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Agent Skill · 效率

ai-plan-generator(AI 计划生成器)

ai-plan-generator 用于整理文档、README、Markdown 和说明材料,适合在 OpenClaw 中需要把零散信息整理成结构清晰的文档时使用。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。

ai-plan-generator 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描有提醒项,按安装量在效率类的 21,003 个 Skill 里排第 13,315。

总安装 3,770周安装 154GitHub Stars 1下载 1,220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-0
版本
2.1.1

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:ai-plan-generator(AI 计划生成器)
来源仓库:https://github.com/hickhe/ai-plan-generator
安装命令:
openclaw skills install ai-plan-generator
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install ai-plan-generator

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

用于整理文档、README、Markdown 和说明材料。适合将零散信息整理成结构清晰的文档。ai-plan-generator 属于效率类 Skill,可作为该场景下的辅助能力补充。可结合来源仓库和原始 README 核验具体用法。

安装命令:openclaw skills install ai-plan-generator。建议确认权限范围、维护状态及是否触发联网或文件读写。

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 OpenClaw;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 openclaw skills install ai-plan-generator;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

ai-plan-generator 怎么安装?

在终端执行 openclaw skills install ai-plan-generator。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

ai-plan-generator 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

ai-plan-generator 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。

ai-plan-generator 是免费的吗?

来源标注的许可证是 MIT-0。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。

ai-plan-generator 用的人多吗?

公开数据是累计安装 3,770 次,近一周安装 154 次,下载 1,220 次,GitHub 1 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。

ai-plan-generator 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
ai-plan-generator

AI 计划生成器 · 本页

3,7701需要联网MIT-0有提醒

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

name
ai-plan-generator
description
Generates comprehensive campaign documents, task decompositions, and context documents from minimal input for ClawTeam continuous iteration. Supports Code Archaeology integration with unified directory structure.
user-invocable
true
disable-model-invocation
false
metadata
{"openclaw":{"emoji":"📋","os":["darwin","linux","win32"],"requires":{"bins":["node","git","bash"]}}}

AI Plan Generator v2

AI Plan Generator v2 extends the original business functionality decomposition with comprehensive campaign document generation, task decomposition, context document generation, and Code Archaeology integration for ClawTeam continuous iteration.

Core Capabilities

1. Campaign Document Generation

  • Minimal Input Processing: Only 4 key inputs required (project name, business goal, scope boundary, code location)
  • Multi-Language Support: Java, Python, Go, C#, Rust, JavaScript
  • Project Type Detection: Automatically identifies new vs iteration projects
  • Domain-Specific Templates: Finance, User Management, General domains

2. Task Decomposition

  • Detailed Task Generation: Complete tasks with priorities, dependencies, acceptance criteria
  • Multiple Output Formats: JSON, Markdown, ClawTeam formats
  • Domain-Specific Tasks: Finance (payment, invoicing, reconciliation), User (auth, permissions)
  • Source File Location: Precise source code location tracking

3. Context Document Generation

  • Business Rules: AI-executable business constraints and validation rules
  • Technical Specifications: Data models, API contracts, integration specifications
  • Validation Standards: Comprehensive testing requirements and coverage criteria
  • Integration Configuration: External system configuration with timeout/retry settings

4. Code Archaeology Integration

  • Unified Directory Structure: results/, process/, source/ subdirectories
  • Real Analysis Results: Extracts precise information from actual Code Archaeology output
  • Completeness Analysis: Validates document completeness and AI executability
  • Clarification Questions: Automatically generates questions for missing/incomplete information

Unified Workflow

Complete End-to-End Process

# 1. Generate complete workflow from minimal input
ai-plan-generator generate-complete-workflow input.json /path/to/code-archaeology

# 2. Creates standardized directory structure:
project-name/
├── project-name-campaign.md          # Campaign document
├── task-decomposition/              # Task decomposition  
│   ├── tasks.json                   # JSON format
│   ├── tasks.md                     # Markdown format
│   └── clawteam-tasks.json          # ClawTeam format
├── context-documents/               # Context documents
│   ├── business-rules.json          # Business rules
│   ├── technical-specs.yaml         # Technical specifications
│   ├── validation-standards.md      # Validation standards
│   ├── integration-config.json       # Integration configuration
│   └── analysis-report.json         # Completeness analysis report
└── process-files-report.json        # Process file location report

Code Archaeology Integration

# Convert Code Archaeology results to AI Plan Generator format
ai-plan-generator generate-context-from-archaeology \
  /path/to/project_code_archaeology \
  context-documents \
  finance

Minimal Input Requirements

Only 4 key pieces of information are required:

{
  "projectName": "dms-erp-finance-migration-v1",
  "businessGoal": "Migrate financial module to Java", 
  "scopeBoundary": "Backend services only, no frontend",
  "codeLocation": "src/main/java/com/dms/financialmanagement/"
}

Domain-Specific Intelligence

Financial Domain

  • Payment Processing: Contract payment handling with amount validation
  • Invoice Generation: Tax calculation, invoice types, compliance
  • Account Reconciliation: Partial refunds, multiple reconciliations
  • Security Requirements: Hardcoded credential removal, SQL injection prevention

User Management Domain

  • Authentication: Registration, login, session management
  • Authorization: Role-based permissions, fine-grained access control
  • Security: Password complexity, OAuth integration, CSRF protection

ClawTeam Integration

Generated artifacts are directly compatible with ClawTeam:

  • Campaign Documents: Used as team description for clawteam create
  • Task Decomposition: Directly importable as clawteam task create commands
  • Context Documents: Provide AI-executable reference for agent implementation
  • Completeness Analysis: Ensures high-quality input before team creation

Best Practices

Input Quality

  • Project Name: Include domain keywords (finance, user, order)
  • Business Goal: Be specific about core business value
  • Scope Boundary: Clearly define inclusions/exclusions
  • Code Location: Use complete package paths

Iteration Strategy

  • Start Simple: Begin with minimal input, let AI infer details
  • Validate Early: Run completeness analysis before team creation
  • Clarify Issues: Address high-priority clarification questions
  • Iterate Refinement: Use feedback to improve subsequent iterations

Example Use Cases

Legacy PHP to Java Migration

Input: Financial module migration from zbs_php to dms-erp Output: Complete campaign document with security remediation, task decomposition with data migration tasks, context documents with precise business rules

New Microservice Development

Input: Create new user authentication service Output: Campaign document with architecture decisions, task decomposition with OAuth integration, context documents with security requirements

API Modernization

Input: Standardize legacy RPC APIs to RESTful design Output: Campaign document with versioning strategy, task decomposition with backward compatibility, context documents with API specifications

AI Plan Generator v2 transforms minimal input into comprehensive, AI-executable documentation that powers successful ClawTeam continuous iteration.

平台分布

OpenClaw

97.28%
按下载量换算1,187

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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