Anti-Distill Skill / Social Coding

No human,no AI.

Koki is the creator of Anti-Distill Skill and initiator of Social Coding. She holds law degrees from China University of Political Science and Law and Doshisha University in Japan. Her work sits at the intersection of AI humanities, labor rights, women in tech, and legal technology, with a clear belief: AI should answer real social problems.

100K+ followers 2,300+ GitHub stars 20+ media features

Anti-Distill Skill

Anti-Distill Skill

A practical tool and public argument about how workers are being distilled by AI. When a company asks you to turn your know-how into a Skill, Anti-Distill helps you keep the judgment, hard-earned mistakes, and professional assets that should remain yours.

Skill Demo

Your company asks you to write a Skill? Keep the real knowledge.

Anti-Distill was inspired by the “colleague Skill” phenomenon: more companies are asking employees to convert personal experience into reusable AI Skills. It looks like knowledge management, but often turns human judgment, hard-won mistakes, and invisible networks into copyable corporate assets.

  • 01
    Read Import an existing Skill or knowledge document while preserving its structure.
  • 02
    Detect Identify the real experience, intuition, relationships, and mistakes hidden inside it.
  • 03
    Separate Generate a polished submission version while keeping the core knowledge in a private backup.
2,300+GitHub stars

GitHub link

Social Coding

Social Coding

A coding stance proposed by Koki: code should not only solve technical puzzles, but also respond to real conditions, labor relations, and human pain.

Silicon Valley Legal Tech Frontier

Silicon Valley
Legal Tech Frontier

As APAC Lead, Koki deeply participated in building a legal technology community across Silicon Valley, Tokyo, Beijing, Shanghai, and Hong Kong, connecting lawyers, AI engineers, founders, and investors around the practice of AI-native law firms.

Hosted by Koki

Developer Ecosystem

Three Koki-hosted gatherings across Hong Kong, Shanghai, and Osaka, where developers, designers, educators, and first-time builders met one another, learned practical AI workflows, solved problems together, and shared what they built.

Group photo from an AI-native design workshop in Hong Kong

August 16 · Hong Kong

Hong Kong Workshop

Participants brought design systems and live data into their projects, building interactive presentations, websites, and a Hong Kong weather dashboard. Live troubleshooting and a closing showcase made room for product feedback.

Group photo from an AI-native design workshop in Shanghai

July 25 · Shanghai

Shanghai Workshop

A three-hour workshop near Fudan University began with a step-by-step AI PPT tutorial. Participants then worked on their own websites, presentations, and product ideas, sharing feedback over food and wine.

Participants at an AI-native design meetup in Osaka

July 6 · Osaka

Osaka Meetup

A meetup near Nipponbashi Station brought together designers, developers, educators, and founders. Alongside an AI PPT tutorial, participants shared real estate brochures and a playful Osaka-inspired website.

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