workflow-to-skill — SOP generation tools workflow-to-skill, PHM-Vibench, community, SOP generation tools, ide skills, decision tree implementation, workflow-to-skill install and setup, Claude Code, Cursor, Windsurf

v1.0.0
GitHub

About this Skill

Perfect for DevOps and Workflow Manager Agents needing to structure operations into standardized SOPs, decision branches, and quality gates. workflow-to-skill is a process extraction tool that converts unstructured user operations into structured workflow maps, decision trees, and quality checkpoints.

Features

Generates Step-by-Step SOPs with executable operations and dependency tracking
Creates decision branches with conditional logic and minimal evidence requirements
Implements quality gates with mandatory checks and failure handling strategies
Defines skill specifications with trigger conditions, context, and execution steps
Produces MVP versions with minimal viable workflows and iteration roadmaps
Outputs SKILL.md drafts with recommended directory structures and script templates

# Core Topics

SOP generation tools decision tree implementation workflow-to-skill install and setup
PHMbench PHMbench
[0]
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Updated: 3/8/2026

Agent Capability Analysis

The workflow-to-skill skill by PHMbench is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance. Optimized for SOP generation tools, decision tree implementation, workflow-to-skill install and setup.

Ideal Agent Persona

Perfect for DevOps and Workflow Manager Agents needing to structure operations into standardized SOPs, decision branches, and quality gates.

Core Value

Empowers agents to generate comprehensive workflow maps, including decision branches, quality gates, and skill specifications, utilizing SOPs, quality gates, and skill extraction, while providing iterative development paths like MVP versions and SKILL.md drafts.

↓ Capabilities Granted for workflow-to-skill

Automating workflow standardization for DevOps teams
Generating decision branches with minimal evidence requirements
Creating quality gates for risk management and rollback strategies

! Prerequisites & Limits

  • Requires user input for initial workflow steps
  • Assumes a basic understanding of workflow management and SOP creation
  • May need additional customization for complex workflows
Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

workflow-to-skill

Install workflow-to-skill, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md
Readonly

Workflow → Skill 抽取器（元 Skill）

你要交付什么

把用户“不开 skill 时的真实操作步骤”（可以很乱）结构化为：

  1. 流程地图（SOP）：Step | 目的 | 操作（可执行） | 前置/依赖 | 产物 | 完成判定 | 风险/回滚
  2. 决策分支：如果…则…，每条附“最小证据”（看什么日志/文件/信号）
  3. 质量门禁（Quality Gates）：必须通过的检查点 + 失败处理策略
  4. Skill 规格：触发条件、上下文、执行步骤粒度、产物清单、默认参数、禁止项、需人工确认项
  5. MVP 版本：只保留最省时的 20% 步骤，并给出 v0.1→v0.2→v1.0 迭代路线
  6. （可选）可落地的 SKILL.md 草案：给出推荐目录结构（SKILL.md / scripts/ / references/ / assets/）

交互策略（先收口，再抽取）

  • 先给“可直接填空模板”，不要一次问很多问题
  • 信息缺失时先做合理假设，并在输出开头明确列出假设
  • 默认只产出文本规范与草案；需要执行命令/改代码/写文件时，先说明“将要做什么 + 风险”，再等用户明确确认

采集模板（发给用户粘贴填写）

  • 任务名称：
  • 触发场景：
  • 成功标准（做到什么算完成）：
  • 输入来源与示例（issue/报错/段落/日志/数据…）：
  • 输出落点（必须生成哪些文件/目录/产物）：
  • 相关目录/文件路径（可选）：
  • 手工步骤（Step 0..N，乱序也行）：
  • 判断依据/经验规则（如何选A/B、如何定位根因、如何验收）：
  • 验收方式（测试/编译/复现/一致性检查等）：
  • 禁止自动做的事（例如强推、删除、全仓格式化等）：

抽取与归纳规则

  • 把每一步改写为“动词开头、可执行、可验证”的操作描述
  • 对每步补齐：前置条件 / 输入 / 输出 / 完成判定 / 风险与回滚
  • 从经验规则中抽取“决策分支”和“门禁条件”
  • 标注：可脚本化/模板化/并行化/缓存化的步骤

输出格式（强制）

按以下标题输出，优先用表格/清单：

  1. 假设与范围
  2. 流程地图（SOP 表格）
  3. 决策分支（如果…则… + 最小证据）
  4. 质量门禁（Quality Gates）
  5. Skill 规格（可落地）
  6. MVP + 迭代路线（v0.1→v0.2→v1.0）
  7. （可选）SKILL.md 草案 + 推荐目录结构

生成 SKILL.md 的约束（当用户要求落地文件时）

  • Skill 名称：小写 + 数字 + 连字符（hyphen-case），目录名与 skill 名一致，≤64 字符
  • Frontmatter：只写 name 和 description；把触发条件写进 description
  • 正文：用祈使句；信息尽量放在可复用步骤/检查清单上
  • 资源：只有在确实复用时才建 scripts//references//assets/，避免额外文档噪声

安全策略（硬约束）

  • 默认不做不可逆操作（强推、删除、覆盖大文件、改主分支）
  • 默认不做“全仓库格式化”这类噪声变更；需要用户明确要求
  • 对任何会修改文件/运行命令的动作：先列“将要做什么 + 风险 + 回滚方式”，再等用户确认

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is workflow-to-skill?

Perfect for DevOps and Workflow Manager Agents needing to structure operations into standardized SOPs, decision branches, and quality gates. workflow-to-skill is a process extraction tool that converts unstructured user operations into structured workflow maps, decision trees, and quality checkpoints.

How do I install workflow-to-skill?

Run the command: npx killer-skills add PHMbench/PHM-Vibench. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for workflow-to-skill?

Key use cases include: Automating workflow standardization for DevOps teams, Generating decision branches with minimal evidence requirements, Creating quality gates for risk management and rollback strategies.

Which IDEs are compatible with workflow-to-skill?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for workflow-to-skill?

Requires user input for initial workflow steps. Assumes a basic understanding of workflow management and SOP creation. May need additional customization for complex workflows.

↓ How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add PHMbench/PHM-Vibench. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use workflow-to-skill immediately in the current project.

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