Explore our collection of Agent Skills to enhance your AI workflow.
Deploys and manages cloud-based AI agent swarms using event-driven workflow automation and intelligent coordination.
Orchestrates IT outage recovery and security incident management using industry-standard frameworks and structured communication workflows.
Automates the end-to-end pipeline of deep research, source management, and presentation slide generation using Google NotebookLM.
Converts audio recordings and PDF documents into structured markdown for qualitative research and analysis.
Enables cross-project communication and task delegation between Claude instances using a standardized markdown-based messaging system.
Orchestrates comprehensive GitHub release pipelines using AI swarms to automate versioning, testing, deployment, and documentation.
Facilitates reflexive qualitative data analysis through dialogical questioning and multi-stage visible reasoning.
Implements standardized QA frameworks and test design patterns to ensure comprehensive software quality and accessibility coverage.
Generates thorough, validated implementation plans for complex software features using structured multi-step agent orchestration.
Manages sophisticated vector database operations including QUIC synchronization, hybrid search, and distributed multi-agent coordination.
Implements a structured 5-phase development framework using 17 specialized AI agents to automate software engineering from research to deployment.
Manages Confluence documentation with high-performance tools for uploading large files, structural page edits, and seamless Markdown synchronization.
Implements high-performance persistent memory and learning patterns for AI agents using AgentDB.
Analyzes git branch changes to identify and resolve software design principle violations like YAGNI, DRY, and SRP.
Implements high-performance adaptive learning and experience replay for AI agents using AgentDB's ultra-fast vector storage.
Automates the documentation of bug fixes and troubleshooting sessions using the STAR method and root cause analysis.
Orchestrates complex multi-agent workflows using a queen-led hierarchical architecture and Byzantine consensus for high-reliability collective intelligence.
Guides the architectural planning and tech stack selection for modern Vite and React applications using industry best practices.
Automates the creation of Momentum CMS collections with pre-configured schemas, access controls, and field definitions.
Implements professional CLI design principles and best practices for creating robust, user-friendly Nushell scripts and tools.
Develops and maintains custom WordPress Gutenberg blocks with support for modern block standards, dynamic rendering, and complex migrations.
Trains and deploys complex neural networks across distributed E2B sandbox environments directly within Claude.
Performs deep AST-based code analysis and structural pattern matching across dozens of programming languages.
Automates the discovery, retrieval, and organization of academic literature for qualitative research and theoretical pattern extraction.
Orchestrates cost-effective qualitative research workflows using Kimi K2.5 models and advanced context caching strategies.
Enforces modern PHP 8.x syntax and strict typing standards to ensure high-quality, type-safe codebases.
Automates file uploads and media embedding for Jira issues and Confluence pages via the Atlassian REST API.
Designs optimized database schemas, Phinx-based migrations, and multi-tenant architectures specifically for PHP CakePHP applications.
Manages the foundational state, logging, and workflow enforcement for AI-assisted qualitative research projects.
Converts Figma designs into production-ready Flutter code with pixel-perfect accuracy and automated asset management.
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