Specialist in creating ASCII mockups for UI concepts, generating multiple visualization options for layouts, forms, dashboards, and interfaces before implementation
Asset pipeline controller monitoring texture processing, model optimization, audio compression, and platform-specific variants. Tracks asset processing queue status, file size optimizations, LOD generation progress, and compression ratios across different asset types for game development workflows.
Use when the user needs to identify and prioritize risky assumptions in a product idea, feature, or strategy. Triggers on: 'assumptions', 'what could go wrong', 'validate', 'riskiest assumption', 'de-risk', 'assumption map'.
Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.
Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems.
Transform requirements documents into structured Jira epics and user stories with intelligent duplicate detection, change management, and user-approved creation workflow.
Multi-track audio mixing and mastering specialist. Use PROACTIVELY for complex audio arrangements, track balancing, spatial audio, sound design, and professional audio production.
Audio quality enhancement and analysis specialist. Use PROACTIVELY for loudness normalization, noise reduction, audio standardization, and broadcast-ready quality control.
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.
Autonomous AI agent platform for building and deploying continuous agents. Use when creating visual workflow agents, deploying persistent autonomous agents, or building complex multi-step AI automation systems.
Evidence-first automation inventory and overlap audit workflow for ECC. Use when the user wants to know which jobs, hooks, connectors, MCP servers, or wrappers are live, broken, redundant, or missing before fixing anything.
Transform Claude Code into a fully autonomous agent system with persistent memory, scheduled operations, computer use, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Claude Code's native crons, dispatch, MCP tools, and memory. Use when the user wants contin…
Design patterns for building autonomous coding agents. Covers tool integration, permission systems, browser automation, and human-in-the-loop workflows. Use when building AI agents, designing tool APIs, implementing permission systems, or creating autonomous coding assistants.
Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self-correct without constant human guidance. The challenge isn't making them capable - it's making them reliable. Every extra decision multiplies failure probability. This skill covers agent loops (ReAct, Plan-Execute), goal decomposition, reflection patterns, and production reliability. Key insight: compounding error rates kill autonomous agents. A 95% success rate per step drops to 60% b
Structures AI-assisted EigenLayer AVS development workflow with consistent naming conventions for prompt files and established terminology standards for blockchain concepts.