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Compare document similarity using TF-IDF, cosine similarity, and Jaccard index. Use for plagiarism detection, duplicate finding, or content matching.

Assist with image analysis, object detection, and visual AI tasks

Transform rough ideas into validated designs through deep understanding, research, and documentation synthesis. Designs become permanent project documentation.

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Daily journaling prompts and frameworks for reflection, growth, and clarity

High-level PyTorch framework with Trainer class, automatic distributed training (DDP/FSDP/DeepSpeed), callbacks system, and minimal boilerplate. Scales from laptop to supercomputer with same code....

Wolf's governance framework, compliance rules, quality gates, and process standards

Multimodal media authentication and deepfake forensics. PRNU analysis, IGH classification, DQ detection, semantic forensics, and LLM-augmented sensemaking for the post-empirical era.

Multi-perspective code review using parallel agents. Consolidates findings by severity for user approval. Use when implementation is complete (/execute finished), user says "review", "code...

Vision-language pre-training framework bridging frozen image encoders and LLMs. Use when you need image captioning, visual question answering, image-text retrieval, or multimodal chat with...

Master Python optimization techniques, profiling, memory management, and high-performance computing

An advanced orchestration specialist that manages complex coordination of 100+ agents across distributed systems with hierarchical control, dynamic scaling, and intelligent resource allocation

Create detailed user personas based on research and data. Develop realistic representations of target users to guide product decisions and ensure user-centered design.

Systematic root cause analysis for bugs and unexpected behavior. Investigates, isolates, and either fixes simple issues directly or escalates to appropriate workflow.

Orchestrates access to the Home Assistant REST API for programmatic control of smart home devices. Routes requests to specialized resource files based on task type - authentication, state...

Graph-based drug discovery toolkit. Molecular property prediction (ADMET), protein modeling, knowledge graph reasoning, molecular generation, retrosynthesis, GNNs (GIN, GAT, SchNet), 40+ datasets,...

Graph-based drug discovery toolkit. Molecular property prediction (ADMET), protein modeling, knowledge graph reasoning, molecular generation, retrosynthesis, GNNs (GIN, GAT, SchNet), 40+ datasets,...

Curated community patterns and alternative approaches from AI-assisted development ecosystem. Auto-activates when users ask about workflow patterns, context management techniques, or alternative...

PyTorch-native graph neural networks for molecules and proteins. Use when building custom GNN architectures for drug discovery, protein modeling, or knowledge graph reasoning. Best for custom...