knowledge▌

Automated knowledge site generator for any domain with AI-created content, design system-driven pages, and one-click deployment. \n \n Generates 20-30 core concepts with AI-authored descriptions, examples, and quiz questions tailored to the topic \n Implements four core learning modes: flashcards with keyboard shortcuts, progressive learn pages, knowledge quizzes, and searchable concept index \n Creates topic-specific homepage copy, statistics, and footer text via AI analysis; no template copyin

Skill by ara.so — Daily 2026 Skills collection.

Given a Wikipedia article reference (URL, lang+title, or free-form name), return structured content: canonical URL, title, language, lead summary, full section tree, infobox key/value pairs, thumbnail, image list, outbound article links, external links with section attribution, categories, last-revised timestamp, pageid, and revid. Handles redirects, disambiguation pages, and non-English editions.

FAQ identification from support tickets, step-by-step tutorial creation, screenshot/video script guidance, search optimization, and self-service deflection tracking.

Capture conversations and decisions into structured, linkable Notion pages for documentation and knowledge reuse. \n \n Supports six content types: decisions, how-to guides, FAQs, wiki entries, learning notes, and documentation pages, each with dedicated database templates and schemas. \n Workflow includes search and fetch of existing Notion pages to avoid duplication and establish proper linking and relations. \n Requires Notion MCP connection; includes setup steps for OAuth login and remote MC

Generates hierarchical AGENTS.md knowledge base files with complexity-scored subdirectory documentation. \n \n Discovers project structure through parallel explore agents, bash analysis, LSP codemap, and existing documentation to build a complete codebase map \n Scores directories by file count, code ratio, symbol density, and module boundaries to determine which subdirectories warrant their own AGENTS.md files \n Generates root AGENTS.md with overview, structure, conventions, and anti-patterns,

Build structured knowledge graphs for enhanced AI system performance through relational knowledge.

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Build and maintain high-quality knowledge bases for AI systems and human consumption.

Transforms conversations, discussions, and insights into structured documentation in your Notion workspace. Captures knowledge from chat context, formats it appropriately, and saves it to the right location with proper organization and linking.