Aider Skills

Explains how to use Next.js 16+ with Turbopack for faster development and optimized production builds.

Enables discovery, installation, and management of AI agent skills from agentskill.sh, enhancing agent capabilities dynamically.

Squirrel automates the full-cycle software development process, adapting to project states for efficient planning, building, testing, and documentation.

This skill provides expertise in TanStack Query for efficient asynchronous state management in React and Next.js applications.

Validates and enforces design consistency in Tailwind CSS projects, ensuring accessibility and preventing layout issues.

Helps systematically identify and fix bugs using proven debugging techniques, ensuring robust software performance.

Guides users in selecting the right skill by asking targeted questions and recommending the best options from the skill library.

Crafts effective B2B cold emails and follow-up sequences to enhance outreach and engagement in sales prospecting.

Generates high-converting Next.js/React landing pages with optimized copy and SEO, focusing on performance and user engagement.

Helps clarify requirements before implementation by asking targeted questions to avoid misunderstandings and ensure project success.

Helps plan and restructure website hierarchy, navigation, and internal linking for improved user experience and SEO optimization.

Statsmodels provides powerful tools for statistical modeling and analysis, enabling users to perform regression, time series, and diagnostics.

Audits and rewrites content to eliminate AI writing patterns, enhancing clarity and readability for human audiences.

Helps plan a content strategy, including topic clusters and editorial roadmaps, to drive traffic and generate leads.

Facilitates efficient file-based context management for AI agents, optimizing dynamic context discovery and reducing token usage.

Creates interactive visualizations for dashboards and presentations, enhancing data exploration with rich interactivity.

Polars is a high-performance DataFrame library for efficient data processing and ETL pipelines, optimized for datasets fitting in RAM.

Covers principles for identifying LLM-suited tasks and designing effective project architectures for agent-assisted development.

Audits and fixes animation performance issues to enhance UI interactions and transitions, ensuring smooth and efficient animations.

Extracts up to 50 relevant SEO keywords from text, optimizing content for search engines and enhancing metadata generation.