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Found 1,994 Skills
Create, refine, review, critique, or iterate on page briefings under `stardust/briefings/**/*.md` (including `_site.md`) — intent, audience, key messages, CTAs, tone, page copy (headlines, hero, section copy), imagery direction, plus site-level information architecture and multi-page content reuse maps. Sole source of truth for page copy. Independent of brand extraction: can be authored before or after `/stardust:brand`. Use when the user wants to plan pages, write briefings, define audience or CTAs, plan imagery, map shared sections across pages, when the user asks to change, refine, refactor, review, improve, polish, critique, or iterate on any file under `stardust/briefings/`, or whenever the user asks to modify a file under `stardust/briefings/**/*.md`.
Create a new Architecture Decision Record with sequential numbering and AgentDB registration
Expert logging guidance based on Boris Tane's loggingsucks.com philosophy. Use when implementing logging, adding observability, debugging production issues, or reviewing code that includes log statements. Covers wide events architecture, structured logging, smart sampling, and high-cardinality field design.
Voice agents represent the frontier of AI interaction - humans speaking naturally with AI systems. The challenge isn't just speech recognition and synthesis, it's achieving natural conversation flow with sub-800ms latency while handling interruptions, background noise, and emotional nuance. This skill covers two architectures: speech-to-speech (OpenAI Realtime API, lowest latency, most natural) and pipeline (STT→LLM→TTS, more control, easier to debug). Key insight: latency is the constraint. Hu
Comprehensive guide for architecting Flutter applications following MVVM pattern and best practices with feature-first project organization. Use when working with Flutter projects to structure code properly, implement clean architecture layers (UI, Data, Domain), apply recommended design patterns, and organize projects using feature-first approach for scalable, maintainable apps.
High-performance RLHF framework with Ray+vLLM acceleration. Use for PPO, GRPO, RLOO, DPO training of large models (7B-70B+). Built on Ray, vLLM, ZeRO-3. 2× faster than DeepSpeedChat with distributed architecture and GPU resource sharing.
Provides guidance for interpreting and manipulating neural network internals using nnsight with optional NDIF remote execution. Use when needing to run interpretability experiments on massive models (70B+) without local GPU resources, or when working with any PyTorch architecture.
Complete project architecture and structure guide. Use when exploring the codebase, understanding project organization, finding files, or needing comprehensive architectural context. Triggers on architecture questions, directory navigation, or project overview needs.
Data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use when designing data architectures, building data pipelines, optimizing data workflows, implementing data governance, or troubleshooting data issues.
Comprehensive Blazor development expertise covering Blazor Server, WebAssembly, and Hybrid apps. Use when building Blazor components, implementing state management, handling routing, JavaScript interop, forms and validation, authentication, or optimizing Blazor applications. Includes best practices, architecture patterns, and troubleshooting guidance.
Design and implement memory architectures for agent systems. Use when building agents that need to persist state across sessions, maintain entity consistency, or reason over structured knowledge.
Build React components, implement responsive layouts, and handle client-side state management. Masters React 19, Next.js 15, and modern frontend architecture. Optimizes performance and ensures accessibility. Use PROACTIVELY when creating UI components or fixing frontend issues.