Explore our collection of Agent Skills to enhance your AI workflow.
Drafts professional internal reports, newsletters, and team updates using standardized organizational formats.
Systematically verifies AI-generated work to ensure code quality, requirement alignment, and bug-free implementation.
Systematically identifies and removes customer obstacles to maximize product success and conversion rates using Hormozi-inspired frameworks.
Masters the mechanics of LLM context to design efficient, high-performance agent architectures and debugging strategies.
Streamlines the process of addressing GitHub Pull Request reviews and issue comments using the GitHub CLI.
Generates optimized filtering user interfaces for data tables by analyzing column patterns and implementing modern UX standards.
Scaffolds a comprehensive .agents/ directory structure to streamline AI-first development workflows and session tracking.
Optimizes full-stack application performance across React, Next.js, NestJS, and AWS infrastructure to achieve elite response times and Core Web Vitals.
Researches company profiles, discovers decision-maker contacts, and identifies buyer intent signals to accelerate lead generation.
Implements robust error handling patterns, exception filters, and recovery strategies for React, Next.js, and NestJS applications.
Diagnoses and mitigates performance loss in AI agents by identifying patterns like lost-in-middle, context poisoning, and distraction.
Generates authentic, voice-matched newsletters and social media content to boost audience engagement and personal branding.
Automates the setup of Vitest testing infrastructure and GitHub Actions CI/CD pipelines for TypeScript projects.
Design and implement advanced memory architectures to help AI agents persist state, maintain entity consistency, and reason over structured knowledge.
Deconstructs YouTube videos into viral frameworks, retention mechanics, and reusable content templates through forensic transcript analysis.
Designs and implements robust multi-agent systems to overcome context limits and handle complex, parallelizable tasks.
Configures Biome, Vitest, and pre-commit hooks to automate code quality and testing in JavaScript and TypeScript projects.
Generates standardized, professional commit messages by automatically analyzing staged code changes and git diffs.
Architects resilient background job processing systems for NestJS applications using BullMQ and Redis.
Builds high-quality Model Context Protocol (MCP) servers to bridge LLMs with external APIs and services through optimized tools.
Automates code quality checks, formatting, and commit message processing using Git hooks and the pre-commit framework.
Architects production-grade Chrome extensions using the Plasmo framework and Manifest V3 standards.
Analyzes content performance data to generate reports, calculate ROI, and provide data-driven optimization recommendations.
Validates Tailwind CSS v4 configurations and prevents outdated version 3 patterns in modern frontend projects.
Simplifies LLM interactions by providing a unified Python interface for 100+ AI providers with consistent OpenAI-format syntax.
Designs and implements scalable multi-agent systems to overcome context limitations and manage complex task decomposition.
Optimizes AI prompts for high-performance content generation, social media virality, and cross-platform SEO.
Validates and optimizes marketing channel strategies using the One Channel Rule to ensure focus and maximum lead generation ROI.
Configures and manages local LLM inference using Mozilla Llamafile to provide offline, OpenAI-compatible AI capabilities.
Automates the installation and configuration of shadcn/ui components using modern Tailwind CSS v4 standards.
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