Explore our collection of Agent Skills to enhance your AI workflow.
Automates the scaffolding, auditing, and packaging of production-grade AI skills across multiple archetypes and LLM formats.
Provides optimized ClickHouse database schemas, high-performance query patterns, and data engineering best practices for OLAP workloads.
Optimizes AI agent performance by progressively refining codebase context through a multi-stage evaluation and search loop.
Deploys dual AI reviewers in a competitive framework to identify architectural flaws and implementation bugs before finalizing technical decisions.
Analyzes user intent and project context to suggest the most appropriate documentation skills from the AI Dev Flow framework catalog.
Conducts systematic, multi-database academic literature reviews with automated citation verification and professional formatting.
Generates professional McKinsey-style HTML presentations by converting slide content into structured JSON and rendering it with high-end CSS and JavaScript.
Extracts content from websites using the Scrape.do API to bypass anti-bot protections and render dynamic JavaScript.
Streamlines the development, management, and deployment of Claude Code plugins and marketplace manifests.
Streamlines DeFi data integration by providing standardized access to multi-chain liquidity pools, position tracking, and wallet balances via the Krystal Cloud API.
Simulates a skeptical academic reviewer to identify weaknesses and overclaims in research papers before submission.
Streamlines the creation of distributable Python packages using modern standards like pyproject.toml and source layouts.
Streamlines the creation of custom slash commands and TOML-based configurations for the Gemini CLI ecosystem.
Generates semantic, conventional commit messages by analyzing staged changes to improve repository history and team collaboration.
Streamlines iterative development by capturing and documenting new project deltas on-the-go with automated research and validation.
Master smart contract security and vulnerability prevention for secure Solidity development.
Optimizes database performance through advanced indexing strategies, EXPLAIN plan analysis, and efficient query pattern implementation.
Develops acute intuition for identifying and creating high-impact research by analyzing patterns in landmark papers and avoiding incremental pitfalls.
Extracts actionable work items and dependency maps from high-level project vision documents.
Manages Project Enhancement Proposals to track technical decisions, implementation waves, and verification gates.
Retrieves and synthesizes organizational context, calendar schedules, and task data through a high-performance, index-first search protocol.
Executes and manages 26 specialized Genkit AI flows for career-related tasks while reducing token usage by up to 90% through intelligent caching.
Generates engaging, structured technical blog posts from code implementations using a What-Why-How narrative framework.
Implements robust testing strategies using Jest and Vitest to ensure code quality in JavaScript and TypeScript applications.
Builds, evaluates, and deploys code-first AI agents and multi-agent systems using Google's Agent Development Kit.
Translates complex academic papers into multi-level explanations and interactive visual diagrams to build deep technical intuition.
Monitors and optimizes system resource usage across the application stack to identify performance bottlenecks and reduce infrastructure costs.
Implements sophisticated type-safe architectures using advanced TypeScript features like generics, conditional types, and mapped types.
Implements robust end-to-end testing suites using Playwright and Cypress to ensure application reliability and prevent regressions.
Provides instant access to Material UI component documentation, implementation guides, and customization patterns.
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