notion-research-documentation

Build a personalized Notion engineering home from technical docs, project context, and chat or connected sources. Use to get started with an engineering wiki and a clear view of current work.

Create a team handbook in Notion from scattered processes, team documents, requests, and chat context. Make procedures easy to find, show who maintains them, and track related requests.

Turns scattered notes and recurring work into useful Notion trackers for requests, content plans, or team work.

Captures conversations and supplied notes as Notion wiki pages, how-to guides, FAQs, decision records, or retrospectives. Use when saving or updating durable knowledge from existing context; use research-documentation when new source discovery …

Prepares meeting agendas, internal pre-reads, and decision briefs using Notion context and relevant research. Use for meeting preparation, recurring meeting context, or updating meeting outcomes; use knowledge-capture for a standalone record of …

Organize a semester in Notion from course notes, syllabi, assignments, and chat context. Use when getting organized for a course or semester to keep notes clear and upcoming work easy to find.

Organize campaign briefs, content ideas, and production work in Notion. Use when planning a marketing campaign, building a content calendar, or tracking content production.

Create a useful initial Notion project home with tasks, docs, and meeting notes, then work with the user to confirm the team and choose a Projects database.

Rigor Explore compatible skill slug for meaningful and potentially novel deep learning research candidates. Use when the researcher has chosen the task family, dataset, benchmark, evaluation method, provided SOTA references, and wants …

Rigor Reproduce compatible skill slug for README-first deep learning repository reproduction. Use when the user wants an end-to-end, minimal-trustworthy flow that reads the repository first, selects the smallest documented inference or evaluation …

Rigor Train skill for deep learning research repositories. Use when a documented or selected training command should be run conservatively for startup verification, short-run verification, full kickoff, or resume, with command, config …

Rigor Improve / Rigor Explore run leaf skill for bounded exploratory evidence in deep learning research repositories. Use when the researcher explicitly authorizes exploratory runs such as small-subset validation, short-cycle guess-and-check, batch …

Search, scrape, crawl, extract structured data, and monitor web pages via the ScrapeGraph AI CLI.

Web search and content extraction with Tavily and Exa via inference.sh CLI. Apps: Tavily Search, Tavily Extract, Exa Search, Exa Answer, Exa Extract. Capabilities: AI-powered search, content extraction, direct answers, research.

When the user wants to create sales collateral, pitch decks, one-pagers, objection handling docs, or demo scripts. Also use when the user mentions 'sales deck,' 'pitch deck,' 'one-pager,' 'leave-behind,' 'objection handling,' 'deal-specific …

Read-only repository explorer for cold-start orientation, broad cross-file localization, or when a direct search failed. Skip it when the exact file or symbol is already named.