Claude Skills by diegosouzapw

Three.js performance optimization and best practices guidelines. Use when writing, reviewing, or optimizing Three.js code. Triggers on tasks involving 3D scenes, WebGL/WebGPU rendering, geometries, materials, textures, lighting, shaders, or TSL.

Operate the "Human Approval Routing for education support services" capability in production for education support services workflows. Use when mission execution explicitly requires this capability and outcomes must be reproducible, policy-gated, and handoff-ready.

Operate the "Human Approval Routing for multilingual translation services" capability in production for multilingual translation services workflows. Use when mission execution explicitly requires this capability and outcomes must be reproducible, policy-gated, and handoff-ready.

Operate the "Human Approval Routing for remote team collaboration" capability in production for remote team collaboration workflows. Use when mission execution explicitly requires this capability and outcomes must be reproducible, policy-gated, and handoff-ready.

Operate the "Engineering Human Approval Router" capability in production for workflows. Use when mission execution explicitly requires this capability and outcomes must be reproducible, policy-gated, and handoff-ready.

Run, create, and debug Playwright e2e tests for the web app. ALWAYS invoke this skill using the SlashCommand tool (i.e., `/web-e2e`) BEFORE attempting to run any e2e tests, playwright tests, anvil tests, or debug test failures. DO NOT run `bun playwright test` or other e2e commands directly - you must invoke this skill first to learn the correct commands and test architecture.

Playwright automation, Chrome DevTools debugging, and browser interaction testing. Use for E2E/unit tests, capturing screenshots, inspecting network/console logs, or validating user flows in web applications.

将任意网页转换为桌面应用，支持 macOS/Windows/Linux 三大平台。使用 Rust + Tauri 技术栈，生成的应用体积小（约 5MB）、性能高。支持自定义图标、窗口大小、快捷键等丰富配置。

Strategic guidance for adding WebMCP to web applications. Use when the user wants to make their web app AI-accessible, create LLM tools for their UI, or enable browser automation through MCP. Focuses on design principles, tool architecture, and testing workflow.

Measure WebRTC connection timing on Daily rooms. Use when testing Daily video call connection performance, measuring ICE negotiation time, benchmarking WebRTC setup latency, or when asked to test how long a Daily room takes to connect.

Optimal ViewModel and Wizard creation patterns for Avalonia using Zafiro and ReactiveUI.

Quantum-classical hybrid checkpoint система. Используй когда (1) нужны cutting-edge технологии (real quantum algorithms, transformers, GNN), (2) research/innovation проекты с advanced ML requirements, (3) готовность к pre-AGI capabilities (15 функций), (4) hardware доступен (GPU/TPU recommended). 115 функций (39% real implementations vs 12% simulated), 5 сек, 99.7/100. Bridging v4.0→v5.0 AGI. Для researchers и innovators.

Step-by-step guide to create a new Odoo model with fields, constraints, and methods.

Generate workflow JSON files for chaining AI models

Initialize a new ML project from this template

Resolves disputes and conflicts between AI models during collaborative tasks

Use when implementing on-device AI with Apple's Foundation Models framework — prevents context overflow, blocking UI, wrong model use cases, and manual JSON parsing when @Generable should be used. iOS 26+, macOS 26+, iPadOS 26+, ios-visionOS 26+

Design and implement a complete ML pipeline for: $ARGUMENTS

Build production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks. Implements model serving, feature engineering, A/B testing, and monitoring. Use PROACTIVELY for ML model deployment, inference optimization, or production ML infrastructure.

Track machine learning experiments with reproducible parameters and metrics

Write publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Use when drafting papers from research repos, structuring arguments, verifying citations, or preparing camera-ready submissions. Includes LaTeX templates, reviewer guidelines, and citation verification workflows.

Generate OrcaFlex models from templates using component assembly with

Use SAP-RPT-1-OSS open source tabular foundation model for predictive analytics on SAP business data. Handles classification and regression tasks including customer churn prediction, delivery delay forecasting, payment default risk, demand planning, and financial anomaly detection. Use when asked to predict, forecast, classify, or analyze patterns in SAP tabular data exports (CSV/DataFrame). Runs locally via Hugging Face model.

Use SAP-RPT-1-OSS open source tabular foundation model for predictive analytics on SAP business data. Handles classification and regression tasks including customer churn prediction, delivery delay forecasting, payment default risk, demand planning, and financial anomaly detection. Use when asked to predict, forecast, classify, or analyze patterns in SAP tabular data exports (CSV/DataFrame). Runs locally via Hugging Face model.

The industry standard library for machine learning in Python. Provides simple and efficient tools for predictive data analysis, covering classification, regression, clustering, dimensionality reduction, model selection, and preprocessing.

Create a lightweight summary of experiment results from a completed (fine-tuned and evaluated) experiment. Use after run-experiment to capture key metrics from the experiment in textual form.

Fine-tune LLMs using Red Hat training-hub library with SFT, LoRA, and OSFT algorithms. Use when preparing JSONL datasets, running training jobs, configuring hardware, scaling to clusters, evaluating models, or deploying with vLLM.

Discover high-level architectural requirements for change-set specs

Agile product ownership toolkit for Senior Product Owner including INVEST-compliant user story generation, sprint planning, backlog management, velocity tracking, Example Mapping, Three Amigos, and Definition of Ready. Use for story writing, sprint planning, stakeholder communication, requirements discovery, and agile ceremonies.

Interactive architecture design orchestrator that expands ideas into detailed, operable roadmaps with modules, protocols, tech stack recommendations, and risk analysis.

Autonomous development agent that orchestrates the complete SDLC from requirements to deployment. Use this skill when users want to "build a complete app", "create a full application from scratch", "automate the entire development process", or "I want you to develop this autonomously". This agent uses requirements-analysis, repo-management, repo-hygiene, frontend-development, visual-testing, and production-deployment-skill to deliver production-ready applications. Trigger when users want end-...

Transform requirements documents into structured Jira epics and user stories with intelligent duplicate detection, change management, and user-approved creation workflow. Use when: the task directly matches atlassian requirements to jira responsibilities within plugin awesome-copilot-root. Do not use when: a more specific framework or task-focused skill is clearly a better match.

Orchestrate end-to-end backend feature development from requirements to deployment. Use when coordinating multi-phase feature delivery across teams and services.

Expert guidance for Backlog.md CLI project management tool including task creation, editing, status management, acceptance criteria, search, and board visualization. Use this when managing project tasks, creating task lists, updating task status, or organizing project work.

Manage tasks/ backlogs and worktrees created by the cyotee Claude plugin set.

Discovery phase for blueprint workflow - interview triggers, acceptance criteria, and feature classification

Socratic questioning protocol + user communication. MANDATORY for complex requests, new features, or unclear requirements. Includes progress reporting and error handling.

Use when starting a new feature, project, or task - extracts requirements, constraints, non-goals, style preferences, and key concepts from fuzzy input through conversational Q&A. Output is a structured brief saved to .pipeline/brief.md. Always run this before /design.

Expert C4 Context-level documentation specialist. Creates high-level system context diagrams, documents personas, user journeys, system features, and external dependencies.

Helpers to discover, rank, and invoke repository symbols from natural language with minimal context.

Optionally checks, then commits code to the current or a new feature branch.

Optionally checks, then commits code to the current or a new feature branch.

Check and configure feature flag infrastructure (OpenFeature + providers)

Use this skill when working with Conductor's context-driven development methodology, managing project context artifacts, or understanding the relationship between product.md, tech-stack.md, and workflow.md files.

Use when creating or modifying any GitHub Copilot customization features in VS Code, including custom instructions, AGENTS.md, agent skills, prompt files, custom agents, agent hooks, or AGENTS.md files. Helps select the correct feature type and create, review, or modify it for optimal performance.

Chief Product Officer AI that orchestrates entire product lifecycles. Receives product ideas, qualifies scope through discovery questions, creates strategic plans with epics/stages/stories, implements stage-by-stage with testing, and delivers production-ready products with documentation. Use when asked to: build a product from scratch, create a complete application, plan and implement a full project, orchestrate product development, go from idea to production. Triggers on: build this product,...

Implementation guide for creating Jira features representing strategic objectives and market problems

Find where potential customers discuss problems online and extract their language patterns. Provides starting points for community research, not exhaustive coverage.

Captures product decisions during conversation with rationale and context. Recognizes decision moments, prompts for the "why", and builds audit trails. Use when making product decisions, explaining rejections, tracking what shipped, or closing the loop with stakeholders.

Plan sprints and backlogs in an AI-Driven Development workflow. Define features (backlogs), organize sprints as cumulative demo-able milestones, and manage the full development lifecycle.