By tonone-ai
Design and audit feature engineering pipelines, including transformations, encodings, and feature stores, to prepare raw data for machine learning models. Audits for data leakage, encoding issues, and missing values. Accessible via @feat for encoding, imputation, and reproducible transformations.
Design and implement a feature engineering pipeline for a ML problem.
Audit feature engineering code for leakage, quality issues, and pipeline correctness.
Design or audit a feature store — serving, freshness, and sharing across models.
Uses power tools
Uses Bash, Write, or Edit tools
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
npx claudepluginhub tonone-ai/tonone --plugin featComprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Consult multiple AI coding agents (Gemini, OpenAI, Grok, Perplexity, plus codex, antigravity, and grok CLIs when installed) to get diverse perspectives on coding problems
Develop, test, build, and deploy Godot 4.x games with Claude Code. Includes GdUnit4 testing, web/desktop exports, CI/CD pipelines, and deployment to Vercel/GitHub Pages/itch.io.
A growing collection of Claude-compatible academic workflow bundles. Covers scientific figures, manuscript writing and polishing, reviewer assessment, citation retrieval, data availability, paper reading, literature search, response letters, paper-to-PPTX conversion, and evidence-grounded Chinese invention patent drafting. Rules are organized as reusable skill folders with explicit workflows and quality checks.
Design Team — Copy: UX writing and content design — microcopy, error messages, onboarding flows, UI content strategy
Design or audit a feature store
AI Operations Team — Trace: LLM tracing, span capture, prompt/completion logging, cost attribution, and AI system debugging.
Design an API versioning and deprecation policy
Design Team — Wire: Prototyping and handoff — interactive flow docs, component specs, developer handoff
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review
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