Automating 'Primary Screening' for Important Matters Explanation Surveys – Real Estate Appraiser Independently Develops and Releases Claude Skill 'Jūchō-kun,' Supporting 49 Items in Article 35 of the Real Estate Transaction Business Act
The Claude Skill 'Jūchō-kun,' developed by a real estate appraiser, has been released. It automates the primary screening for important matters explanation surveys based on Article 35 of the Real Estate Transaction Business Act, offering one-stop support for 49 items, including online due diligence, PDF key point extraction, and XLSX report output.
📋 Article Processing Timeline
- 📰 Published: April 28, 2026 at 19:00
- 🔍 Collected: April 28, 2026 at 10:32
- 🤖 AI Analyzed: April 28, 2026 at 11:15 (43 min after Collected)
Signal Yield Advisory (Roppongi, Minato-ku, Tokyo; Representative: Koichi Matsuda) released 'Jūchō-kun,' an LLM application that automates the primary screening for important matters explanation surveys based on Article 35 of the Real Estate Transaction Business Act, as a Claude Skill on April 28, 2026.
This skill provides one-stop support for automatically generating a 49-item survey checklist, conducting online due diligence on municipal websites and hazard maps, extracting key points from PDF documents like registration certificates, and outputting survey reports in XLSX format. It can be introduced with a single command into Claude Code / Claude Cowork.
A key feature is that it was developed by a real estate appraiser themselves, leveraging their domain expertise amidst the trend of AI democratization. It is free to use (no additional costs beyond Claude's contract fees).
Signal Yield Advisory is a real estate tech firm that assists real estate professionals in empowering themselves with AI. With the mission of 'AI empowerment for domain experts, implemented by domain experts themselves,' the company will successively release LLM applications for real estate professionals, promoting the AI implementation of practical knowledge.
■ Background of Development
Creating important matters explanation documents based on Article 35 of the Real Estate Transaction Business Act requires various processes, including on-site surveys, government office surveys, and document interpretation. Even the preliminary primary screening often takes one hour per person in charge.
Meanwhile, with the advancement of generative AI technology since 2024, an environment is being established where experts themselves can implement and publish their 'own business knowledge' as skills on LLM platforms such as Anthropic's Claude. With Anthropic releasing an official marketplace and multiple community-driven marketplaces emerging, the 'AI democratization' movement, where non-engineers AI-ify their own work, is rapidly expanding.
Jūchō-kun's workflow
■ Features of 'Jūchō-kun'
'Jūchō-kun' is implemented as an LLM application (Claude Skill) that runs on Claude Code and Claude Cowork. It is published as a marketplace on GitHub, and any Claude subscriber can install it for free (no additional costs beyond Claude's contract fees).
1. Developed by a domain expert
Koichi Matsuda, a real estate appraiser and developer, implemented his domain knowledge, gained from over 20 years of real estate appraisal practice and J-REIT management experience, as an LLM application. He aims to be a role model for 'AI democratization,' where practitioners, not engineers, develop AI themselves.
2. Automatic generation of a 49-item survey checklist based on Article 35 documents
By simply entering the property address, it automatically generates a checklist covering 49 survey items required for Article 35 documents (e.g., zoning, building coverage ratio/floor area ratio, road access, hazard information), complete with reference URLs.
Survey Summary Checklist
3. Automation of online government office surveys
Through cooperation with Claude in Chrome, it automatically patrols and collects the locations (URLs) of publicly available information such as municipal websites, urban planning information, and hazard maps.
4. PDF key point extraction
When PDF files such as registration certificates, urban planning maps, and architectural plan summaries are uploaded, the AI extracts key points related to important matters explanation and presents them in a structured format.
5. Automatic output of survey report (xlsx)
Collected information is organized and output in a survey report format (XLSX format, 4-sheet structure). This can be used for handover to the person in charge of creating important matters explanation documents and for case filing.
6. High-speed processing
From checklist generation to survey report output for one property, it takes approximately 1 minute and 30 seconds (according to our research) based on the primary screening process.
■ How to install
Installation is completed by simply launching Claude Code or Claude Cowork and executing the following single-line command.
After installation, you can request surveys using natural language.
■ Related Links - Repository:
https://github.com/pinotan2024-coder/jucho-kun
■ Developer's Comment
'The inefficiency in the important matters explanation survey process was the bottleneck itself,' Koichi Matsuda, the developer, noted. He focused on Anthropic's Claude Skills mechanism because he realized that domain knowledge could be directly skilled, and the barrier for users to use it was low. 'AI implementation' aims to become industry knowledge.
This skill provides one-stop support for automatically generating a 49-item survey checklist, conducting online due diligence on municipal websites and hazard maps, extracting key points from PDF documents like registration certificates, and outputting survey reports in XLSX format. It can be introduced with a single command into Claude Code / Claude Cowork.
A key feature is that it was developed by a real estate appraiser themselves, leveraging their domain expertise amidst the trend of AI democratization. It is free to use (no additional costs beyond Claude's contract fees).
Signal Yield Advisory is a real estate tech firm that assists real estate professionals in empowering themselves with AI. With the mission of 'AI empowerment for domain experts, implemented by domain experts themselves,' the company will successively release LLM applications for real estate professionals, promoting the AI implementation of practical knowledge.
■ Background of Development
Creating important matters explanation documents based on Article 35 of the Real Estate Transaction Business Act requires various processes, including on-site surveys, government office surveys, and document interpretation. Even the preliminary primary screening often takes one hour per person in charge.
Meanwhile, with the advancement of generative AI technology since 2024, an environment is being established where experts themselves can implement and publish their 'own business knowledge' as skills on LLM platforms such as Anthropic's Claude. With Anthropic releasing an official marketplace and multiple community-driven marketplaces emerging, the 'AI democratization' movement, where non-engineers AI-ify their own work, is rapidly expanding.
Jūchō-kun's workflow
■ Features of 'Jūchō-kun'
'Jūchō-kun' is implemented as an LLM application (Claude Skill) that runs on Claude Code and Claude Cowork. It is published as a marketplace on GitHub, and any Claude subscriber can install it for free (no additional costs beyond Claude's contract fees).
1. Developed by a domain expert
Koichi Matsuda, a real estate appraiser and developer, implemented his domain knowledge, gained from over 20 years of real estate appraisal practice and J-REIT management experience, as an LLM application. He aims to be a role model for 'AI democratization,' where practitioners, not engineers, develop AI themselves.
2. Automatic generation of a 49-item survey checklist based on Article 35 documents
By simply entering the property address, it automatically generates a checklist covering 49 survey items required for Article 35 documents (e.g., zoning, building coverage ratio/floor area ratio, road access, hazard information), complete with reference URLs.
Survey Summary Checklist
3. Automation of online government office surveys
Through cooperation with Claude in Chrome, it automatically patrols and collects the locations (URLs) of publicly available information such as municipal websites, urban planning information, and hazard maps.
4. PDF key point extraction
When PDF files such as registration certificates, urban planning maps, and architectural plan summaries are uploaded, the AI extracts key points related to important matters explanation and presents them in a structured format.
5. Automatic output of survey report (xlsx)
Collected information is organized and output in a survey report format (XLSX format, 4-sheet structure). This can be used for handover to the person in charge of creating important matters explanation documents and for case filing.
6. High-speed processing
From checklist generation to survey report output for one property, it takes approximately 1 minute and 30 seconds (according to our research) based on the primary screening process.
■ How to install
Installation is completed by simply launching Claude Code or Claude Cowork and executing the following single-line command.
After installation, you can request surveys using natural language.
■ Related Links - Repository:
https://github.com/pinotan2024-coder/jucho-kun
■ Developer's Comment
'The inefficiency in the important matters explanation survey process was the bottleneck itself,' Koichi Matsuda, the developer, noted. He focused on Anthropic's Claude Skills mechanism because he realized that domain knowledge could be directly skilled, and the barrier for users to use it was low. 'AI implementation' aims to become industry knowledge.