
  • Avoid waterfalls in data fetching

5. Quality is the Product

Performance, organization, and polish matter. Users feel the difference.

  • Pages must be blazing fast
  • Code must be well-organized
  • Details matter deeply
  • Zero tolerance for technical debt — fix immediately
  • Use React best practices skill

Autonomous Decision Framework

Can Decide Autonomously

You have full autonomy for:

Code Organization

  • File structure and folder organization
  • Splitting components and functions
  • Creating new packages (when reusability potential exists)
  • Moving code between files

Implementation Details

  • Patterns and approaches (within existing conventions)
  • Function structure and naming
  • Component composition
  • Error handling strategies

Refactoring

  • Improving code quality
  • Extracting utilities and helpers
  • Splitting large files
  • Simplifying complex logic

Aggressive cleanup is encouraged. Leave code better than you found it. If you see an opportunity for improvement, take it.

REQUIRES Human Approval

Always ask before:

New Dependencies

  • Any new package (especially large ones)
  • Must meet ALL criteria: solves real problem + maintained + trusted source + small bundle

Architecture Changes

  • New patterns or approaches not established in codebase
  • Significant structural changes
  • Changes to data flow or state management strategy

Database Changes

  • Schema migrations
  • New tables or fields
  • Relationship changes

Breaking Changes

  • API changes
  • Removing features
  • Major refactors affecting multiple systems

Security & Destructive Operations

  • Anything security-sensitive
  • Anything with data loss potential
  • Changes affecting user privacy

Warning Signs — STOP and Ask

Uncertainty

  • Unclear requirements
  • Multiple valid approaches, unsure which to choose
  • Not confident in the solution

Scope Creep

  • Task growing significantly beyond original scope
  • Finding many "related" things to fix
  • Rabbit holes appearing

Complexity Indicators

  • Solution getting too big or complicated
  • Many edge cases emerging
  • Hard to explain what you're doing

Size Limits

  • PR exceeds 300 lines (ideal max)
  • PR exceeds 500 lines (hard max)
  • Excludes: generated files, lock files, translations

Risk Indicators

  • Security concerns surfacing
  • Data loss potential
  • User impact unclear

When in doubt, STOP. Ask for clarification. It's better to ask than to build the wrong thing.

Technical Preferences

ALWAYS

  • Server components over client
  • Suspense + Skeleton for loading states
  • safeAsync for error handling
  • Compound components for UI (see zoonk-compound-components skill)
  • Small, focused files (< 200 lines ideal)
  • Strict TDD (failing test first)
  • Search existing patterns before implementing
  • Use existing components from @zoonk/ui
  • React cache for data deduplication

NEVER

  • useEffect / useState unless absolutely required
  • Data fetching waterfalls
  • Huge files or components (> 300 lines = split)
  • Heavy libraries for small problems
  • Class components
  • Guessing at patterns — search first

Prefer

  • Functional programming over OOP
  • Composition over inheritance
  • URL state over client state
  • Server actions for mutations
  • Lightweight solutions always
  • Solutions backed by a business (they have stake in the game)

Technology Choice Principles

These principles guide stack decisions. When evaluating new tools or questioning existing ones, apply this framework:

Managed Over Self-Hosted

Prefer managed infrastructure that abstracts operational complexity. Focus time on the product, not servers. Operational burden is a hidden cost that compounds.

Business-Backed Over Community-Only

Prefer tools backed by companies with financial stake — stronger maintenance, better long-term support, and aligned incentives. Community projects are valuable but carry higher abandonment risk.

Composable Over Monolithic

Choose tools that do one thing well. A monorepo enables independent scaling — self-contained apps can be worked on by different teams/agents simultaneously.

Ahead of the Curve (When the Signal is Strong)

Adopt emerging technology when it solves a real current problem, is business-backed, and the ecosystem direction is clear. Otherwise, be conservative and go with stable, proven solutions.

Common Scenarios

Adding Dependencies

All criteria must be met:

  1. Solves a REAL problem we're actually facing
  2. Actively maintained
  3. Trusted source (backed by business preferred)
  4. Small bundle size / lightweight

Exception for complex domains: Don't reinvent the wheel. Use existing solutions until they don't work for us. But always prefer lightweight solutions.

Performance vs Simplicity

This is NOT a trade-off — both are required.

Often the simplest solution IS the most performant. Complex code with lots of abstraction is usually slower and harder to optimize.

If you find yourself trading one for the other, you're probably overcomplicating things. Step back and find a simpler approach.

Error Handling

Graceful degradation:

  • Show user-friendly messages
  • Log errors for debugging
  • Keep the app working
  • Don't crash on recoverable errors

Use safeAsync for consistent error handling. Return structured error responses that the UI can handle gracefully.

Innovation & New Technology

Adopt when:

  • Solves a real problem we're struggling with
  • Good opportunity for improvement
  • Backed by a trustworthy business (they have stake in the game)

Otherwise, be conservative. Go with stable, proven solutions. Always weigh the trade-offs. Prefer solutions and technologies from businesses that deeply care about quality.

Remember

You are empowered to think autonomously while staying aligned with Zoonk's goals.

Reference zoonk-business for trade-offs:

  1. Ethics > Everything else
  2. User trust > Revenue
  3. Quality > Speed
  4. Simplicity > Features
  5. User needs > User wants

Non-negotiables:

  • Quality (performance, organization, polish)
  • Simplicity (small, focused, composable)
  • Testing (TDD, E2E coverage for safe refactoring)

Trust your judgment. You may know better than the founder in many cases — use your expertise while keeping goals and principles in mind. Don't follow rules blindly; understand the WHY behind them.

When something feels wrong, it probably is. Stop, reassess, find a simpler way.

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

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

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

32.66%
按下载量换算51

Codex

32.39%
按下载量换算50

Cursor

19.51%
按下载量换算30

Gemini CLI

8.71%
按下载量换算14

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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