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Agent Skill · 开发

ai-context-generator(AI 上下文生成器)

ai-context-generator 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。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-context-generator 是开发类 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,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 10,074。

总安装 2,421周安装 97GitHub Stars 公开资料未说明下载 784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
1.0.0

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-context-generator(AI 上下文生成器)
来源仓库:https://github.com/sopaco/ai-context-generator
安装命令:
openclaw skills install ai-context-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-context-generator

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

为编码代理生成 .ai-context 知识库,提升开发效率。适用于新建 AI 辅助开发项目或创建项目时自动激活。可结合项目代码和需求生成结构化上下文文档。安装命令:openclaw skills install ai-context-generator。建议确认是否会触发联网、命令执行或文件读写操作。

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-context-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-context-generator 怎么安装?

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

ai-context-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-context-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-context-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-context-generator 用的人多吗?

公开数据是累计安装 2,421 次,近一周安装 97 次,下载 784 次。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-context-generator 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

  • 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。
  • 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

  • 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。
  • 需要处理开发类任务、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

  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
ai-context-generator

AI 上下文生成器 · 本页

2,421—需要联网MIT-0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

name
ai-context-generator
description
|

AI Context Generator

A reusable skill for creating project knowledge bases that help coding agents work faster and smarter.

🎯 When to Use This Skill

Activate when:

  • Setting up a new project for AI-assisted development
  • User requests: "create ai-context", "setup project knowledge", "generate .ai-context"
  • Existing .ai-context is outdated and needs regeneration
  • After major project restructuring

Do NOT activate when:

  • Project already has fresh .ai-context (check SKILL.md date)
  • User asks for unrelated documentation
  • Simple code tasks with clear existing context

📋 What This Skill Generates

Creates a .ai-context/ directory with:

.ai-context/
├── SKILL.md                    # Entry point with activation rules
├── DYNAMICS.md                 # Active issues & constraints (Dynamic)
├── references/
│   ├── PROJECT-ESSENCE.md      # What & why (High stability)
│   ├── ARCHITECTURE.md         # Component relationships (Medium stability)
│   └── DECISIONS.md            # Design decisions (Update on change)
└── meta/
    ├── MAINTENANCE.md          # How to maintain this knowledge
    ├── templates/              # (Optional) Custom templates
    └── scripts/                # (Optional) Maintenance scripts

Stability Tiers

TierFileUpdate FrequencyToken Budget
0PROJECT-ESSENCE.mdQuarterly / Major version~500 tokens
1ARCHITECTURE.mdMonthly / Sprint~1000 tokens
2DECISIONS.mdPer decision change~800 tokens
3DYNAMICS.mdAs needed (issues)~600 tokens

🔧 Generation Process

Step 1: Gather Project Intelligence

Before generating, collect:

□ Read AGENTS.md (if exists) — operational rules
□ Read README.md — user-facing description
□ Read package.json — dependencies, scripts, entry points
□ Scan directory structure — identify components
□ Read docs/ or litho.docs/ — existing documentation
□ Identify key source files — main entry points
□ Note technology stack — frameworks, languages, platforms

Step 2: Extract Knowledge

For PROJECT-ESSENCE.md:

  • What is this project? (one sentence)
  • Why does it exist? (problem/solution)
  • Who is it for? (target users)
  • What does it provide? (key features)
  • Core constraints? (security, compatibility)

For ARCHITECTURE.md:

  • System diagram (ASCII or Mermaid)
  • Component responsibilities
  • Data flow between components
  • Key dependencies
  • Important patterns

For DECISIONS.md:

  • Non-obvious design choices
  • Trade-offs made
  • Constraints accepted
  • Decisions that might be revisited

For DYNAMICS.md:

  • Current blockers
  • Known workarounds
  • Temporary constraints
  • Recently resolved issues (brief)

Step 3: Generate Files

Use templates from templates/ directory:

  1. Start with SKILL.md — entry point with activation rules
  2. Generate references/PROJECT-ESSENCE.md — core identity
  3. Generate references/ARCHITECTURE.md — component map
  4. Generate references/DECISIONS.md — design rationale
  5. Generate DYNAMICS.md — active issues
  6. Generate meta/MAINTENANCE.md — upkeep guide

Step 4: Validate Quality

□ SKILL.md has clear activation triggers
□ PROJECT-ESSENCE.md readable in 2 minutes
□ ARCHITECTURE.md shows big picture (no code)
□ DECISIONS.md justified with rationale
□ DYNAMICS.md only contains current issues
□ All files dated at top
□ Total token budget < 4000 tokens

📝 Writing Principles

Do:

  • ✅ Write for someone who knows nothing about the project
  • ✅ Use diagrams over paragraphs
  • ✅ Focus on "why" not "how"
  • ✅ Keep files under 150 lines each
  • ✅ Link between related sections
  • ✅ Include "Last updated" dates

Don't:

  • ❌ Copy-paste code snippets (link to files instead)
  • ❌ Document every file/function
  • ❌ Include details that change frequently
  • ❌ Duplicate content across files
  • ❌ Use jargon without context

🔄 Integration with AGENTS.md

AGENTS.md = "How to work" (commands, style, rules)
.ai-context = "What the project is" (architecture, decisions, issues)

Both should be read at session start. They serve different purposes and should not overlap.


📚 Template Reference

Templates are provided in templates/:

TemplatePurpose
skill.md.tmplSKILL.md with placeholder prompts
essence.md.tmplPROJECT-ESSENCE.md structure
architecture.md.tmplARCHITECTURE.md with diagram prompts
decisions.md.tmplDECISIONS.md with ADR format
dynamics.md.tmplDYNAMICS.md with status tracking
maintenance.md.tmplMAINTENANCE.md guide

🛠️ Automation Scripts

Scripts in scripts/ can help with:

ScriptPurpose
generate.tsInteractive generation from templates
check-drift.tsCompare documented vs actual structure
audit-dynamics.tsFlag stale issues (>30 days)

💡 Example Usage

User: "Setup ai-context for my project"

Agent:

  1. Activate this skill
  2. Read AGENTS.md, README.md, package.json
  3. Scan directory structure
  4. Generate each file using templates
  5. Ask clarifying questions if needed:

- "What's the main problem this project solves?" - "Any non-obvious design decisions I should know about?" - "Current blockers or workarounds?"


⚠️ Important Notes

  • Generated knowledge is a starting point, not final truth
  • Agent should verify against actual code during first session
  • User should review generated content for accuracy
  • Schedule regular audits (monthly recommended)

📖 References


*This skill creates knowledge bases optimized for AI agents. For questions or improvements, see MAINTENANCE.md.*

平台分布

OpenClaw

82.96%
按下载量换算650

安全审计

VirusTotal

通过

ClawScan

通过

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。目前只有一个公开来源,建议同时核对源仓库。

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