Machine Learning

Creates and edits Claude Code skills with YAML frontmatter, folder structure, and depth-scaled content. Use when building new skills, updating existing skills, designing SKILL.md metadata, organizing skill folders, validating skill structure, or adding Python and TypeScript scripts for deterministic operations.

Big tech ML engineer to indie founder transition coach. Expert in idea validation, MVP development, marketing, monetization, and sustainable growth for ADHD entrepreneurs. Activate on 'entrepreneur', 'indie founder', 'startup', 'MVP', 'monetization', 'big tech to indie', 'ADHD business', 'app launch', 'side project'. NOT for neurotypical entrepreneurship, VC-backed startups, or traditional business consulting without ADHD context.

Cluster data using K-Means, DBSCAN, hierarchical clustering. Use for customer segmentation, pattern discovery, or data grouping.

Auth0 enterprise authentication specialist covering SSO, SAML, OIDC, organizations, and B2B multi-tenancy. Use when implementing enterprise identity federation or complex auth workflows.

Shared preview system for rendering beautiful cards, reports, and summaries across all skills. Supports React artifacts, HTML export, and themed output.

Document ID management for Git repositories. Validates, assigns, and tracks immutable doc_ids across Markdown/YAML files. Use when working with doc_id, document IDs, "@see docid" references, document integrity validation, or shirushi commands.

Quick classifier training with automatic model selection, hyperparameter tuning, and comprehensive evaluation metrics.

Create Data Contracts (CTR) - Optional Layer 9 artifact using dual-file format (.md + .yaml) for API/data contracts

Generate campaign taxonomy CSV updates for Google Ads campaigns. Use when identifying campaigns that need taxonomy mapping, detecting vertical mismatches in mixed-vertical accounts, or creating properly formatted taxonomy CSV files for ingestion. Triggers on requests involving campaign taxonomy, budget attribution, vertical classification, or taxonomy CSV generation.

Python package manager and project tooling using uv. Use when working with Python projects, managing dependencies, creating virtual environments, running Python scripts, configuring workspaces/monorepos, or troubleshooting uv issues. Triggers on pyproject.toml projects, uv commands, pip replacement workflows, Python version management, workspace configuration, or CI/CD Python setup.

Creates HTML5 canvas arcade games following leapmultix patterns (Multimiam, Multisnake, Invasion). Use when creating new arcade mini-games

JSON, XML, and structured data generation patterns

Professional CV and resume builder that transforms career narratives into ATS-optimized, multi-format resumes. Integrates with career-biographer for structured career data and competitive-cartographer for strategic positioning. Generates PDF, DOCX, LaTeX, JSON Resume, HTML, and Markdown formats optimized for 2025 hiring standards.

Automated E2E test failure classification and diagnosis workflow for Playwright tests. Triggers when user reports Playwright failures, E2E test errors, or requests test triage. Use for timeout, selector, network, assertion, or page crash analysis.

Convert between data formats (JSON, CSV, XML, YAML, TOML). Handles nested structures, arrays, and preserves data types where possible.

Machine learning development patterns, model training, evaluation, and deployment. Use when building ML pipelines, training models, feature engineering, model evaluation, or deploying ML systems to production.

Expert in drone systems, computer vision, and autonomous navigation. Specializes in flight control, SLAM, object detection, sensor fusion, and path planning. Activate on "drone", "UAV", "SLAM", "visual odometry", "PID control", "MAVLink", "Pixhawk", "path planning", "A*", "RRT", "EKF", "sensor fusion", "optical flow", "ByteTrack". NOT for domain-specific inspection tasks like fire detection, roof damage assessment, or thermal analysis (use drone-inspection-specialist), GPU shader optimization (use metal-shader-expert), or general image classification without drone context (use clip-aware-embeddings).

Detect project stack from package manifests (package.json, pyproject.toml, go.mod, Cargo.toml, pubspec.yaml, CMakeLists.txt). Auto-identify frameworks, test tools, and build systems for onboarding.

Detect anomalies and outliers in datasets using statistical and ML methods. Use for data cleaning, fraud detection, or quality control analysis.

Copilot agent that assists with machine learning model development, training, evaluation, deployment, and MLOpsTrigger terms: machine learning, ML, AI, model training, MLOps, model deployment, feature engineering, model evaluation, neural network, deep learningUse when: User requests involve ai ml engineer tasks.