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Skills
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Agent evaluation skill using MLflow for systematically evaluating and improving LLM agent output quality. Covers tool selection accuracy, answer quality, cost reduction, and end-to-end evaluation with datasets, scorers, and tracing.
Refactors and improves Markdown files by analyzing their structure, identifying potential improvements, and suggesting or automatically implementing optimizations for better readability and organization.
A PostPlus marketing workflow skill that transforms content benchmark data into actionable creative briefs, converting research findings and competitive analysis into structured production directives.
Capacitor agent skills for mobile app development, providing tools and workflows for building reactive mobile backends with live updates via Capgo.
A collection of 255+ universal agentic skills for AI coding assistants including Claude Code, Gemini CLI, Codex CLI, Antigravity IDE, GitHub Copilot, and Cursor.
Triages Python environment issues within Continuous Claude by verifying which interpreter uv/venv actually uses versus system Python, resolving unexpected pip/uv sync behavior.
Generates and designs SVG icons, app icons, logos, and graphic elements with AI-assisted design workflows
A PostPlus marketing workflow skill that analyzes Instagram audience language and sentiment, mining comments and engagement patterns to understand how audiences talk about products and topics.
A PostPlus marketing workflow skill that scouts Instagram for campaign opportunities, identifying trending content patterns, partnership-ready creators, and competitive positioning gaps.
Provides guidelines and best practices for designing microservices architectures including service separation, API design, and communication patterns, from the Useful AI Prompts library of 488+ prompts.
A collection of Claude Code skills covering framework-specific development expertise including FastAPI, Python, and other technologies with best practices.
Part of the Nutrient skills collection, this skill enables AI agents to extract text from PDFs as structured, semantic Markdown using Nutrient's document processing APIs, working with Claude Code, Codex, Cursor, and other agents.
Creates visual representations of workflows through process mapping techniques including current state (AS-IS), future state (TO-BE), value stream mapping, and swimlane diagrams.
Helps developers choose and implement the right state management solution for React applications, covering global, local, and server state strategies.
patterns.dev skill teaching the **singleton pattern** — guard a single instance in the constructor and `Object.freeze` the export so state is shared across modules, while warning that hidden global coupling hurts testability and that in React you should prefer Context/Redux/module-scoped variables over class singletons.
A collection of Claude Code skills for searching GitHub, managing repositories, and automating development workflows with continuous integration support.
Perform finance web searches and local context searches. Use when the user needs general finance info from the web (Jina/DDG/Baidu) or needs to retrieve finance information from a local document store (RAG).
Selects the most relevant Cloudinary documentation pages using the latest llms.txt, enabling AI agents to answer Cloudinary questions and integrate Cloudinary into code accurately.
Master context engineering for AI agent systems including architecture design, token optimization, memory systems, multi-agent coordination, and context degradation debugging.
Guides Firebase Firestore database operations and best practices, from a collection of 87 production-ready skills for Cloudflare, React, and AI integrations.
A skills marketplace for Claude Code featuring 52 production-ready skills including a meta skill-creator, document conversion, diagram generation, GitHub operations, UI design extraction, and many more development workflow tools.
Executes a single implementation task as a spawned agent within Continuous Claude, working with fresh context and creating handoff documents on completion.
Provides evidence-based LLM parameter configurations for theorem proving, formal reasoning, and other tasks, based on APOLLO and Godel-Prover research within Continuous Claude.