kiro-kit

Produce .pptx architecture presentations (title, context, component, sequence, deployment slides) with python-pptx. Use when the user asks for an architecture deck, solution presentation, design review slides, or any .pptx deliverable about a system design.

Produce .docx Solution Architecture Documents (SAD) with python-docx — context, requirements, views, decisions, NFRs. Use when the user asks for an architecture document, solution design document, HLD/LLD, or any .docx deliverable describing a system design.

Author Mermaid diagrams for architecture work — C4 context/container/component, sequence, deployment, flowchart, and state diagrams with copy-paste examples and CLI validation. Use when the user wants a text-based diagram, a diagram embedded in Markdown, or a quick architecture sketch.

Create production-grade frontend interfaces when backend services need admin panels, dashboards, or API documentation UIs. Use when building web interfaces for backend services.

Process multimedia files with FFmpeg and ImageMagick for encoding, conversion, and manipulation. Use when working with video, audio, or image processing pipelines.

Template for creating new skills. Copy this directory and customize for your specific use case.

Create aesthetically beautiful interfaces following proven design principles. Use when building UI that needs visual polish, micro-interactions, or design system refinement.

Deploy mobile apps to App Store and Google Play. Use when configuring builds, signing, CI/CD pipelines, or preparing store submissions.

Design and implement CI/CD pipeline patterns for reliable, fast, and secure software delivery. Use when building or optimizing build and deployment pipelines.

Secure container images and runtime environments. Use when building Dockerfiles, scanning images, or hardening container deployments.

Design and implement data pipelines, ETL processes, and data infrastructure. Use when building data ingestion, transformation, or storage systems.

Create effective data visualizations with matplotlib, seaborn, and plotly. Use when building charts, dashboards, or communicating data insights visually.

Process and generate Word documents (DOCX) programmatically. Use when creating reports, extracting text from documents, or automating document generation in data pipelines.

Extract and process PDF documents for data pipelines. Use when parsing research papers, extracting tables from reports, or converting PDFs to structured data.

Process and generate PowerPoint presentations programmatically. Use when creating data presentations, extracting content from slides, or automating report generation.

Process and generate Excel spreadsheets programmatically. Use when reading data from Excel files, creating formatted reports, or building data export pipelines.

Track ML experiments systematically with MLflow, W&B, or similar tools. Use when running experiments, comparing model versions, or managing reproducibility.

Design and manage feature stores for ML systems. Use when building reusable feature pipelines, managing feature versioning, or serving features for inference.

Implement state management in Flutter using BLoC, Riverpod, or Provider patterns. Use when designing data flow, managing async state, or implementing reactive architectures.

Create production-grade frontend interfaces when backend services need admin panels, dashboards, or API documentation UIs. Use when building web interfaces for backend services.

Build robust frontend systems with React, Next.js, and TypeScript. Use when implementing components, hooks, data fetching, state management, or optimizing frontend performance.

Build AI agents with Google Agent Development Kit (ADK) for Python. Use when creating multi-agent systems, tool-using agents, or orchestrating LLM workflows with Google Cloud.

Work effectively with Jupyter notebooks for data exploration and analysis. Use when creating notebooks, converting formats, or establishing notebook best practices.

Use when users ask about Kiro IDE features, setup, configuration, troubleshooting, specs, steering files, MCP servers, hooks, skills, commands, or workspace management. Activate for questions like 'How do I use Kiro?', 'What are specs?', 'How to set up MCP?', 'Create a steering file', 'Fix Kiro issues', or 'Configure my workspace'.

Operate and troubleshoot Kubernetes clusters, workloads, and networking. Use when deploying, scaling, or debugging Kubernetes resources.

Process multimedia files with FFmpeg and ImageMagick for encoding, conversion, and manipulation. Use when working with video, audio, or image processing pipelines.

Deploy, monitor, and manage ML models in production. Use when setting up model serving, experiment tracking, or ML infrastructure.

Build modern mobile applications with React Native, Flutter, Swift/SwiftUI, and Kotlin/Jetpack Compose. Covers mobile-first design principles, performance optimization (battery, memory, network), offline-first architecture, platform-specific guidelines (iOS HIG, Material Design), testing strategies, security best practices, accessibility, app store deployment, and mobile development mindset. Use when building mobile apps, implementing mobile UX patterns, optimizing for mobile constraints, or making native vs cross-platform decisions.

Write and run mobile tests including widget tests, integration tests, and golden tests. Use when implementing test strategies for Flutter or React Native apps.

Integrate native platform features via platform channels, native modules, or FFI. Use when accessing device hardware, OS APIs, or third-party native SDKs.

Process and analyze text data with NLP techniques. Use when building text classification, NER, sentiment analysis, or text preprocessing pipelines.

Implement offline-first architecture with local storage, sync strategies, and conflict resolution. Use when building apps that must work without network connectivity.

Data manipulation and analysis with pandas. Use when cleaning data, performing aggregations, merging datasets, or building analysis pipelines.

Train and optimize deep learning models with PyTorch. Use when building neural networks, implementing training loops, or optimizing model performance.

Classical machine learning with scikit-learn. Use when building classification, regression, clustering models, or implementing feature engineering pipelines.

Template for creating new skills. Copy this directory and customize for your specific use case.

Build and train models with TensorFlow and Keras. Use when implementing production ML models, using tf.data pipelines, or deploying with TF Serving.

Design and implement reusable Terraform modules with proper interfaces, testing, and documentation. Use when creating or refactoring infrastructure modules.

Build immersive 3D web experiences with Three.js - WebGL/WebGPU library for scenes, cameras, geometries, materials, lights, animations, loaders, post-processing, shaders (including node-based TSL), compute, physics, VR/XR, and advanced rendering. Use when creating 3D visualizations, games, interactive graphics, data viz, product configurators, architectural walkthroughs, or WebGL/WebGPU applications. Covers OrbitControls, GLTF/FBX loading, PBR materials, shadow mapping, post-processing effects (bloom, SSAO, SSR), custom shaders, instancing, LOD, animation systems, and WebXR.

Create beautiful, accessible user interfaces with shadcn/ui components (built on Radix UI + Tailwind), Tailwind CSS utility-first styling, and canvas-based visual designs. Use when building user interfaces, implementing design systems, creating responsive layouts, adding accessible components (dialogs, dropdowns, forms, tables), customizing themes and colors, implementing dark mode, generating visual designs and posters, or establishing consistent styling patterns across applications.