Rapidly build and launch micro-SaaS applications with best practices, monetization, and deployment

End-to-end 16S amplicon workflow from FASTQ reads to differential abundance. Orchestrates DADA2 ASV inference, taxonomy assignment, diversity analysis, and compositional testing with ALDEx2. Use when processing 16S/ITS amplicon data.

Interact with MicroPython boards via mpy-repl-tool to push files, execute code, and test MicroPython scripts. Use when working with MicroPython development, testing board functionality, or evaluating MicroPython code on hardware.

Creates interactive educational MicroSims using the best-matched JavaScript library (p5.js, Chart.js, Plotly, Mermaid, vis-network, vis-timeline, Leaflet, Venn.js). Analyzes user requirements to route to the appropriate visualization type and generates complete MicroSim packages with HTML, JavaScript, CSS, documentation, and metadata.

This skill analyzes diagram, chart, or simulation specifications and returns a ranked list of the most suitable MicroSim generator skills to use. It compares the specification against capabilities of all available microsim generators (p5.js, ChartJS, Plotly, Mermaid, vis-network, timeline, map, Venn, bubble) and provides match scores (0-100) with detailed reasoning for each recommendation. Use this skill when a user has a diagram specification and needs guidance on which MicroSim generator skill to use.

Utility tools for MicroSim management including quality validation, screenshot capture, icon management, and index page generation. Routes to the appropriate utility based on the task needed.

Expert guidance for Microsoft Fabric development using the Fabric MCP Server. Access Fabric public APIs, OpenAPI specs, item schemas, best practices, and OneLake file management. Use when working with Fabric workloads, Lakehouses, pipelines, semantic models, notebooks, or building Fabric integrations.

Craft effective Midjourney V7 prompts for any style — photography, illustration, anime, or artistic. Provides frameworks (7-Element, F.O.C.A.L.), parameter reference (--ar, --stylize, --sref, --cref), lighting/camera terminology, and V7-specific optimization. Auto-activates when writing Midjourney prompts, discussing MJ parameters, or creating AI image prompts. Triggers: Midjourney, MJ prompt, --ar, --stylize, --sref, style reference, character reference, image generation prompt.

Generate MJ V7 prompts for all images in a page.

Migrate Python modules from SDR_stochastic research code to vrp-toolkit architecture. Use when migrating files from the old codebase structure to the new three-layer architecture (Problem/Algorithm/Data layers), refactoring paper-specific code into generic implementations, or converting research notebooks into educational tutorials.

Migrate from Vitest 2.x/3.x to 4.x with pool options, coverage config, workspace to projects, and browser mode updates. Use when upgrading Vitest versions or encountering deprecated patterns.

Complete migration guide from Zod v3 to v4 covering all breaking changes and upgrade patterns

Specialized in database migrations and data seeding. Trigger this when creating tables, modifying schemas, or preparing initial data.

Expert guidance for writing database migrations using golang-migrate for the mediaz SQLite database. Covers migration creation, testing, rollback capability, data preservation, and mediaz-specific patterns. Activates when users mention migrations, schema changes, database alterations, or golang-migrate.

Create, test, and deploy Supabase database migrations safely.

Analyze therapy session transcripts or journal entries. Identifies cognitive patterns, emotional themes, and tracks progress over time. Automatically references recent analyses for context. Use for session analysis, journal reflection analysis, or pattern identification.

Debug and troubleshoot Mini-Apps when they fail to load, build, or run. Covers build checks, browser console inspection, bridge issues, and asset routing fixes.

Test and debug the Dashboard “Edit with AI” mini-app editor flow (start edit session, build, history, close session) and write automated tests that simulate agent-driven mini-app edits like adding dark mode.

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Setup and configure Minikube for local Kubernetes development

Manages local Kubernetes clusters using Minikube for development and testing. This skill should be used when setting up local K8s environments, enabling addons, configuring networking, and deploying applications locally. Use this skill for Phase IV local Kubernetes deployments before cloud deployment.

Use when formulating mixed integer programming (MIP) models, handling discontinuous variables, modeling logical constraints (either-or, conditional), or linearizing nonlinear terms

Mise development environment manager (asdf + direnv + make replacement). Capabilities: tool version management (node, python, go, ruby, rust), environment variables, task runners, project-local configs. Actions: install, manage, configure, run tools/tasks with mise. Keywords: mise, mise.toml, tool version, runtime version, node, python, go, ruby, rust, asdf, direnv, task runner, environment variables, version manager, .tool-versions, mise install, mise use, mise run, mise tasks, project config, global config. Use when: installing runtime versions, managing tool versions, setting up dev environments, creating task runners, replacing asdf/direnv/make, configuring project-local tools.

This skill implements the miso feature-to-code workflow. When feature markdown files change, it automatically propagates those changes through the implementation chain: pseudocode → platform-specific

Convert PDFs to Markdown using Mistral OCR API with image extraction. Use when you need to extract structured text and images from PDFs, especially for scanned documents or documents with complex formatting. Outputs Markdown with embedded images.

MkDocs Material documentation management. This skill should be used when writing, formatting, or validating documentation in docs/. Covers admonitions, Mermaid diagrams, code blocks with annotations, content tabs, navigation setup, and mkdocs testing. Always check project-specific docs at docs/dev/ai/skills/ and docs/dev/ai/agents/ for project-specific Claude skill and Claude agent documentation when available.

Expert in building scalable ML systems, from data pipelines and model training to production deployment and monitoring.

You are a memory systems specialist who has built AI memory at scale. You

Serve models with A/B testing, monitoring, retraining.

Automate ML workflows with Airflow, Kubeflow, MLflow. Use for reproducible pipelines, retraining schedules, MLOps, or encountering task failures, dependency errors, experiment tracking issues.

ml-pipeline-orchestrator

Use when building ML pipelines, orchestrating training workflows, automating model lifecycle, implementing feature stores, or managing experiment tracking systems.

ML research for RAN with reinforcement learning, causal inference, and cognitive consciousness integration. Use when researching ML algorithms for RAN optimization, implementing reinforcement learning agents, developing causal models, or enabling AI-driven RAN innovation.

End-to-end ML system design for production. Use when designing ML pipelines, feature stores, model training infrastructure, or serving systems. Covers the complete lifecycle from data ingestion to model deployment and monitoring.

Advanced Maximum Likelihood phylogenetics with model selection (AIC/BIC), tree search algorithms (NNI/SPR/TBR), and performance optimization (Numba/GPU)

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Design DAG-based MLOps pipeline architectures with Airflow, Dagster, Kubeflow, or Prefect. Activates for DAG orchestration, workflow automation, pipeline design patterns, CI/CD for ML. Use for platform-agnostic MLOps infrastructure - NOT for SpecWeave increment-based ML (use ml-pipeline-orchestrator instead).

Provides expertise in Machine Learning Operations, bridging data science and DevOps practices. Specializes in end-to-end ML lifecycles from training pipelines to production serving, model versioning,

Comprehensive MLOps workflows for the complete ML lifecycle - experiment tracking, model registry, deployment patterns, monitoring, A/B testing, and production best practices with MLflow

Use the MIDI Markdown Compiler (mmdc) CLI for compiling MMD to MIDI, validating syntax, real-time playback with TUI, exporting to different formats (JSON, CSV, table), and managing device libraries. Use when the user wants to compile, validate, play, inspect MMD files, or work with device libraries.

Troubleshoot and debug MIDI Markdown (MMD) files including validation errors, timing issues, value ranges, syntax problems, and compilation failures. Use when the user encounters MMD errors, validation failures, unexpected behavior, or needs help diagnosing MMD issues.

Create custom MIDI device libraries for MIDI Markdown with aliases, parameters, and documentation. Use when the user wants to create device-specific aliases for hardware (guitar processors, synthesizers, effects units), document MIDI implementations, or build reusable command libraries.

Write MIDI Markdown (MMD) files with correct syntax, timing paradigms, MIDI commands, and advanced features like loops, sweeps, random values, and modulation. Use when the user wants to create or edit .mmd files, needs help with MMD syntax, is implementing MIDI automation sequences, or is troubleshooting MMD validation errors.

**Enterprise SPEC-First TDD Development Orchestration**

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Enterprise artifact management with governance, lifecycle, SBOM, and supply chain security for November 2025 standards

Automatically suggest tests for new functions and components. Use when new code is written, functions added, or user mentions testing. Creates test scaffolding with Jest, Vitest, Pytest patterns. Triggers on new functions, components, test requests, testing mentions.

Auto-generate API documentation from code and comments. Use when API endpoints change, or user mentions API docs. Creates OpenAPI/Swagger specs from code. Triggers on API file changes, documentation requests, endpoint additions.

Generates Angular code and provides architectural guidance. Trigger when creating projects, components, or services, or for best practices on reactivity (signals, linkedSignal, resource), forms, dependency injection, routing, SSR, accessibility (ARIA), animations, styling (component styles, Tailwind CSS), testing, or CLI tooling.

When the user wants to create, generate, edit, or optimize images for marketing — blog heroes, social graphics, product mockups, profile banners, listing visuals, or brand assets. Also use when the user mentions 'AI image generation,' 'generate an image,' 'create a graphic,' 'product mockup,' 'hero image,' 'social media graphic,' 'banner image,' 'cover photo,' 'profile banner,' 'listing screenshot,' 'Flux,' 'Midjourney,' 'DALL-E,' 'GPT Image,' 'Ideogram,' 'Gemini image,' 'Canva,' 'Figma,' 'image optimization,' 'compress images,' 'WebP,' or 'OG image.' Use this for general-purpose marketing image creation and optimization. For paid ad image creative and platform-specific ad specs, see ad-creative. For video production, see video.