analyzing-research-documents
Systematically extract insights, decisions, and constraints from research documents, technical papers, and architectural design files.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
541 skills found
Systematically extract insights, decisions, and constraints from research documents, technical papers, and architectural design files.
Systematic Kubernetes troubleshooting, pod diagnostics, cluster health monitoring, and incident response playbooks.
Get deep, critical, NeurIPS/ICML-style peer reviews of your research, paper drafts, and experimental setups using external LLMs via Codex MCP.
Automatically keeps README files synced with codebase changes including dependencies, new features, and configuration updates.
A unified interface for integrating and managing LLM chat providers like OpenAI, Anthropic, Google, Azure, and Bedrock within LangChain applications.
Streamline continuous fuzzing for open-source projects using the OSS-Fuzz CLI framework to build harnesses, manage configurations, and generate coverage reports.
AI-powered browser automation server for web interaction, data extraction, and research using the Model Context Protocol.
Generate professional PowerPoint presentations using AI. Create full-bleed, high-resolution slide decks from topic prompts with Gemini-powered narrative planning and image generation.
Orchestrate cross-browser, cross-device, and responsive design testing using cloud providers like BrowserStack and Playwright to ensure consistent user experiences.
Framework for building, registering, and orchestrating Model Context Protocol (MCP) tools and AI agent workflows within the Hive native Rust architecture.
Interactive development workflow manager. Coordinates discovery, planning, review, and build phases using a specialized team of AI agents (Scout, Bob, Garry, Arlo) for consistent project delivery.
A professional code quality suite for software engineers, implementing SOLID principles, design patterns, refactoring techniques, and technical debt management to ensure clean, maintainable, and production-ready code.