MLOps Industrialization
A framework to transform experimental ML prototypes into robust, production-ready Python packages using src layout, hybrid architecture, and strict configuration management.
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318 skills found
A framework to transform experimental ML prototypes into robust, production-ready Python packages using src layout, hybrid architecture, and strict configuration management.
Review backend pull requests with security enforcement and GitHub CLI integration in a strict read-only environment.
RPI Plan Phase: Create chunk-based, dependency-aware implementation plans from research documents for structured, atomic development.
Injects entropy into decision-making using Tarot card readings when user prompts are vague, casual, or require creative tie-breaking.
Comprehensive UI testing, visual fidelity analysis, and browser debugging using Chrome DevTools MCP and AI-driven vision models.
Maintenance patterns for the @youdotcom-oss/mcp STDIO bridge, focusing on transport lifecycle management, shutdown guards, and robust error handling.
Standardized Swift coding conventions, naming rules, and idiomatic patterns for clean, maintainable, and readable iOS/macOS development.
Generate professional Product Requirements Documents (PRD) and structure features for autonomous development cycles.
Advanced visual regression testing with pixel-perfect and AI-powered diff analysis, cross-browser validation, and responsive design checks to prevent UI regressions in CI/CD pipelines.
A testing utility for the npm-agentskills framework, designed to validate Nuxt module integration and skill discovery patterns.
Orchestrates Change Request Document workflows for brownfield projects, managing codebase context, impact analysis, and CRD document generation.
Autonomous multi-agent orchestration framework for Claude Code with memory-driven workflows, parallel-first task execution, Aristotle-based deconstruction, and multi-stage quality gates.