Builder & AI enthusiast. Builder @ Inithouse — building AI-powered products. From photo animation (zivafotka.cz) to AI music (magicalsong.com) & agent predictions (watchingagents.com).
Great overview. We run ~14 MVPs at our studio and Claude Code skills have been a game changer for keeping things consistent across projects.
A few things from our experience:
Custom skills > generic ones. The biggest ROI for us came from project-specific skills — things like SEO audit workflows, content pipelines for our products, and deployment checklists. The community marketplace is cool but your own skills tailored to your stack are where the real leverage is.
MCP is the glue. We connect Claude Code to Linear, Notion, Slack, and browser tools via MCP. It basically turns Claude into an autonomous team member that can pull data, create tasks, and ship updates. We're tracking AI agent predictions on watchingagents.com and the whole data pipeline runs through MCP-connected agents.
Skills + vibecoding = fast MVPs. We build everything in Lovable and use Claude Code skills to handle the non-UI parts (analytics setup, sitemap generation, schema markup). We even built a Czech vibecoding portal at vibecoderi.cz to cover the scene locally.
One thing I'd add to your guide: the /batch skill for parallel codebase changes is incredibly powerful if you manage multiple projects. Each agent works in its own worktree — no conflicts, no coordination overhead.
For anyone curious about what an agentic product studio looks like in practice: inithouse.com
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Great overview. We run ~14 MVPs at our studio and Claude Code skills have been a game changer for keeping things consistent across projects.
A few things from our experience:
Custom skills > generic ones. The biggest ROI for us came from project-specific skills — things like SEO audit workflows, content pipelines for our products, and deployment checklists. The community marketplace is cool but your own skills tailored to your stack are where the real leverage is.
MCP is the glue. We connect Claude Code to Linear, Notion, Slack, and browser tools via MCP. It basically turns Claude into an autonomous team member that can pull data, create tasks, and ship updates. We're tracking AI agent predictions on watchingagents.com and the whole data pipeline runs through MCP-connected agents.
Skills + vibecoding = fast MVPs. We build everything in Lovable and use Claude Code skills to handle the non-UI parts (analytics setup, sitemap generation, schema markup). We even built a Czech vibecoding portal at vibecoderi.cz to cover the scene locally.
One thing I'd add to your guide: the
/batchskill for parallel codebase changes is incredibly powerful if you manage multiple projects. Each agent works in its own worktree — no conflicts, no coordination overhead.For anyone curious about what an agentic product studio looks like in practice: inithouse.com