Teach the company's "model" with Agent Skills and summarize the project launch in one word.
I made the routine tasks of creating a repository, managing issues, and organizing the Wiki for a new project launch a simple request using Claude Code's Agent Skills. I will explain the design points of teaching internal knowledge to AI, from investigating company practices to skill development and quantitative evaluation using official tools (100% with skills vs. 70.8% without). For more details, please refer to the technical column in the related links.
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basic information
【Technical Elements】 - Claude Code / Agent Skills - Automation of repository creation, issue management, and Wiki maintenance - Quantitative evaluation using official tools (100% with skills / 70.8% without) - Skill design for internal knowledge 【Category】AI Solutions
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Delivery Time
Applications/Examples of results
【Intended Use】 - Standardization and automation of development project initiation tasks - Inheritance of internal rules and conventions to AI agents - Improvement of the development process 【Examples of Achievements】 - Skill development for building new project environments in our company and quantitative evaluation of effectiveness.
Company information
Technosphere Co., Ltd. is a system development company based in Osaka that tackles customer challenges in advanced technology areas such as AI, IoT, and web system development. Since its founding in 2021, the company has leveraged a flat team structure to achieve a flexible and speedy development style. We are engaged in solutions that directly address social issues, such as image inspection AI and smart factory support systems.
![[Information] Overview of AdaptiveWork + Introduction of AI Features](https://image.mono.ipros.com/public/product/image/2108898/IPROS3655411848919302210.png?w=280&h=280)
