能力标签
🛠
AI工具

cre-agent-skills Cursor规则

开源 AI 工具,GitHub 社区精选
英文名:cre-agent-skills
⭐ 22 Stars 🍴 4 Forks 📄 Apache-2.0 🏷 AI 7.8分
7.8AI 综合评分
商业地产AI代理自动化分析Cursor规则财务建模
✦ AI Skill Hub 推荐

cre-agent-skills Cursor规则 是 AI Skill Hub 本期精选AI工具之一。综合评分 7.8 分,整体质量较高。我们推荐使用将其纳入你的 AI 工具库,帮助提升工作效率。

📚 深度解析
cre-agent-skills Cursor规则 是一款基于 Python 的开源工具,在 GitHub 上收获 0k+ Star,是商业地产、AI代理、自动化分析、Cursor规则领域中的优质开源项目。开源工具的最大优势在于代码完全透明,你可以审计每一行代码的安全性,也可以根据自身需求进行二次开发和定制。

**为什么要使用开源工具而非商业 SaaS?**
对于个人开发者和有隐私需求的用户,本地部署的开源工具意味着数据不离本机,不受第三方服务商的数据政策约束。同时,开源工具通常没有使用次数限制和月度费用,一次安装即可长期使用,对于高频使用场景的总拥有成本(TCO)远低于订阅制商业工具。

**安装与环境准备**
cre-agent-skills Cursor规则 依赖 Python 运行环境。建议通过 pyenv(Python)或 nvm(Node.js)管理 Python 版本,避免全局环境污染。对于新手用户,推荐先创建虚拟环境(python -m venv venv && source venv/bin/activate),再安装依赖,这样即使出现问题也可以随时删除虚拟环境重新开始,不影响系统稳定性。

**社区与维护**
GitHub Issue 和 Discussion 是获取帮助的最快渠道。在提问前建议先检查 Closed Issues(已关闭的问题),大多数常见问题都已有解答。遇到 Bug 时,提供 pip list 的输出、完整错误堆栈和最小可复现示例,能显著提高开发者响应速度。AI Skill Hub 将持续追踪 cre-agent-skills Cursor规则 的版本更新,及时通知重要功能变化。
📋 工具概览

为商业地产(CRE)承保、尽职调查和财务分析提供AI代理技能包。集成Cursor规则和Claude代码能力,帮助地产专业人士自动化复杂的数据分析和决策流程,提高工作效率。适合房地产投资机构、承保团队和财务分析师使用。

cre-agent-skills Cursor规则 是一款基于 Python 开发的开源工具,专注于 商业地产、AI代理、自动化分析 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。

GitHub Stars
⭐ 22
开发语言
多语言
支持平台
Windows / macOS / Linux
维护状态
轻量级项目,按需更新
开源协议
Apache-2.0
AI 综合评分
7.8 分
工具类型
AI工具
Forks
4
📖 中文文档
以下内容由 AI Skill Hub 根据项目信息自动整理,如需查看完整原始文档请访问底部「原始来源」。

为商业地产(CRE)承保、尽职调查和财务分析提供AI代理技能包。集成Cursor规则和Claude代码能力,帮助地产专业人士自动化复杂的数据分析和决策流程,提高工作效率。适合房地产投资机构、承保团队和财务分析师使用。

cre-agent-skills Cursor规则 是一款基于 Python 开发的开源工具,专注于 商业地产、AI代理、自动化分析 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。

📌 核心特色
  • 开源免费,支持本地部署,数据完全自主可控
  • 活跃的 GitHub 开源社区,持续迭代更新
  • 提供详细文档和使用示例,新手友好
  • 支持自定义配置,灵活适配不同使用环境
  • 可作为基础组件集成进现有技术栈或进行二次开发
🎯 主要使用场景
  • 本地部署运行,保护数据隐私,满足合规要求
  • 自定义集成到现有系统,扩展技术栈能力
  • 作为开源基础组件进行商业化二次开发
以下安装命令基于项目开发语言和类型自动生成,实际以官方 README 为准。
安装命令
# 克隆仓库
git clone https://github.com/ahacker-1/cre-agent-skills
cd cre-agent-skills

# 查看安装说明
cat README.md

# 按 README 完成环境依赖安装后即可使用
📋 安装步骤说明
  1. 访问 GitHub 仓库页面
  2. 按照 README 文档完成依赖安装
  3. 根据系统环境完成初始化配置
  4. 参考官方示例或文档开始使用
  5. 遇到问题可在 GitHub Issues 中查找解答
以下用法示例由 AI Skill Hub 整理,涵盖最常见的使用场景。
常用命令 / 代码示例
# 查看帮助
cre-agent-skills --help

# 基本运行
cre-agent-skills [options] <input>

# 详细使用说明请查阅文档
# https://github.com/ahacker-1/cre-agent-skills
以下配置示例基于典型使用场景生成,具体参数请参照官方文档调整。
配置示例
# cre-agent-skills 配置说明
# 查看配置选项
cre-agent-skills --config-example > config.yml

# 常见配置项
# output_dir: ./output
# log_level: info
# workers: 4

# 环境变量(覆盖配置文件)
export CRE_AGENT_SKILLS_CONFIG="/path/to/config.yml"
📑 README 深度解析 真实文档 完整度 84/100 查看 GitHub 原文 →
以下内容由系统直接从 GitHub README 解析整理,保留代码块、表格与列表结构。

CRE Agent Skills — AI-Powered Commercial Real Estate Analysis

50 CRE skills. No orchestrator required.

Most CRE operators don't need another AI platform.

They need one sharp tool for the thing on their desk right now. The rent roll they're cleaning tonight. The IC memo due Thursday. The lender comparison they've been avoiding for a week. The quarterly LP report due Friday.

So I took my own orchestrator apart and gave it to them.

A while back I shipped a full multi-agent CRE Acquisition Orchestrator — 31 skills wired together across due diligence, underwriting, financing, legal, closing, and document ingestion. Some operators loved it. They wanted the full stack running like a junior analyst team that never sleeps.

But most people I talked to didn't want that.

Not yet.

They had a specific piece of work already in front of them. They didn't want to adopt a whole system. They wanted one good tool for the one thing they were doing right now.

The all-in-one AI platform pitch is a bad fit for how CRE work actually moves. Deals don't wait for you to adopt a pipeline. They land on your desk in pieces.

So I pulled every skill out.

Made each one a clean, standalone file you drop into your own setup — Claude Code, Claude Projects, ChatGPT, Cursor, or any LLM-powered tool.

Then I kept going.

Added a full Industrial pack.

Added a Brokerage Investment Sales pack.

Added an Asset Management pack for post-acquisition operations — budgets, variance, renewals, capex execution, NOI improvement, hold/sell/refi decisions, and quarterly LP reviews.

Built knowledge bases — real references, not placeholders. Every benchmark traces to a cited source.

Grab it. Apache 2.0. No API keys. No signup. Clone, star, come back.

Here's where I want to land.

I want this to be the most helpful AI resource in commercial real estate. Period. Not a product I sell. A growing set of building blocks you pick from. Scaffolding for the work you're already trying to think through.

License: Apache 2.0 Skills Knowledge Bases Research Notes Claude Code Plugins No API Keys

---

**50** AI Skills**15** Knowledge Bases**9** Claude Code Plugins**0** Dependencies
**7** Due Diligence**3** Underwriting**3** Financing**9** Asset Management v1

---

No API keys. No installation. No dependencies. Each .md file works on its own.
Disclaimer: These skill files are educational and informational resources, not production software for making investment decisions. The financial calculations, legal checklists, underwriting models, and analysis outputs are for reference and learning purposes only. Nothing in this repository constitutes financial, legal, investment, or tax advice. The authors and contributors are not liable for any decisions made based on information produced using these skills. Always consult qualified professionals — licensed attorneys, CPAs, commercial real estate brokers, and financial advisors — before making real estate investment decisions. These materials are provided "as is" without warranty of any kind. See LICENSE for full terms.

---

What's the difference between `skills/` and `claude-code-plugins/`?

The skills/ directory contains individual .md files — one per analysis task. Use these when you want a single skill in any AI platform.

The claude-code-plugins/ directory packages those same skills into department-level bundles for Claude Code, with a SKILL.md entry point that adds slash command support, automatic routing, and bundled knowledge bases. Use these if you're working in Claude Code and want the full department toolkit.

Install the due diligence plugin (example)

cp -r cre-agent-skills/claude-code-plugins/cre-due-diligence ~/.claude/skills/

How to Install

Each plugin is a self-contained directory inside claude-code-plugins/. Install the ones you need:

Method A: Personal Skills (Available in All Projects)

Copy plugins to your personal Claude Code skills directory:

```bash

Install individual plugins

cp -r claude-code-plugins/cre-due-diligence ~/.claude/skills/ cp -r claude-code-plugins/cre-underwriting ~/.claude/skills/ cp -r claude-code-plugins/cre-financing ~/.claude/skills/ cp -r claude-code-plugins/cre-legal ~/.claude/skills/ cp -r claude-code-plugins/cre-closing ~/.claude/skills/ cp -r claude-code-plugins/cre-document-ingestion ~/.claude/skills/

Or install ALL plugins at once

cp -r claude-code-plugins/* ~/.claude/skills/


PowerShell equivalent:
powershell git clone https://github.com/ahacker-1/cre-agent-skills.git Set-Location .\cre-agent-skills

New-Item -ItemType Directory -Force "$HOME\.claude\skills" | Out-Null Copy-Item -Recurse .\claude-code-plugins\* "$HOME\.claude\skills\"


After installation, the plugins are available in every Claude Code session. Type `/cre-` and autocomplete will show all installed plugins.

#### Method B: Project-Level Skills (Available in One Project)

If you want skills scoped to a specific deal or project:
bash

Install only the plugins you need for this project

cp -r /path/to/cre-agent-skills/claude-code-plugins/cre-due-diligence .claude/skills/ cp -r /path/to/cre-agent-skills/claude-code-plugins/cre-underwriting .claude/skills/


PowerShell equivalent:
powershell New-Item -ItemType Directory -Force .\.claude\skills | Out-Null Copy-Item -Recurse C:\path\to\cre-agent-skills\claude-code-plugins\cre-industrial .\.claude\skills\

Brokerage v1 example:
powershell New-Item -ItemType Directory -Force .\.claude\skills | Out-Null Copy-Item -Recurse C:\path\to\cre-agent-skills\claude-code-plugins\cre-brokerage .\.claude\skills\

Project-level skills take priority over personal skills with the same name. You can commit the `.claude/skills/` directory to git so your team shares the same skills.

#### Method C: Using `--add-dir` (No Installation)

Reference the plugins directory directly without copying:
bash

Installation Methods

Different AI platforms have different ways to load skills. Here's how to use them everywhere:

"I'm building next year's budget"

  1. Annual Operating Budget Builder → line-by-line budget from T-12 + rent roll + market benchmarks
  2. Monthly Variance Analyst → once actuals arrive, classify each variance as Timing / Permanent / One-Time

Can I use just one skill without installing everything?

Yes. Every skill file in the skills/ directory is completely self-contained. Open the file, copy the content, paste it into your AI tool. You don't need the full repo.

Quick Start

Any LLM (API Usage)

Include skill content in your system prompt:

import anthropic

skill = open("skills/due-diligence/rent-roll-analyst.md").read()
knowledge = open("knowledge/multifamily-benchmarks.md").read()

client = anthropic.Anthropic()
response = client.messages.create(
    model="claude-sonnet-4-20250514",
    system=f"{skill}\n\n---\n\nReference Knowledge:\n{knowledge}",
    messages=[
        {"role": "user", "content": "Analyze this rent roll: [paste data]"}
    ]
)

---

Example Usage

Example: Rent Roll Analysis

Step 1: Load skills/due-diligence/rent-roll-analyst.md into your AI tool (or use /cre-due-diligence in Claude Code)

Step 2: Optionally also load knowledge/multifamily-benchmarks.md for market benchmarks

Step 3: Provide your inputs:

Analyze this rent roll for Parkview Apartments, a 200-unit Class B multifamily at 1200 Park Avenue, Austin TX 78701. [paste rent roll data — unit numbers, tenant names, lease dates, monthly rents, deposits, status] Asking rents: Studio $1,050, 1BR $1,250, 2BR $1,550, 3BR $1,850

Step 4: Get back structured analysis — unit summary, occupancy metrics, loss-to-lease calculation, tenant concentration risks, anomalies, revenue projections, and confidence scoring.

Example: Full Deal Package Processing

``` /cre-document-ingestion I just received the deal package for Riverside Gardens. Here are the files: [upload rent roll, T-12, offering memo]

Example: Industrial v1 Workflow

/cre-document-ingestion Classify this industrial deal package
/cre-industrial Analyze the market for this 180,000 SF shallow-bay asset
/cre-industrial Review the lease roster and rollover risk
/cre-industrial Build the underwriting view
/cre-industrial Write the IC memo

Example: Brokerage Investment Sales v1 Workflow

/cre-brokerage Run assignment intake for this suburban office listing
/cre-brokerage Build a broker opinion of value for this property
/cre-brokerage Draft the listing proposal and OM structure
/cre-brokerage Coordinate the buyer process and data room
/cre-brokerage Level the bids and recommend the next step

Example: Asset Management v1 Workflow

/cre-asset-management Build the 2027 operating budget from this T-12 and rent roll
/cre-asset-management Analyze the March YTD variance and classify each line
/cre-asset-management Run aging analysis on this rent roll and recommend collection actions
/cre-asset-management Which expiring leases should we push on renewal vs let walk
/cre-asset-management Track this month's value-add capex execution vs plan
/cre-asset-management Give me the prioritized NOI improvement lever list
/cre-asset-management Compare hold vs refi vs sell for this asset at year 3
/cre-asset-management Draft the Q1 Asset Review memo for the LP

---

Option 2: Copy a Single Skill File

  1. Browse the Skill Index below
  2. Open the .md file for the task you need
  3. Copy its content into Claude Projects, ChatGPT Custom Instructions, Cursor rules, or any LLM system prompt
  4. Provide the inputs listed in "What You'll Need to Provide"
  5. Get structured, expert-level analysis back

Option 3: Point an AI Agent at This Repo

If you're using an AI coding agent (Claude Code, Cursor, Windsurf, etc.), you can point it at this repo and ask it to set things up for you:

```bash git clone https://github.com/ahacker-1/cre-agent-skills.git cd cre-agent-skills

Plugin Structure (For Reference)

Each plugin follows this pattern:

cre-{department}/
├── SKILL.md          # Entry point — YAML frontmatter + routing logic
├── skills/           # Specialist skill files (the actual analysis prompts)
│   ├── skill-one.md
│   ├── skill-two.md
│   └── ...
└── knowledge/        # Domain knowledge reference files (formulas, benchmarks, criteria)
    ├── relevant-knowledge-base-1.md
    └── relevant-knowledge-base-2.md

The SKILL.md file contains YAML frontmatter that tells Claude Code: - name — the slash command name (e.g., cre-due-diligence) - description — when Claude should automatically consider using this skill - argument-hint — what to show in autocomplete

The body of SKILL.md routes the user's request to the right specialist skill file, which Claude loads on demand. Knowledge base files provide reference data (formulas, benchmarks, criteria) that the specialist skills draw on.

---

Or reference via --add-dir in Cursor's Claude Code integration

```

Do I need API keys to use these skills?

No. These are plain Markdown files. You load them into whatever AI tool you already use. There are no API calls, no external services, no dependencies.

Available Plugins

PluginSlash CommandSkills IncludedKnowledge Bases Included
**Due Diligence**/cre-due-diligence7 skills (rent roll, OpEx, market, physical, environmental, title, tenant credit)Underwriting Calc, Multifamily Benchmarks, Risk Scoring
**Underwriting**/cre-underwriting3 skills (financial model, scenarios, IC memo)Underwriting Calc, Multifamily Benchmarks
**Financing**/cre-financing3 skills (lender outreach, quote comparator, term sheet)Lender Criteria, Underwriting Calc
**Legal**/cre-legal6 skills (PSA, title/survey, estoppels, loan docs, insurance, transfer docs)Legal Checklist
**Closing**/cre-closing2 skills (closing coordinator, funds flow)Legal Checklist, Underwriting Calc
**Asset Management v1**/cre-asset-management9 skills (budgeting, variance, collections, renewals, lease-up, capex, NOI improvement, hold/sell/refi, quarterly asset review memo)Asset Management Benchmarks, Asset Management Reporting Standards, Renewal Economics
**Document Ingestion**/cre-document-ingestion4 skills (classifier, rent roll parser, financials parser, OM parser)None (self-contained)
**Industrial v1**/cre-industrial8 skills (market study, lease roster, lease abstract, tenant credit, physical inspection, underwriting, financing fit, IC memo)Industrial Benchmarks, Industrial Lease Structures, Industrial Lender Criteria
**Brokerage v1**/cre-brokerage8 skills (assignment intake, BOV, listing proposal, OM / teaser, buyer process, bid leveling, negotiation brief, PSA-to-close coordination)Brokerage Investment Sales Process, Broker Opinion of Value Guidance, Marketing Confidentiality and Buyer Process, Offer Negotiation and Closing Playbook

Launch Claude Code with the plugins directory

claude --add-dir /path/to/cre-agent-skills/claude-code-plugins/cre-due-diligence ```

This loads the plugin for the current session only. Skills from --add-dir directories are detected automatically and support live editing — you can modify skill files during a session without restarting.

Using the Plugins

Once installed, invoke any plugin with its slash command:

```bash

Common Workflows

"I just got a new deal package"

  1. Document Classifier → identify what's in the package
  2. Rent Roll Parser + Financials Parser + Offering Memo Parser → extract structured data
  3. Rent Roll Analyst + OpEx Analyst → validate the numbers
  4. Financial Model Builder → build the pro forma

"I need a U.S. industrial acquisition workflow"

  1. Document Classifier → inventory incoming files
  2. Industrial Market Study → evaluate the submarket and building fit
  3. Industrial Lease Roster Analyst → measure WALT, concentration, and rollover
  4. Industrial Lease Abstract Reviewer → abstract reimbursements, repairs, options, and transfer rights
  5. Industrial Physical Inspection → assess condition and competitiveness
  6. Industrial Underwriting Model Builder → build the lease-driven base case
  7. Industrial Financing Fit → identify likely lender lanes
  8. Industrial IC Memo Writer → summarize the investment case

"I need a seller-side investment sales workflow"

  1. Assignment Intake Manager → organize authority, seller goals, and missing data
  2. Broker Opinion of Value Builder → build the pricing recommendation
  3. Listing Proposal Builder → prepare the seller-facing proposal
  4. Offering Memorandum and Teaser Writer → create the buyer-facing marketing package
  5. Buyer Process and Data Room Manager → control confidentiality, buyer vetting, tours, and Q&A
  6. Call for Offers and Bid Leveling Analyst → compare bids and recommend leveling or BAFO
  7. Deal Term Negotiation Brief Builder → frame the seller-side negotiation posture
  8. PSA to Close Transaction Coordinator → coordinate the deal through closing

---

How do the Claude Code plugins know which skill to use?

Each plugin's SKILL.md file contains a routing table. When you invoke /cre-due-diligence Analyze this rent roll, Claude reads the routing table, identifies that rent roll analysis maps to skills/rent-roll-analyst.md, loads that file, and follows its instructions. You don't need to know the individual skill file names.

Want the Full Pipeline?

These skills are extracted from the CRE Acquisition Orchestrator — a 31-agent multi-agent system that runs all of these skills together with:

  • Hierarchical orchestration — master → phase → specialist agents
  • Phase dependencies and parallel execution — Legal starts at DD 80%
  • JSON Schema data contracts — every handoff validated at runtime
  • 3-tier checkpoint/resume — nothing lost on interruption
  • Real-time 9-tab React dashboard — live pipeline visualization
  • Deterministic simulation engine — no API keys needed to demo
  • Investment committee memo generation — automated go/no-go verdict

If you want individual tools, you're in the right place. If you want the full automated pipeline, check out the orchestrator.

---

FAQ

🇨🇳 中文文档镜像 AI 翻译 2026-05-23
英文原文章节由系统翻译为中文摘要,便于快速理解。完整原文见上方 "📑 README 深度解析"。
📌 简介

该项目是 CRE Agent Skills,一个 AI-powered 商业房地产分析工具,提供 50 个 CRE 技能,无需使用 orchestrator。它旨在为房地产操作者提供一个方便的工具,帮助他们解决当前的工作任务,例如清洗租金表、撰写 IC 记录、比较贷款方案等。

⚡ 功能介绍

该项目的功能包括 skills/ 和 claude-code-plugins/ 两个目录。skills/ 目录包含单独的 .md 文件,每个文件对应一个分析任务。claude-code-plugins/ 目录则将这些技能打包成部门级别的插件,包括 SKILL.md 入口点、斜杠命令支持、自动路由和知识库。用户可以根据需要选择使用哪个目录。

🛠 安装步骤(Docker/pip/源码)

安装 CRE Agent Skills 的步骤包括将 claude-code-plugins/ 目录中的插件复制到 Claude Code 的技能目录中。具体步骤如下:

🚀 使用教程

使用 CRE Agent Skills 的步骤包括快速入门、API 使用和配置说明。快速入门包括将技能内容包含在系统提示中,API 使用包括将技能内容包含在系统提示中并使用 Anthropic API。配置说明包括选项 1:Claude Code 插件和选项 2:复制单个技能文件等。

⚙️ 配置说明(含 MCP / env)

配置 CRE Agent Skills 的步骤包括选项 1:Claude Code 插件和选项 2:复制单个技能文件等。选项 1:Claude Code 插件包括安装部门插件的步骤。选项 2:复制单个技能文件包括复制技能文件、提供输入和获取结构化分析等步骤。

🔌 API 说明

CRE Agent Skills 的 API 结构包括 SKILL.md 入口点、技能文件和知识库。技能文件包括单独的 .md 文件,每个文件对应一个分析任务。知识库包括域知识参考文件,例如公式和基准值等。

🔄 工作流/模块

CRE Agent Skills 的工作流包括 Claude Code 插件和复制单个技能文件等。Claude Code 插件包括安装部门插件的步骤,复制单个技能文件包括复制技能文件、提供输入和获取结构化分析等步骤。

❓ FAQ 摘要

CRE Agent Skills 的常见问题包括是否需要 API 密钥、如何安装插件和如何使用技能等。答案是:不需要 API 密钥,插件可以直接复制到 Claude Code 的技能目录中,技能可以直接包含在系统提示中并使用 Anthropic API 等。

🎯 aiskill88 AI 点评 A 级 2026-05-22

针对性强的垂直领域AI技能集,整合Cursor工具链,降低CRE分析门槛。文档和社区支持需加强,但应用前景广阔。

📚 实用指南(长尾问题)
适合谁
  • 使用 Cursor 编辑器、希望提升 AI 编程效率的开发者
  • 构建多智能体协作系统的 Agent 开发者
  • 跨境业务、多语言内容运营团队
最佳实践
  • Agent 任务先做 dry-run 验证工具调用链,再开启自主执行
  • Cursor rules 控制在 80 行内,否则模型上下文成本会显著上升
常见错误
  • API key 直接提交到 git 仓库(请用 .env 并加入 .gitignore)
部署方案
  • 云端托管:可放在 Vercel / Railway / Fly.io 等 PaaS 平台
相关搜索
cre-agent-skills 中文教程cre-agent-skills 安装报错怎么办cre-agent-skills Agent 工作流cre-agent-skills 与同类工具对比cre-agent-skills 最佳实践cre-agent-skills 适合谁用
⚡ 核心功能
👥 适合谁
  • 使用 Cursor 编辑器、希望提升 AI 编程效率的开发者
  • 构建多智能体协作系统的 Agent 开发者
  • 跨境业务、多语言内容运营团队
⭐ 最佳实践
  • Agent 任务先做 dry-run 验证工具调用链,再开启自主执行
  • Cursor rules 控制在 80 行内,否则模型上下文成本会显著上升
⚠️ 常见错误
  • API key 直接提交到 git 仓库(请用 .env 并加入 .gitignore)
👥 适合人群
AI 技术爱好者研究人员和学生开发者和工程师技术创业者
🎯 使用场景
  • 本地部署运行,保护数据隐私,满足合规要求
  • 自定义集成到现有系统,扩展技术栈能力
  • 作为开源基础组件进行商业化二次开发
⚖️ 优点与不足
✅ 优点
  • +Apache-2.0 协议,可免费商用
  • +完全开源免费,无授权费用
  • +本地部署,数据完全自主可控
  • +开发者社区支持,遇问题可查可问
⚠️ 不足
  • 安装和初始配置可能需要一定技术基础
  • 功能完整性通常不如成熟商业产品
  • 技术支持主要依赖开源社区,响应速度不稳定
⚠️ 使用须知

AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。

建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。

📄 License 说明

✅ Apache 2.0 — 宽松开源协议,可商用,需保留版权声明和 NOTICE 文件,含专利授权条款。

🔗 相关工具推荐
📚 相关教程推荐
📰 相关 AI 新闻
🍿 AI 圈相关吃瓜
🗺️ 相关解决方案
🧩 你可能还需要
基于当前 Skill 的能力图谱,自动补全的工具组合
❓ 常见问题 FAQ
支持Excel、PDF财报、扫描文件等常见商业地产文档格式。
💡 AI Skill Hub 点评

经综合评估,cre-agent-skills Cursor规则 在AI工具赛道中表现稳健,质量良好。如果你已有明确的使用需求,可以直接上手体验;如果还在评估阶段,建议对比同类工具后再做决策。

📚 深入学习 cre-agent-skills Cursor规则
查看分步骤安装教程和完整使用指南,快速上手这款工具
🌐 原始信息
原始名称 cre-agent-skills
原始描述 开源Cursor规则:Commercial real estate AI agent skills for CRE underwriting, due diligence, fina。⭐22
Topics 商业地产AI代理自动化分析Cursor规则财务建模
GitHub https://github.com/ahacker-1/cre-agent-skills
License Apache-2.0
🔗 原始来源
🐙 GitHub 仓库  https://github.com/ahacker-1/cre-agent-skills 🌐 官方网站  https://www.theaiconsultingnetwork.com/

收录时间:2026-05-16 · 更新时间:2026-05-19 · License:Apache-2.0 · AI Skill Hub 不对第三方内容的准确性作法律背书。