Explore our collection of Agent Skills to enhance your AI workflow.
Optimizes GitHub project workflows by caching metadata to prevent API rate limit exhaustion during autonomous development sessions.
Automates the archiving of completed projects by generating intelligent summaries and maintaining a git-backed knowledge base.
Conducts deep product discovery and requirements analysis to transform vague ideas into structured project foundations.
Streamlines product leadership tasks with automated OKR cascading, strategic planning frameworks, and team scaling toolkits.
Builds and deploys production-ready Model Context Protocol (MCP) servers on Cloudflare Workers using TypeScript and the official SDK.
Automates the creation of specialized AI agents, domain-specific workflows, and reusable document templates within the BMAD framework.
Facilitates structured brainstorming and automated research to drive data-backed innovation and creative problem-solving.
Generates and validates Pangolin Newt blueprint configurations in YAML and Docker Labels formats to streamline secure resource proxying.
Performs advanced computational molecular biology tasks including sequence analysis, database queries, and structural bioinformatics.
Simplifies building and managing stateful AI agents with long-term memory using the Letta framework.
Implements robust fault-tolerance patterns for .NET applications using Polly and Brighter frameworks.
Finds, fetches, and legally integrates high-quality images from Wikimedia Commons and CC0 sources into digital projects.
Accesses and analyzes data from the Human Metabolome Database for metabolite identification, biomarker discovery, and clinical research.
Implements high-performance Python applications using asyncio, concurrent programming patterns, and non-blocking I/O architectures.
Provides programmatic access to over 40 bioinformatics web services and databases for streamlined biological data retrieval and analysis.
Directs tasks to specialized UX design expertise based on platform context, design requirements, and specific user experience domains.
Configures Sentry structured logging and console capture across JavaScript, Python, and Ruby projects.
Performs advanced astronomical data analysis, coordinate transformations, and cosmological calculations using the Astropy Python library.
Validates GitLab stack architecture, directory structure, and security configurations to ensure deployment readiness.
Performs objective, data-driven technical analysis of weekly price charts to identify trends, key levels, and probabilistic market scenarios.
Performs comprehensive differential gene expression analysis on bulk RNA-seq data using the Python implementation of DESeq2.
Automatically synchronizes project README files with code changes, feature additions, and dependency updates.
Performs constraint-based metabolic modeling and systems biology simulations to analyze cellular metabolism and phenotype predictions.
Designs and optimizes organizational structures using the four fundamental team types and interaction modes from the Team Topologies methodology.
Enforces integration testing against real local services like databases, caches, and queues to catch bugs that mocks miss.
Automates the organization, descriptive renaming, and retrieval of screenshots to provide structured visual context for Claude.
Architects high-quality Model Context Protocol (MCP) servers to bridge the gap between LLMs and external service APIs.
Automates the creation of professional, categorized release notes by parsing conventional commits and identifying breaking changes.
Provides deep architectural insights and reality-based implementation strategies for the 33GOD agentic pipeline system.
Generates comprehensive product requirements documents and technical specifications to bridge the gap between vision and development.
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