New skills

SolidJS is a declarative JavaScript library for building user interfaces with fine-grained reactivity. Unlike virtual DOM frameworks, Solid compiles templates to real DOM nodes and updates them with fine-grained reactions.

Master Kubernetes deployments for managing containerized applications at scale, including multi-container services, resource allocation, health checks, and rolling deployment strategies.

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

Use automated tools to analyze code without executing it, catching bugs, security issues, and style violations early.

Statsmodels is Python's premier library for statistical modeling, providing tools for estimation, inference, and diagnostics across a wide range of statistical methods. Apply this skill for rigorous statistical analysis, from simple linear regression to complex time series models and econometric analyses.

Fine-tune LLMs by training <1% of parameters using LoRA, QLoRA, and 25+ adapter methods.

The proxy.ts file replaces middleware.ts from Next.js 15. Create it at the root or in /src :

The Hugging Face Transformers library provides access to thousands of pre-trained models for tasks across NLP, computer vision, audio, and multimodal domains. Use this skill to load models, perform inference, and fine-tune on custom data.

Reference: docs.dodopayments.com/developer-resources/integration-guide

Intelligently analyze macOS disk usage and provide actionable cleanup recommendations to reclaim storage space. This skill follows a safety-first philosophy : analyze thoroughly, present clear findings, and require explicit user confirmation before executing any deletions.

Create professional PDF documents from markdown with proper Chinese font support.

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

Protect APIs from abuse and manage traffic using various rate limiting algorithms with per-user, per-IP, and per-endpoint strategies.

Review the requested Cookbook notebook using the guidelines and rubrics in style_guide.md . Provide a score based on scoring guidelines and recommendations on improving the cookbook.

Hypothesis generation is a systematic process for developing testable explanations. Formulate evidence-based hypotheses from observations, design experiments, explore competing explanations, and develop predictions. Apply this skill for scientific inquiry across domains.

Expert guidance for KMP architecture in Amethyst - deciding what to share vs keep platform-specific.

Reference: docs.dodopayments.com/developer-resources/subscription-integration-guide

Megatron-Core trains LLMs from 2B to 462B parameters with up to 47% Model FLOP Utilization on H100 GPUs through advanced parallelism strategies.

Publish mobile applications to official app stores with proper code signing, versioning, testing, and submission procedures.

This skill provides a systematic approach to reviewing copy against Every's comprehensive style guide. It transforms Claude into a meticulous line editor and proofreader specializing in grammar, mechanics, and style guide compliance.

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

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

BigCode Evaluation Harness evaluates code generation models across 15+ benchmarks including HumanEval, MBPP, and MultiPL-E (18 languages).

Mobile app debugging addresses platform-specific issues, device hardware limitations, and mobile-specific network conditions.