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An autonomous UI implementation agent that converts Figma designs into pixel-perfect code using Figma MCP and browser-based refinement.
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486 skills found
An autonomous UI implementation agent that converts Figma designs into pixel-perfect code using Figma MCP and browser-based refinement.
Optimize Node.js performance via Redis caching, clustering, profiling, and monitoring to build fast, scalable, and efficient backend services.
Evaluate Deca agent prompts and behavioral consistency through automated test runners, manual LLM judgment, and structured reporting.
Generate diverse landing page narrative angles, define target audiences, and specify required evidence for conversion-focused marketing workflows.
Framework for orchestrating long-running agentic tasks, evidence-based delivery, and automated QA gates following Simon Willison's iterative loop.
Retrieve current, source-backed technical information using MCP tools to resolve queries about libraries, APIs, SDKs, and evolving tech ecosystems.
Autonomous multi-agent LinkedIn system using LangGraph and Claude Opus 4.5 for trend research, content creation, voice profiling, and analytics-driven optimization.
Scaffold and build interactive MCP Apps with custom UIs for hosts like Claude Desktop. Supports React, Vanilla JS, and various framework templates for tool-resource integration.
Analyze markdown documentation files to ensure compliance with predefined AI token budgets and optimize content for efficient AI ingestion.
Create and test AI-ready MCP tools for any web application. Inject code, automate browser interactions, and turn websites into intelligent agents.
Unified CLI tool to read, query, discover, and write AI agent conversations using the agents:// URI scheme across multiple coding agents and providers.
Conduct automated code reviews for local changes or remote GitHub Pull Requests. It analyzes code for correctness, maintainability, and standards using git and gh CLI integration.