Token导航 LogoToken导航

Agent Skill · 研究检索

process-builder(流程构建者)

process-builder 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。

process-builder 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,权限为执行命令;许可证为 MIT,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 23,762。

总安装 4,187周安装 178GitHub Stars 696下载 1,467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
MIT

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:process-builder(流程构建者)
来源仓库:https://github.com/a5c-ai/babysitter
仓库路径:skills/process-builder
安装命令:
npx skills add https://github.com/a5c-ai/babysitter --skill process-builder
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/a5c-ai/babysitter --skill process-builder

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。

process-builder 用于查找、检索和筛选相关信息。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词快速定位内容。可用于支持流程设计与构建任务。process-builder 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

建议确认权限范围和维护状态,避免误触敏感操作。可结合原始 README 了解其检索逻辑和使用限制。

来源仓库内路径:skills/process-builder

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/a5c-ai/babysitter --skill process-builder;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

    它需要执行命令,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

process-builder 怎么安装?

在终端执行 npx skills add https://github.com/a5c-ai/babysitter --skill process-builder。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

process-builder 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。

process-builder 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/a5c-ai/babysitter --skill process-builder;npx skills add a5c-ai/babysitter --skill "process-builder" 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

process-builder 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

process-builder 用的人多吗?

公开数据是累计安装 4,187 次,近一周安装 178 次,下载 1,467 次,GitHub 696 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。

process-builder 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。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 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

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 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。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 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
process-builder

流程构建者 · 本页

4,187696执行命令MIT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

Process Builder

Create new process definitions for the babysitter event-sourced orchestration framework.

Quick Reference

Processes live in: plugins/babysitter/skills/babysit/process/
├── methodologies/          # Reusable development approaches (TDD, BDD, Scrum, etc.)
│   └── [name]/
│       ├── README.md       # Documentation
│       ├── [name].js       # Main process
│       └── examples/       # Sample inputs
│
└── specializations/        # Domain-specific processes
    ├── [category]/         # Engineering specializations (direct children)
    │   └── [process].js
    └── domains/
        └── [domain]/       # Business, Science, Social Sciences
            └── [spec]/
                ├── README.md
                ├── references.md
                ├── processes-backlog.md
                └── [process].js

3-Phase Workflow

Phase 1: Research & Documentation

Create foundational documentation:

# Check existing specializations
ls plugins/babysitter/skills/babysit/process/specializations/

# Check methodologies
ls plugins/babysitter/skills/babysit/process/methodologies/

Create:

  • README.md - Overview, roles, goals, use cases, common flows
  • references.md - External references, best practices, links to sources

Phase 2: Identify Processes

Create processes-backlog.md with identified processes:

# Processes Backlog - [Specialization Name]

## Identified Processes

- [ ] **process-name** - Short description of what this process accomplishes
  - Reference: [Link to methodology or standard]
  - Inputs: list key inputs
  - Outputs: list key outputs

- [ ] **another-process** - Description
  ...

Phase 3: Create Process Files

Create .js process files following SDK patterns (see below).


Process File Structure

Every process file follows this pattern:

/**
 * @process [category]/[process-name]
 * @description Clear description of what the process accomplishes end-to-end
 * @inputs { inputName: type, optionalInput?: type }
 * @outputs { success: boolean, outputName: type, artifacts: array }
 *
 * @example
 * const result = await orchestrate('[category]/[process-name]', {
 *   inputName: 'value',
 *   optionalInput: 'optional-value'
 * });
 *
 * @references
 * - Book: "Relevant Book Title" by Author
 * - Article: [Title](https://link)
 * - Standard: ISO/IEEE reference
 */

import { defineTask } from '@a5c-ai/babysitter-sdk';

/**
 * [Process Name] Process
 *
 * Methodology: Brief description of the approach
 *
 * Phases:
 * 1. Phase Name - What happens
 * 2. Phase Name - What happens
 * ...
 *
 * Benefits:
 * - Benefit 1
 * - Benefit 2
 *
 * @param {Object} inputs - Process inputs
 * @param {string} inputs.inputName - Description of input
 * @param {Object} ctx - Process context (see SDK)
 * @returns {Promise<Object>} Process result
 */
export async function process(inputs, ctx) {
  const {
    inputName,
    optionalInput = 'default-value',
    // ... destructure with defaults
  } = inputs;

  const artifacts = [];

  // ============================================================================
  // PHASE 1: [PHASE NAME]
  // ============================================================================

  ctx.log?.('info', 'Starting Phase 1...');

  const phase1Result = await ctx.task(someTask, {
    // task inputs
  });

  artifacts.push(...(phase1Result.artifacts || []));

  // Breakpoint for human review (when needed)
  await ctx.breakpoint({
    question: 'Review the results and approve to continue?',
    title: 'Phase 1 Review',
    context: {
      runId: ctx.runId,
      files: [
        { path: 'artifacts/output.md', format: 'markdown', label: 'Output' }
      ]
    }
  });

  // ============================================================================
  // PHASE 2: [PHASE NAME] - Parallel Execution Example
  // ============================================================================

  const [result1, result2, result3] = await ctx.parallel.all([
    () => ctx.task(task1, { /* args */ }),
    () => ctx.task(task2, { /* args */ }),
    () => ctx.task(task3, { /* args */ })
  ]);

  // ============================================================================
  // PHASE 3: [ITERATION EXAMPLE]
  // ============================================================================

  let iteration = 0;
  let targetMet = false;

  while (!targetMet && iteration < maxIterations) {
    iteration++;

    const iterResult = await ctx.task(iterativeTask, {
      iteration,
      previousResults: /* ... */
    });

    targetMet = iterResult.meetsTarget;

    if (!targetMet && iteration % 3 === 0) {
      // Periodic checkpoint
      await ctx.breakpoint({
        question: `Iteration ${iteration}: Target not met. Continue?`,
        title: 'Progress Checkpoint',
        context: { /* ... */ }
      });
    }
  }

  // ============================================================================
  // COMPLETION
  // ============================================================================

  return {
    success: targetMet,
    iterations: iteration,
    artifacts,
    // ... other outputs matching @outputs
  };
}

// ============================================================================
// TASK DEFINITIONS
// ============================================================================

/**
 * Task: [Task Name]
 * Purpose: What this task accomplishes
 */
const someTask = defineTask({
  name: 'task-name',
  description: 'What this task does',

  // Task definition - executed externally by orchestrator
  // This returns a TaskDef that describes HOW to run the task

  inputs: {
    inputName: { type: 'string', required: true },
    optionalInput: { type: 'number', default: 10 }
  },

  outputs: {
    result: { type: 'object' },
    artifacts: { type: 'array' }
  },

  async run(inputs, taskCtx) {
    const effectId = taskCtx.effectId;

    return {
      kind: 'node',  // or 'agent', 'skill', 'shell', 'breakpoint'
      title: `Task: ${inputs.inputName}`,
      node: {
        entry: 'scripts/task-runner.js',
        args: ['--input', inputs.inputName, '--effect-id', effectId]
      },
      io: {
        inputJsonPath: `tasks/${effectId}/input.json`,
        outputJsonPath: `tasks/${effectId}/result.json`
      },
      labels: ['category', 'subcategory']
    };
  }
});

SDK Context API Reference

The ctx object provides these intrinsics:

MethodPurposeBehavior
ctx.task(taskDef, args, opts?)Execute a taskReturns result or throws typed exception
ctx.breakpoint(payload)Human approval gatePauses until approved via human
ctx.sleepUntil(isoOrEpochMs)Time-based gatePauses until specified time
ctx.parallel.all([...thunks])Parallel executionRuns independent tasks concurrently
ctx.parallel.map(items, fn)Parallel mapMaps items through task function
ctx.now()Deterministic timeReturns current Date (or provided time)
ctx.log?.(level, msg, data?)LoggingOptional logging helper
ctx.runIdRun identifierCurrent run's unique ID

Task Kinds

KindUse CaseExecutor
nodeScripts, builds, testsNode.js process
agentLLM-powered analysis, generationClaude Code agent
skillClaude Code skillsSkill invocation
shellSystem commandsShell execution
breakpointHuman approvalBreakpoints UI/service
sleepTime gatesOrchestrator scheduling
orchestrator_taskInternal orchestrator workSelf-routed

Breakpoint Patterns

Basic Approval Gate

await ctx.breakpoint({
  question: 'Approve to continue?',
  title: 'Checkpoint',
  context: { runId: ctx.runId }
});

With File References (for UI display)

await ctx.breakpoint({
  question: 'Review the generated specification. Does it meet requirements?',
  title: 'Specification Review',
  context: {
    runId: ctx.runId,
    files: [
      { path: 'artifacts/spec.md', format: 'markdown', label: 'Specification' },
      { path: 'artifacts/spec.json', format: 'json', label: 'JSON Schema' },
      { path: 'src/implementation.ts', format: 'code', language: 'typescript', label: 'Implementation' }
    ]
  }
});

Conditional Breakpoint

if (qualityScore < targetScore) {
  await ctx.breakpoint({
    question: `Quality score ${qualityScore} is below target ${targetScore}. Continue iterating or accept current result?`,
    title: 'Quality Gate',
    context: {
      runId: ctx.runId,
      data: { qualityScore, targetScore, iteration }
    }
  });
}

Common Patterns

Quality Convergence Loop

let quality = 0;
let iteration = 0;
const targetQuality = inputs.targetQuality || 85;
const maxIterations = inputs.maxIterations || 10;

while (quality < targetQuality && iteration < maxIterations) {
  iteration++;
  ctx.log?.('info', `Iteration ${iteration}/${maxIterations}`);

  // Execute improvement tasks
  const improvement = await ctx.task(improveTask, { iteration });

  // Score quality (parallel checks)
  const [coverage, lint, security, tests] = await ctx.parallel.all([
    () => ctx.task(coverageTask, {}),
    () => ctx.task(lintTask, {}),
    () => ctx.task(securityTask, {}),
    () => ctx.task(runTestsTask, {})
  ]);

  // Agent scores overall quality
  const score = await ctx.task(agentScoringTask, {
    coverage, lint, security, tests, iteration
  });

  quality = score.overall;
  ctx.log?.('info', `Quality: ${quality}/${targetQuality}`);

  if (quality >= targetQuality) {
    ctx.log?.('info', 'Quality target achieved!');
    break;
  }
}

return {
  success: quality >= targetQuality,
  quality,
  iterations: iteration
};

Phased Workflow with Reviews

// Phase 1: Research
const research = await ctx.task(researchTask, { topic: inputs.topic });

await ctx.breakpoint({
  question: 'Review research findings before proceeding to planning.',
  title: 'Research Review',
  context: { runId: ctx.runId }
});

// Phase 2: Planning
const plan = await ctx.task(planningTask, { research });

await ctx.breakpoint({
  question: 'Review plan before implementation.',
  title: 'Plan Review',
  context: { runId: ctx.runId }
});

// Phase 3: Implementation
const implementation = await ctx.task(implementTask, { plan });

// Phase 4: Verification
const verification = await ctx.task(verifyTask, { implementation, plan });

await ctx.breakpoint({
  question: 'Final review before completion.',
  title: 'Final Approval',
  context: { runId: ctx.runId }
});

return { success: verification.passed, plan, implementation };

Parallel Fan-out with Aggregation

// Fan out to multiple parallel analyses
const analyses = await ctx.parallel.map(components, component =>
  ctx.task(analyzeTask, { component }, { label: `analyze:${component.name}` })
);

// Aggregate results
const aggregated = await ctx.task(aggregateTask, { analyses });

return { analyses, summary: aggregated.summary };

Testing Processes

CLI Commands

# Create a new run
babysitter run:create \
  --process-id methodologies/my-process \
  --entry ./plugins/babysitter/skills/babysit/process/methodologies/my-process.js#process \
  --inputs ./test-inputs.json \
  --json

# Iterate the run
babysitter run:iterate .a5c/runs/<runId> --json

# List pending tasks
babysitter task:list .a5c/runs/<runId> --pending --json

# Post a task result
babysitter task:post .a5c/runs/<runId> <effectId> \
  --status ok \
  --value ./result.json

# Check run status
babysitter run:status .a5c/runs/<runId>

# View events
babysitter run:events .a5c/runs/<runId> --limit 20 --reverse

Sample Test Input File

{
  "feature": "User authentication with JWT",
  "acceptanceCriteria": [
    "Users can register with email and password",
    "Users can login and receive a JWT token",
    "Invalid credentials are rejected"
  ],
  "testFramework": "jest",
  "targetQuality": 85,
  "maxIterations": 5
}

Process Builder Workflow

1. Gather Requirements

Ask the user:

QuestionPurpose
Domain/CategoryDetermines directory location
Process Namekebab-case identifier
GoalWhat should the process accomplish?
InputsWhat data does the process need?
OutputsWhat artifacts/results does it produce?
PhasesWhat are the major steps?
Quality GatesWhere should humans review?
Iteration StrategyFixed phases vs. convergence loop?

2. Research Similar Processes

# Find similar processes
ls plugins/babysitter/skills/babysit/process/methodologies/
ls plugins/babysitter/skills/babysit/process/specializations/

# Read similar process for patterns
cat plugins/babysitter/skills/babysit/process/methodologies/atdd-tdd/atdd-tdd.js | head -200

# Check methodology README structure
cat plugins/babysitter/skills/babysit/process/methodologies/atdd-tdd/README.md

3. Check Methodologies Backlog

cat plugins/babysitter/skills/babysit/process/methodologies/backlog.md

4. Create the Process

For Methodologies:

  1. Create methodologies/[name]/README.md (comprehensive documentation)
  2. Create methodologies/[name]/[name].js (process implementation)
  3. Create methodologies/[name]/examples/ (sample inputs)

For Specializations:

  1. If domain-specific: specializations/domains/[domain]/[spec]/
  2. If engineering: specializations/[category]/[process].js
  3. Create README.md, references.md, processes-backlog.md first
  4. Then create individual process.js files

5. Validate Structure

Checklist:

  • JSDoc header with @process, @description, @inputs, @outputs, @example, @references
  • Import from @a5c-ai/babysitter-sdk
  • Main export async function process(inputs, ctx)
  • Input destructuring with defaults
  • Clear phase comments (// === PHASE N: NAME ===)
  • Logging via ctx.log?.('info', message)
  • Tasks via ctx.task(taskDef, inputs)
  • Breakpoints at key decision points
  • Artifact collection throughout
  • Return object matches @outputs schema

Examples by Type

Methodology Process (atdd-tdd style)

/**
 * @process methodologies/my-methodology
 * @description My development methodology with quality convergence
 * @inputs { feature: string, targetQuality?: number }
 * @outputs { success: boolean, quality: number, artifacts: array }
 */
export async function process(inputs, ctx) {
  const { feature, targetQuality = 85 } = inputs;
  // ... implementation
}

Specialization Process (game-development style)

/**
 * @process specializations/game-development/core-mechanics-prototyping
 * @description Prototype and validate core gameplay mechanics through iteration
 * @inputs { prototypeName: string, mechanicsToTest: array, engine?: string }
 * @outputs { success: boolean, mechanicsValidated: array, playtestResults: object }
 */
export async function process(inputs, ctx) {
  const { prototypeName, mechanicsToTest, engine = 'Unity' } = inputs;
  // ... implementation
}

Domain Process (science/research style)

/**
 * @process specializations/domains/science/bioinformatics/sequence-analysis
 * @description Analyze genomic sequences using standard bioinformatics workflows
 * @inputs { sequences: array, analysisType: string, referenceGenome?: string }
 * @outputs { success: boolean, alignments: array, variants: array, report: object }
 */
export async function process(inputs, ctx) {
  const { sequences, analysisType, referenceGenome = 'GRCh38' } = inputs;
  // ... implementation
}

Resources

  • SDK Reference: plugins/babysitter/skills/babysit/process/reference/sdk.md
  • Methodology Backlog: plugins/babysitter/skills/babysit/process/methodologies/backlog.md
  • Specializations Backlog: plugins/babysitter/skills/babysit/process/specializations/backlog.md
  • Example: ATDD/TDD: plugins/babysitter/skills/babysit/process/methodologies/atdd-tdd/
  • Example: Spec-Driven: plugins/babysitter/skills/babysit/process/methodologies/spec-driven-development.js
  • README: Root README.md for full framework documentation

平台分布

Antigravity

27.32%
按下载量换算401

Cursor

24.25%
按下载量换算356

Claude Code

16.71%
按下载量换算245

Gemini CLI

12.84%
按下载量换算188

trae

8.51%
按下载量换算125

Codex

3.22%
按下载量换算47

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/a5c-ai/babysitter --skill process-builder;npx skills add a5c-ai/babysitter --skill "process-builder" 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。

继续浏览同类 Skills