Browse skills

This skill generates dense vector embeddings from text modules for semantic similarity searches and enhanced retrieval within RAG systems.

Generates clean, responsive HTML/CSS code snippets from textual descriptions, optimized for modern web frontends.

Formats legal documents into standardized formats like pleadings, contracts, or briefs based on provided instructions.

Formats complex mathematical equations and documents into clean, professional LaTeX code from text descriptions.

This "Checkpointing" skill saves and restores AI states, preventing lost context & ensuring consistent, reliable responses across sessions.

This tool analyzes text to identify unstated assumptions, improving clarity and reducing misunderstandings in communication.

The Drama Analyzer dissects text to identify emotional intensity and key dramatic elements, offering insights into narrative focus & impact.

Crafts concise, descriptive Git commit messages based on code changes and provided context.

Automatically generates detailed issue reports in your project management system based on provided context and data.

Provides JavaScript guidance and assistance for software development workflows.

Provides search guidance and assistance for software development workflows.

Provides Angular guidance and assistance for software development workflows.

Identifies and extracts Python commands from text to enable automated execution and analysis within backend systems.

This skill analyzes text to assess its scholarly quality – useful for verifying research and identifying credible sources.

Generates clean, responsive Astro components from text descriptions, streamlining frontend development workflows.

This skill analyzes generated text to ensure consistent stylistic alignment, preventing unwanted variations and maintaining a unified brand voice.

This skill conducts in-depth research for Stage 2 conversations, providing valuable context and supporting more informed dialogue.

Analyzes text to estimate audience engagement potential based on readability, sentiment, and predicted shareability.

Context Engineering refines AI prompts by strategically adding relevant background info, boosting response accuracy and coherence for complex tasks.

Generates diverse text content using LLMs – ideal for creative writing, brainstorming, and rapid content creation needs.

Automates Git commit creation with pre-defined templates and descriptions based on task context for streamlined backend workflows.

Formats text into clean, readable Markdown using a consistent style defined by beshkenadze's specifications.

Analyzes text for clarity, tone, grammar, and brand consistency to ensure high-quality written content.

Analyzes text content against WCAG perceivability guidelines to identify accessibility issues like insufficient contrast or missing alt text.