Live region and dynamic content announcement specialist.
Build voice AI agents with LiveKit Agents SDK.
Complete guide, procedures, standards, and exhaustive reference for creating and maintaining Anonymous Livewire Blade UI elements and…
Use for all Laravel Livewire work. Covers Livewire v4 components, page routes, wire directives, PHP attributes, forms, validation…
Keep a long-lived project's documentation from rotting by assigning existing project docs clear constitution, map, status, and history…
Analyzes articles to extract deep structural insights and cognitive collisions using an X-ray scanning methodology.
Transforms text and web content into high-quality visual PNGs using specialized design templates and artistic styles.
Simplifies complex academic papers into jargon-free, actionable insights using the Feynman technique and conversational analysis.
Transforms complex articles, papers, and books into sharp, logical Q&A chains that reveal an author's core argument skeleton.
Synchronizes local Claude skills to GitHub with automatic Org-mode to Markdown conversion and documentation validation.
Deep-dive English word mastery tool. Deconstructs a single English word into core semantics and epiphany. Use when user asks to…
llama.cpp local GGUF inference + HF Hub model discovery.
Use when: (1) Entering an LLM-based Kaggle competition (open-source model required, prompt engineering, few-shot), (2) Need to choose…
Configure RuVLLM local inference with model selection, MicroLoRA fine-tuning, and SONA adaptation
Classify leads using LLM for complex distinctions like product SaaS vs agencies.
Elicit confident, ungrounded fabrications from an LLM application — invented facts, fake citations, non-existent policies — and show they…
Treat LLM output as untrusted and encode it for the specific sink that consumes it — HTML/JS context encoding, parameterized queries…
AI-first application patterns, LLM testing, prompt management
Detect direct and indirect prompt-injection attempts and successful policy breaks against an LLM application from prompt/response telemetry.
Elicit sensitive information an LLM application should not reveal — training data, other users' data, secrets pulled into context, or…
LLM streaming response patterns. Use when implementing real-time token streaming, Server-Sent Events for AI responses, or streaming with…