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Skills
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Applies behavioral science principles to marketing decisions by systematically evaluating psychological models for maximum ethical impact and feasibility.
A Membrane integration skill that teaches AI agents to work with Microsoft Outlook, including sending emails, managing calendars, and handling contacts through the Membrane CLI with automatic OAuth handling.
Skill for `@shipany/open-agent-sdk` — an open-source, in-process TypeScript/Node.js AI-agent framework that runs the full Claude Code engine without the CLI subprocess, API-compatible with `@anthropic-ai/claude-agent-sdk`. Covers `query()` streaming, `createAgent()` sessions, allowed tools, permission modes, MCP servers, subagents, custom tools, and `canUseTool` permission callbacks.
from neolabhq/context-engineering-kit
Develops high-performance Python 3.12+ applications using modern async patterns, cutting-edge tools like uv and ruff, and production-ready best practices.
Module covering Rust web routing patterns within an AI-powered development assistant featuring a meta-cognition framework.
A graph machine learning skill using PyTorch Geometric (PyG) for scientific workflows like gene regulatory network analysis and topology modeling, part of K-Dense's collection of 133 scientific and research agent skills.
from neolabhq/context-engineering-kit
A Context Engineering Kit skill for managing git worktrees, enabling parallel development on multiple branches simultaneously.
A collection of Claude Code skills for tasks like code review, security analysis, and development best practices, each providing structured expert guidance.
Migration pattern for React legacy context (contextTypes / childContextTypes / getChildContext) to the modern createContext API — a cross-file migration where provider and all consumers must be updated together.
Analyzes market scenarios for investment decision-making, part of a curated trading skills collection for systematic backtesting and market analysis.
Official Microsoft .NET skill for **pragmatic test anti-pattern review** of MSTest/xUnit/NUnit/TUnit code — flags no-assertions/swallowed exceptions/always-true asserts (Critical), `Thread.Sleep`/`DateTime.Now`/over-mocking/implementation coupling (High), poor naming/magic values/duplicate tests (Medium), and basic hygiene (Low) with actionable fixes; defers to `exp-test-smell-detection` for deep academic audits.
A UMAP (Uniform Manifold Approximation and Projection) skill from Scientific Agent Skills for dimensionality reduction and high-dimensional data visualization in scientific research workflows.
A Claude Code skill from the engineering core domain that provides structured workflows and decision frameworks for conducting accessibility audits in web applications.
Provides comprehensive React hooks and components for advanced state management, async handling, and conditional rendering in React applications.
Before/after migration patterns for the three unsafe class-component lifecycles (componentWillMount, componentWillReceiveProps, componentWillUpdate) targeting React 18.3.1.
from neolabhq/context-engineering-kit
Google Stitch UI design prompting skill for crafting effective prompts in Google's AI-powered UI design tool, covering prompt structure, specificity techniques, iteration strategies, and design-to-code workflows for web and mobile applications
Part of a Chinese localization of Matt Pocock's agent skills, providing engineering and productivity skills designed for real-world development with composable, hackable workflows covering problem alignment, domain language, documentation, and task management for AI coding agents.
Creates AI avatar and talking head videos using OmniHuman, Fabric, and PixVerse models via inference.sh CLI, supporting audio-driven avatar animation, lipsync video generation, and multi-character talking head creation for presenters and virtual influencers.
Migration patterns for React string refs (ref="name" + this.refs.name) to React.createRef() in class components — covers single refs, multiple refs, refs in lists, and callback refs.
A scientific agent skill for scikit-bio, part of the 133-skill Scientific Agent Skills collection that provides curated documentation and examples for bioinformatics sequence analysis and biological data processing.
Official Uniswap AI tools for developers and agents integrating the Uniswap ecosystem, with plugins for v4 hook development, swap integration, CCA auctions, and EVM interaction via viem/wagmi.