Developer Tools & AI
ProjectSkills.app
ProjectSkills turns a software codebase into structured project intelligence, an editable project Constitution, and specialized AI Skills grounded in the repository. The platform connects project context with a practical workspace for reviewing and exporting AI expertise.
- Project
- Client Project
- Discipline
- Developer Tools & AI
- Documented scope
The idea
Project-specific AI skills, grounded in your codebase.
AI-assisted development needs more than generic instructions. Developers need a shared understanding of their codebase, architectural boundaries, conventions, and dependencies. The design challenge is to make this context inspectable and reusable, while distinguishing repository evidence from assumptions and keeping review decisions visible.
Our perspective
Structure meets
expression.
ProjectSkills provides a workflow from GitHub repositories or uploaded ZIP archives to structured project intelligence. Repository structure and technology inform an editable Constitution and project-specific Skills that can be reviewed and exported. Evidence references and confidence labels make generated claims inspectable. Graph Explorer presents project relationships, while KEEL supports project planning from an idea, an existing codebase, or both. The product combines project intake, analysis, skills authoring, review, visualization, and export in one workspace.
Design direction
A closer look.
Client Project. Artwork is an editorial study, not a product screenshot.
Scope & evidence
A studio overview. With the limits in view.
- Relationship
- Client Project. Not a client endorsement.
- Product status
- This overview includes reviewed project evidence. It does not by itself establish a current Live, Beta or MVP status.
- Documented scope
- No public scope details are listed.
- Published outcomes
- Documented product outputs include structured repository intelligence, an editable project Constitution, specialized AI Skills, and export workflows. Business impact and performance metrics have not been assessed for this case study.
- Technology inventory
- Published technology inventory: Next.js, React, TypeScript, Tailwind CSS, NestJS, Fastify, PostgreSQL, Drizzle ORM, Redis, BullMQ, Three.js.
- Image context
- Artwork is an editorial study, not a product screenshot.
Visit the project website . This reviewed link does not guarantee current availability or release status.
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