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Agent Skill · 研究检索

pattern-matching(模式匹配)

pattern-matching 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。

pattern-matching 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,权限为需要联网;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 65,351。

总安装 282周安装 12GitHub Stars 24下载 99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:pattern-matching(模式匹配)
来源仓库:https://github.com/noobygains/godmode
仓库路径:skills/pattern-matching
安装命令:
npx skills add https://github.com/noobygains/godmode --skill pattern-matching
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/noobygains/godmode --skill pattern-matching

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。

pattern-matching 用于查找、检索和筛选相关信息,适合基于模式识别快速定位结果。适用于 Codex、Claude、Cursor 和 Gemini CLI,支持结构化数据匹配任务。可通过来源仓库和原始 README 继续验证功能实现细节。安装前应确认是否会触发外部命令或文件操作。

建议在受控环境中测试后再集成到生产流程中。

来源仓库内路径:skills/pattern-matching

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/noobygains/godmode --skill pattern-matching;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

    它需要需要联网,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

pattern-matching 怎么安装?

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

pattern-matching 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。

pattern-matching 需要什么权限?

权限级别是需要联网。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。

pattern-matching 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。

pattern-matching 用的人多吗?

公开数据是累计安装 282 次,近一周安装 12 次,下载 99 次,GitHub 24 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。

pattern-matching 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

  • 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

  • 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
pattern-matching

模式匹配 · 本页

28224需要联网未明确通过

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

Pattern Matching

Overview

Every codebase has a fingerprint. Your job is to replicate that fingerprint so precisely that no reviewer can tell where the original ends and your contribution begins.

Core principle: Observe before you act. Every function, file, and folder you produce must have a living precedent somewhere in the repository. If you cannot point to the model you followed, you have already introduced drift.

No exceptions. No workarounds. No shortcuts.

The Prime Directive

EVERY ADDITION MUST MIRROR AN EXISTING PRECEDENT

When the repository favors snake_case, you write snake_case. When services live under src/domain/, your service lands there too. When errors propagate through a custom Result<T> type, you adopt it without question. There is no room for personal preference.

When to Use

Mandatory in these situations:

  • Touching any file in a pre-existing repository
  • Introducing new modules, routes, or components into an established architecture
  • Contributing features to a project you did not originate
  • Performing refactors that reshape existing logic

Unnecessary when:

  • Bootstrapping a greenfield project (see godmode:project-bootstrap)
  • Writing disposable scripts that will never enter version control

The Entry Protocol

BEFORE producing any code in an existing repository:

1. SURVEY: Locate 2-3 files or functions that solve a comparable problem
2. CATALOG: Record every convention they share
   - Identifier formatting (camelCase, snake_case, PascalCase)
   - Directory taxonomy (where do peers of this file reside?)
   - Import conventions (relative paths, aliases, barrel files)
   - Error propagation strategy (exceptions, Result types, error codes)
   - State access patterns (global store, context injection, parameter passing)
   - Test co-location and framework choices
3. REPLICATE: Produce your code using the identical conventions
4. AUDIT: Hold your output beside the originals — does it pass as native?

Omit any step = drift introduced

Dimensions of Conformity

File-Level Conventions

BEFORE placing a new file:

1. Where do its siblings reside? (directory hierarchy)
2. How are filenames formed? (kebab-case.ts, PascalCase.tsx, snake_case.py)
3. What internal structure does each file follow? (imports, types, constants, logic, exports)
4. How are exports surfaced? (default export, named exports, re-export indexes)

Function-Level Conventions

BEFORE writing a new function, class, or component:

1. Identify an existing function that addresses a similar concern
2. Mirror its shape:
   - Argument style (destructured object vs positional args)
   - Return envelope (Promise<T>, Result<T, E>, nullable)
   - Error strategy (try/catch, .catch(), explicit error returns)
   - Observability (logger.info(), structured JSON, console methods)
   - Validation technique (Zod, Joi, manual guards, type narrowing)
3. Rely on the SAME libraries and utilities the project already depends on
   - Do not introduce ramda if the project uses native array methods
   - Do not pull in got if the project wraps fetch
   - Do not add a competing ORM when one is already wired in

Architecture-Level Conventions

BEFORE inserting a new module or layer:

1. How is the codebase stratified?
   - Routes -> Controllers -> Services -> Repositories?
   - Pages -> Components -> Hooks -> Helpers?
   - Handlers -> Domain -> Infrastructure?
2. Which way do imports flow?
3. Where does business logic concentrate?
4. How do cross-cutting concerns surface? (auth middleware, logging wrappers, error boundaries)

The Shadowing Method

The fastest route to conformity: locate the nearest relative and shadow it stroke for stroke.

1. LOCATE: "Find the file most similar to what I need to create"
2. STUDY: Absorb its structure, imports, error handling, naming, export style
3. DUPLICATE: Use it as a skeleton
4. SPECIALIZE: Swap in only the logic unique to your feature
5. COMPARE: Place them side by side — can you spot the newcomer?

Effective prompting pattern:

"Here is our existing payment service (src/services/payment.ts).
Produce the new subscription service using identical structure, patterns, and naming."

Showing a concrete example always outperforms describing rules in prose.

Typical Divergence Patterns

AI TendencyProject ConventionCorrection
console.log()Structured logger via winstonAdopt the project's logging pipeline
Generic try/catchDomain-specific ServiceError classThrow and catch using the project's error hierarchy
Inline Tailwind classesCSS Modules / styled-componentsFollow the project's styling methodology
axios for HTTPCustom fetch wrapper in lib/httpUse the wrapper the team built
New helper functionsExisting utility belt in utils/Audit utils/ before creating anything new
Flat file layoutFeature-folder nestingRespect the existing directory blueprint
Default exportsNamed exports throughoutAlign with the repository's export convention
Loose any typesStrict TypeScript with genericsMatch the project's type discipline
let declarationsconst by defaultMirror the existing variable declaration habit
Raw SQL stringsORM query builderUse the project's data access layer

Pre-Commit Verification

Before finalizing, confirm:

  • File resides in the appropriate directory (same neighborhood as its peers)
  • Filename obeys the prevailing naming scheme
  • Import order and alias usage match the established style
  • All identifiers (variables, functions, types) follow existing naming rules
  • Error handling echoes the repository's standard pattern
  • No new dependency duplicates an existing one
  • Tests adhere to the same framework, structure, and naming as existing tests
  • Logging channels through the project's logger
  • The code reads as though the original author wrote it

Cognitive Traps

RationalizationTruth
"My approach is objectively superior"Uniformity outweighs individual taste. Conform to the codebase.
"This is a more contemporary technique"Modern does not mean appropriate for THIS repository. Match the existing reality.
"It is only a single file"One divergent file sets a precedent for ten more. Entropy compounds.
"I will harmonize everything later"You will not. Partial migration is more damaging than consistent legacy.
"The current pattern is flawed"Raise it with the human first. Unilateral convention changes are forbidden.
"This dependency is demonstrably better"Better in isolation does not justify duplication. The project already solved this.

Guardrails

Prohibited actions:

  • Importing a library that overlaps with one already in use
  • Applying a naming convention alien to the codebase
  • Placing a file where it violates the existing directory structure
  • Altering an established convention without explicit human approval
  • Writing code that is visually distinguishable from its neighbors

Required actions:

  • Examine 2-3 analogous files before writing anything
  • Exhaust the project's existing utilities before inventing new ones
  • Reproduce error handling, logging, and validation patterns verbatim
  • Seek permission before deviating ("The codebase uses X. Shall I continue with X or migrate to Y?")

Integration

Complementary skills:

  • godmode:ux-patterns -- Conformity applied to UI component conventions
  • godmode:design-integration -- Conformity applied to design system usage
  • godmode:quality-enforcement -- Automated checks that catch drift

Adjacent skills:

  • godmode:codebase-research -- Discover external patterns; this skill enforces internal ones
  • godmode:system-design -- Guides greenfield structure; this skill governs established codebases

平台分布

Codex

35.47%
按下载量换算35

Claude

33.15%
按下载量换算33

Cursor

18.04%
按下载量换算18

Gemini CLI

8.42%
按下载量换算8

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。目前只有一个公开来源,建议同时核对源仓库。

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