Skill UI

This comprehensive guide details the architecture of memory for intelligent agents. It covers the distinction between short-term context, long-term vector storage, and advanced cognitive models (CoALA framework: semantic, episodic, procedural). Learn how to implement robust memory retrieval mechanisms, select appropriate vector databases (Pinecone, Qdrant, etc.), and utilize embedding models to build truly context-aware, persistent AI applications.

Sets up and optimizes Cursor codebase indexing so your repo becomes searchable via semantic queries, improves AI context awareness, and powers @codebase features for faster navigation and chat-assisted coding.

Guides developers through mastering Cursor IDE tab completion and AI code suggestions, explaining how to trigger, accept, and configure ghost text workflows for consistent code style and context-aware results.

This skill acts as a specialized PR optimization expert, helping users create high-quality, comprehensive pull requests. It generates structured outputs including detailed descriptions, context-aware review checklists, risk assessments, test coverage comparisons, and size recommendations. Use it to automate best practices and ensure every code review is efficient and actionable.

Provides production-ready guidance for constructing retrieval-augmented generation pipelines, agent architectures, and LLMOps best practices, so teams can reliably deploy context-aware AI assistants with vector search, embeddings, and tool use.

Mamba provides selective state-space models with O(n) inference complexity, letting you handle million-token sequences faster than transformers while skipping KV caches and benefiting from a hardware-aware design. Use it for long-context language modeling, streaming applications, and scalable low-memory sequence learners.

Provides 139 proven marketing ideas for SaaS/software products, guiding you through context-aware recommendations, stage/budget considerations, and implementation tips to spark growth or resolve marketing plateaus.

Loads, matches, and persistently stores project memories so Claude Code sessions remember past decisions, preferences, and conventions for context-aware responses across workflows.

Provides production-ready TypeScript and Python patterns for TwinMind AI memory and meeting intelligence REST APIs, covering authenticated clients, memory storage/retrieval, meeting context creation, batching, and rate-limit aware retries to standardize integrations.

Self-hosted open-source alternative to NotebookLM for organizing research, ingesting diverse sources, generating AI notes, running context-aware chats, performing vector search, producing multi-speaker podcasts, and automating workflows via a REST API.

Guides product managers through TAM, SAM, and SOM calculations with adaptive questions, data citations, and context-aware prompts to build credible, investor-ready market size estimates for product ideas.

Generates and reviews Odoo XML definitions for Form, List, Kanban, Search, Calendar, and Graph views across versions 14–17, handling visibility, groups, domains, contexts, and widget rules with migration-aware syntax so you can deliver production-ready view XML.