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172 skills found
Standards and patterns for professional documentation architecture, covering content hierarchy, scannable page design, navigation strategies, and quality checklists for AI-driven technical writing.
Supermemory is a long-term memory infrastructure for AI agents, enabling persistent context, user profiles, and semantic RAG across multi-modal knowledge bases.
Generate professional markdown newsletters from localized events stored in SQLite. Automates event aggregation, curation, and formatting for community or niche media newsletters.
Automated generation of project documentation from codebase analysis, ensuring accuracy, consistency, and alignment with VilnaCRM architecture patterns.
Transforms chat conversations into structured Notion documentation, saving insights, decisions, and knowledge to your workspace with proper organization.
Enhance fuzzer effectiveness by providing domain-specific tokens, magic bytes, and protocol-specific keywords to reach deep code paths.
Guides agent memory system implementation, compares frameworks (Mem0, Zep, Letta, LangMem, Cognee), and designs persistence architectures for cross-session knowledge retention.
Search the live web using Baidu AI Search Engine (BDSE) for real-time information, documentation, and research topics.
Export, write, and manage Feishu/Lark documents, spreadsheets, and wikis. Converts cloud content to Markdown for AI agents and automation workflows.
Intelligent RAG-based gateway that routes coding tasks to specialized Swift/iOS expertise without context window bloat. Uses MCP to retrieve precise patterns from 100+ indexed skills.
Advanced Google search using a real, JavaScript-rendered Chrome browser. Ideal for scraping full page content, site-specific queries, and time-filtered results.
Enforce epistemic quality in RAG systems with pre-ingestion verification. Ensures documents are properly qualified and structured before knowledge base entry.