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Meta-skill enforcing skill discovery and invocation discipline through mandatory workflows. Use when starting any conversation to check for relevant skills before any response, ensuring skill-first workflow before proceeding.

Optimize vector index performance for latency, recall, and memory. Use when tuning HNSW parameters, selecting quantization strategies, or scaling vector search infrastructure.

Deploy and manage Vercel projects, domains, environment variables, and serverless functions using the `vercel` CLI.

Building and deploying React web applications. Use when configuring builds, deploying to Vercel/Netlify, setting up CI/CD, Docker, or managing environments.

Use when building a production-ready REST API from requirements through deployment. Orchestrates 8-12 specialist agents across 5 phases using Test-Driven Development methodology. Covers planning, architecture, TDD implementation, comprehensive testing, documentation, and blue-green deployment over a 2-week timeline with emphasis on quality and reliability.

Detects non-functional "theater" code that appears complete but doesn't actually work. Use this skill to identify code that looks correct in static analysis but fails during execution, preventing fake implementations from reaching production. Scans for suspicious patterns, validates actual functionality, and reports findings with recommendations.

Specialized ML model development, training, and deployment workflow

Configure Claude Code sandbox network isolation with trusted domains, custom access policies, and environment variables for secure network communication.

This SOP provides a systematic workflow for training and deploying neural networks using Flow Nexus platform with distributed E2B sandboxes. It covers architecture selection, distributed training, ...

Deploy and manage Cloudflare Workers, Pages, KV, R2, D1, and other Cloudflare services using the `wrangler` CLI.

Chunked N-D arrays for cloud storage. Compressed arrays, parallel I/O, S3/GCS integration, NumPy/Dask/Xarray compatible, for large-scale scientific computing pipelines.

Creates devcontainers with Claude Code, language-specific tooling (Python/Node/Rust/Go), and persistent volumes. Use when adding devcontainer support to a project, setting up isolated development environments, or configuring sandboxed Claude Code workspaces.