
In March 2026, Kike Pérez developed a NotebookLM MCP-powered Deep Research Skill for the davila7/claude-code-templates repository, focusing on structured multi-source research and automated artifact generation. Leveraging AI research, workflow design, and documentation skills, Kike implemented a nine-step research workflow supporting six research types, with outputs including slides, audio, video, infographics, reports, and mind maps. The solution introduced a reusable research brief template and required integration with the NotebookLM MCP server. This work improved research efficiency and output quality, enabling scalable, client-ready materials. Collaboration with co-authors and use of Markdown ensured maintainable documentation and effective cross-team development.
March 2026 — Delivered NotebookLM MCP-powered Deep Research Skill in the davila7/claude-code-templates repo, enabling structured multi-source research with automatic artifact generation and a reusable research brief template. Implemented a 9-step research workflow and 6 research types, plus artifact generation (slides, audio, video, infographics, reports, mind maps). No major bugs fixed this month; maintenance tasks and NotebookLM MCP server onboarding are ongoing. Business impact: increased research efficiency, higher-quality outputs, and scalable templates for client-ready materials. Technologies demonstrated: NotebookLM MCP integration, structured research workflows, artifact pipelines, multi-source data handling, and collaborative development with co-authors.
March 2026 — Delivered NotebookLM MCP-powered Deep Research Skill in the davila7/claude-code-templates repo, enabling structured multi-source research with automatic artifact generation and a reusable research brief template. Implemented a 9-step research workflow and 6 research types, plus artifact generation (slides, audio, video, infographics, reports, mind maps). No major bugs fixed this month; maintenance tasks and NotebookLM MCP server onboarding are ongoing. Business impact: increased research efficiency, higher-quality outputs, and scalable templates for client-ready materials. Technologies demonstrated: NotebookLM MCP integration, structured research workflows, artifact pipelines, multi-source data handling, and collaborative development with co-authors.

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