Claudeism (3.69) clau·de·ism /ˈklɔːdiːz(ə)m/ noun: computational condition of wildly variable, often inversely proportional, utility. Characterized by: Cognitive Obfuscation: The propensity to produce obscure, illogical round trip gas lighters, rather than illuminate.
PyTorch library for audio generation including text-to-music (MusicGen) and text-to-sound (AudioGen). Use when you need to generate music from text descriptions, create sound effects, or perform melody-conditioned music generation.
Use when building joi schemas, validating input data, defining custom types, conditional validation with .when(), cross-field references, custom error messages, or writing joi extensions. Standalone package that integrates with the @hapi ecosystem.
Use this skill when creating or editing SND Lua macros for FFXIV. Provides metadata structure, state machine patterns, character conditions, configuration system, Player API, Entity system, Excel data access, and core utility functions.
Build signal-based forms in Angular v21+ using the new Signal Forms API. Use for form creation with automatic two-way binding, schema-based validation, field state management, and dynamic forms. Triggers on form implementation, adding validation, creating multi-step forms, or building forms with conditional fields. Signal Forms are experimental but recommended for new Angular projects.
Expert guidance for implementing FHIR RESTful API servers and clients following the HL7 FHIR specification. Use this skill when implementing a FHIR server with REST endpoints, building a FHIR client, designing FHIR API routes and handlers, implementing FHIR operations (read, create, update, delete, search, history), working with FHIR bundles, batch requests, or transactions, handling FHIR content negotiation, headers, and versioning, or implementing conditional operations. Trigger keywords include FHIR REST, FHIR API, FHIR server, FHIR client, FHIR endpoint, FHIR operations, RESTful FHIR, implement FHIR.
Build signal-based forms in Angular v21+ using the new Signal Forms API. Use for form creation with automatic two-way binding, schema-based validation, field state management, and dynamic forms. Triggers on form implementation, adding validation, creating multi-step forms, or building forms with conditional fields. Signal Forms are experimental but recommended for new Angular projects.
Implements three Bayesian sub-agents for hypothesis-driven development. Use when generating hypotheses, designing experiments, evaluating evidence, performing backwards reasoning from effects to causes, finding conditional variables, verifying results, or creating git worktree schemas. Agent 1 generates hypotheses and schemas; Agent 2 evaluates evidence and creates worktrees; Agent 3 performs backwards probability reasoning to find causes.
Use Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript. Supports NLP (text classification, translation, summarization), computer vision (image classification, object detection), audio (speech recognition, audio classification), and multimodal tasks. Works in Node.js and browsers (with WebGPU/WASM) using pre-trained models from Hugging Face Hub.
Implement ReasoningBank adaptive learning with AgentDBs 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing decision-making, or implementing experience replay systems.