content-trend-researcher
An advanced research intelligence skill for content creators and marketers that analyzes trends across 10+ platforms to generate data-driven content outlines based on user intent.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
410 skills found
An advanced research intelligence skill for content creators and marketers that analyzes trends across 10+ platforms to generate data-driven content outlines based on user intent.
Comprehensive UI testing, visual fidelity analysis, and browser debugging using Chrome DevTools MCP and AI-driven vision models.
Generate professional, cohesive, project-specific SVG icon sets with consistent style, stroke weight, and visual density. Ideal for unique web and app UI branding.
A framework for an LLM-based NetHack agent that dynamically synthesizes Python code in a secure sandbox to perform complex dungeon exploration and gameplay actions via a high-level API.
A structured prompting framework to transform casual inputs into professional, modular LLM prompts with persona, context, task, format, and guardrails.
Unified content extraction and action planning engine. Automatically processes URLs (YouTube, articles, PDFs) into actionable plans.
Unified AI gateway for 100+ LLMs with OpenAI-compatible API, model fallbacks, load balancing, and enterprise-grade tools.
AI-powered browser automation server for web interaction, data extraction, and research using the Model Context Protocol.
Generates comprehensive API references, user manuals, and architectural system documentation directly from your codebase and technical specifications.
Generate, validate, and refine Mermaid diagrams including flowcharts, sequence diagrams, ERDs, and architecture maps to visualize complex software systems and workflows.
Create robust, scalable, and maintainable technical implementation plans for complex software projects.
Handles large-scale tasks by automatically breaking them down into manageable, recursive sub-tasks to overcome context window limits and improve reasoning accuracy on large codebases and document sets.