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codifycodify 命令行

Agent Skill

codify 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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

190

周安装

8

GitHub Stars

26

下载量

67
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:codify(codify 命令行)
来源仓库:https://github.com/outfitter-dev/agents
仓库路径:skills/codify
安装命令:
npx skills add https://github.com/outfitter-dev/agents --skill codify
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/outfitter-dev/agents --skill codify

简介

codify 将识别出的模式转化为组件映射与可执行实现。

  • 适用于工作流捕获、调试序列固化与决策规则编码。
  • 不支持一次性任务或已有文档完善类操作。
  • 需明确区分 workflow、heuristic 与 design pattern 类型。
  • codify 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Codify

Identified pattern → component mapping → implementation.

<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 stages 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 stages?
├─ 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>

Pattern spec format (YAML):

name: pattern-name
type: workflow | orchestration | heuristic
trigger: when to apply
stages:  # workflow
  - name: stage-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.

  1. Identify: Spot repeatable behavior in conversation

- If hint/argument provided, focus analysis on that specific pattern - Otherwise scan for: workflows, orchestrations, and heuristics worth capturing - For deep analysis, load outfitter:codebase-recon skill and use outfitter: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 stages:

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

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

<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>

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

Identification vs Implementation:

  • patterns skill identifies and documents patterns
  • This skill (codify) implements patterns as Claude Code components

Use patterns first to identify what's worth capturing. Use codify to turn identified patterns into skills, commands, hooks, or agents.

Component skills (loaded during implementation):

  • claude-skills — skill authoring
  • claude-commands — command authoring
  • claude-hooks — hook authoring
  • claude-agents — agent authoring

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

Codex

36.35%
按下载量换算24

Claude

30.23%
按下载量换算20

Cursor

20.54%
按下载量换算14

Gemini CLI

9.73%
按下载量换算7

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

通过

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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