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patternifypatternify 搜索

Agent Skill

patternify 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

768

周安装

33

GitHub Stars

公开资料未说明

下载量

269
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

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:patternify(patternify 搜索)
来源仓库:https://github.com/outfitter-dev/agents
仓库路径:skills/patternify
安装命令:
npx skills add outfitter-dev/agents --skill "patternify"
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。

AgentSkills.tonpx skills
npx skills add outfitter-dev/agents --skill "patternify"

简介

发现并安装 AI 代理的技能,增强宿主环境的多任务处理能力。

  • 适用于 Codex、Claude、Cursor 和 Gemini CLI 中的复杂工作流搭建。
  • 支持模块化技能组合,按需启用特定功能模块。
  • 安装命令:npx skills add outfitter-dev/agents --skill "patternify"。
  • 某些技能可能需要额外授权或网络白名单才能正常运行。

SKILL.md

name
patternify
description
This skill should be used when capturing reusable workflows from conversations, codifying decision heuristics, or when "patternify", "capture", or "codify workflow" are mentioned.
metadata
version
1.1.0

Patternify

Conversation analysis → reusable pattern → correct component.

<when_to_use>

  • Spotting repeated behavior worth codifying
  • User explicitly wants to capture a workflow
  • Recognizing orchestration sequences in conversation
  • Identifying decision heuristics being applied

NOT for: one-off tasks, simple questions, well-documented existing patterns

</when_to_use>

<pattern_types>

TypePurposeExample
WorkflowMulti-step sequencesDebug → Test → Fix → Verify
OrchestrationTool coordinationGit + Linear + PR automation
HeuristicDecision rules"When X, do Y because Z"

Workflows: Step-by-step processes with defined phases and transitions. Orchestration: Tool combinations that work together for a goal. Heuristics: Conditional logic and decision trees for common situations.

</pattern_types>

<component_mapping>

Match pattern type to implementation:

Is it a multi-step process with phases?
├─ Yes → Does it need tool restrictions?
│        ├─ Yes → Skill (with allowed_tools)
│        └─ No → Skill
└─ No → Is it a simple entry point?
         ├─ Yes → Command (thin wrapper → Skill)
         └─ No → Is it autonomous/long-running?
                  ├─ Yes → Agent
                  └─ No → Is it reactive to events?
                           ├─ Yes → Hook
                           └─ No → Probably doesn't need codifying

Composites:

  • Skill + Command: Skill holds logic, command provides entry point
  • Skill + Hook: Skill holds logic, hook triggers automatically
  • Agent + Skill: Agent orchestrates, skill provides methodology

</component_mapping>

<specification>

Pattern spec format (YAML):

name: pattern-name
type: workflow | orchestration | heuristic
trigger: when to apply
phases:  # workflow
  - name: phase-name
    actions: [...]
    exit_criteria: condition
tools:   # orchestration
  - tool: name
    role: purpose
    sequence: order
rules:   # heuristic
  - condition: when
    action: what
    rationale: why
quality:
  specific: true | false
  repeatable: true | false
  valuable: true | false
  documented: true | false
  scoped: true | false

All five quality checks must pass before codifying.

</specification>

<workflow>

  1. Identify: Spot repeatable behavior in conversation

- For deep analysis, load codebase-recon skill and use patterns techniques - Extract success, frustration, workflow, and request signals - Look for 3+ occurrences of similar behavior

  1. Classify: Workflow, Orchestration, or Heuristic?
  2. Map: Which component(s) should implement it?
  3. Specify: Document with pattern spec format
  4. Quality: Validate against SRVDS criteria
  5. Implement: Create the component(s)

Task phases:

- Identify { pattern description }
- Classify { pattern type }
- Map { component decision }
- Specify { pattern name }
- Implement { component type }

</workflow>

<quality>

SRVDS criteria — all must pass:

CheckQuestionRed Flag
SpecificClear trigger + scope?"Sometimes useful"
RepeatableWorks across contexts?One-off solution
ValuableWorth the overhead?Saves < 5 minutes
DocumentedCan others understand?Tribal knowledge
ScopedSingle responsibility?Kitchen sink

Skip if: < 3 occurrences, context-dependent, simpler inline

</quality>

<anti_patterns>

  • Premature abstraction: Codifying after first occurrence
  • Over-specification: 50-line spec for 5-line pattern
  • Wrong component: Hook when Skill needed, Agent when Command suffices
  • Missing trigger: Pattern exists but no clear activation
  • Scope creep: Pattern grows to handle edge cases

</anti_patterns>

<rules>

ALWAYS:

  • Identify pattern type before choosing component
  • Validate all SRVDS criteria
  • Start with minimal implementation
  • Document trigger conditions clearly
  • Test pattern in at least 2 contexts

NEVER:

  • Codify after single occurrence
  • Create Agent when Skill suffices
  • Skip quality validation
  • Implement without clear trigger
  • Add "might need later" features

</rules>

<references>

</references>

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

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

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 Code

27.81%
按下载量换算75

windsurf

25.28%
按下载量换算68

OpenCode

15.95%
按下载量换算43

Cursor

11.67%
按下载量换算31

Codex

8.68%
按下载量换算23

Antigravity

3.8%
按下载量换算10

安全审计

暂无安全审计结果可展示。

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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