Search the live skill catalog

Index artifacts when they're created, not at batch boundaries.

Fast, AI-powered codebase search using WarpGrep. 20x faster than traditional grep.

Run comprehensive health checks on all Claude Code components.

Source provenance, compatibility, automated checks, and current evidence depth are available on the full page.

Show a beautiful dashboard with token usage, actual API costs, TLDR savings, and hook activity.

Note: The current year is 2025. When validating tech choices, check against 2024-2025 best practices.

Comprehensive guide for building modern full-stack web applications using Next.js, Turborepo, and RemixIcon.

Build AI agents in Python using the Agentica framework. Agents can implement functions, maintain state, use tools, and coordinate with each other.

Complete reference for running Agentica SDK with a local Claude proxy. This enables Python agents to use Claude CLI as their inference backend.

AWS development with infrastructure automation and cloud architecture patterns

OpenAI's model that understands images from natural language.

Encode and decode Swift types using Codable ( Encodable & Decodable ) with JSONEncoder , JSONDecoder , and related APIs. Targets Swift 6.2 / iOS 26+.

Source provenance, compatibility, automated checks, and current evidence depth are available on the full page.

Comprehensive guide to running ML workloads on Lambda Labs GPU cloud with on-demand instances and 1-Click Clusters.

NeMo Guardrails adds programmable safety rails to LLM applications at runtime.

Run QLTY checks during code writing to catch issues early.

bitsandbytes reduces LLM memory by 50% (8-bit) or 75% (4-bit) with <1% accuracy loss.

When implementing SDK features or debugging provider-specific issues, check reference implementations.

Use the most token-efficient search tool for each query type.

Use the most token-efficient search tool for each query type.

Establish semantic versioning practices to maintain consistent version numbering aligned with release significance, enabling automated version management and release notes generation.

SAELens is the primary library for training and analyzing Sparse Autoencoders (SAEs) - a technique for decomposing polysemantic neural network activations into sparse, interpretable features. Based on Anthropic's groundbreaking research on monosemanticity.