5 results for “feature-engineering”
A full end-to-end Kaggle competition skill. Use this skill whenever a user mentions a Kaggle competition, ML contest, data science challenge, or competitive modeling event — even casually (e.g., "I joined a Kaggle competition", "help me with this ML challenge", "I want to climb the leaderboard"). This skill guides a solo competitor or team through every phase: competition intake, dataset access, exploratory data analysis, feature engineering, model development, ensembling, and final submission. Adapts to the user's proficiency level. Works in Claude Code, Claude.ai, and any coding agent that supports skills. Trigger this skill even when the user only mentions one phase (e.g., "help me with EDA for my Kaggle comp") — always load the full skill to understand context and jump in at the right phase.
Find and remove stale feature flags that are permanently enabled, permanently disabled, or abandoned. Use when the user says "clean up feature flags", "remove the old flags", or after a feature has been fully rolled out for more than a sprint.
Scaffold a complete full-stack feature — API route, DB query, TypeScript types, and frontend component — in one shot. Use when the user says "add a [feature]", "I need a [thing] page", or "scaffold [X]" and wants everything wired up fast.
Generate a structured implementation plan before writing any code. Produces a spec with requirements, data model, API surface, edge cases, and open questions. Use when starting a non-trivial feature, when the user says "plan this out", or before any implementation that touches more than 2 files.
Add voice AI to an app — inbound/outbound phone calls, voice agents, or speech-to-text/text-to-speech pipelines. Supports Bland AI, ElevenLabs, Deepgram, and Web Speech API. Use when the user says "add voice", "make it speak", "phone call feature", or "voice agent".