Explore our collection of Agent Skills to enhance your AI workflow.
Implements a 7-action space with integrated position sizing and small account simulation for reinforcement learning trading models.
Accesses the Ensembl REST API to retrieve genomic sequences, gene annotations, and variant analysis data for over 250 species.
Ensures quantitative accuracy in microscopy deconvolution by preserving original intensity relationships across image channels.
Manages social media content, schedules posts, and tracks analytics across platforms like X, LinkedIn, and Threads using the Typefully API.
Streamlines the creation of complex, multi-component React and shadcn/ui artifacts for the claude.ai interface.
Automates the archival and quality classification of algorithmic trading models based on performance metrics and risk thresholds.
Synchronizes task lists from markdown files, messages, or structured data with GitHub Issues and Project boards using the GitHub CLI.
Corrects file path errors and API key configurations in Google Colab environments after repository extraction.
Generates intelligent, non-redundant test plans by analyzing code changes to ensure comprehensive coverage without over-testing.
Automatically captures AI interactions into structured daily logs and exports formatted content to Notion for long-term archiving and research tracking.
Optimizes PPO neural network dimensions to balance trading model capacity, inference speed, and hardware memory usage.
Converts academic course assignment PDFs into actionable, time-blocked markdown checklists that respect student schedules by prioritizing weekdays.
Integrates multi-agent Claude systems into algorithmic trading pipelines to optimize model training and manage live risk with automated oversight.
Builds full-stack AI agents by integrating Google ADK backends with CopilotKit-powered React frontends and Gemini models.
Accelerates the development of custom Claude Code Skills by providing a standardized boilerplate and structured workflow.
Designs scalable and maintainable application structures using Clean Architecture, DDD, and Microservices patterns.
Generates professional ASCII art diagrams to visualize system architectures, project workflows, and complex data structures directly within the console.
Optimizes financial data retrieval by caching market symbol data to reduce API latency and avoid rate limits during trading bot development.
Integrates Claude with the Storj Gerrit code collaboration service for streamlined code reviews and repository management.
Implements professional version control practices, semantic commit messaging, and standardized branching strategies for collaborative development.
Streamlines Python development with ultra-fast dependency management, virtual environments, and lockfile synchronization.
Evaluates research rigor by assessing methodology, statistical validity, and bias using established frameworks like GRADE and Cochrane.
Optimizes the visualization of sparse single-cell gene expression data by implementing alternative plotting patterns that prevent boxplot collapse.
Optimizes monorepo design and management using industry-standard tools like Turborepo, Nx, and pnpm workspaces.
Reorganizes Python projects into self-contained packages with internal configuration for maximum portability.
Updates Claude plugin definitions and documentation in real-time based on developer feedback during testing sessions.
Analyzes meeting transcripts to identify communication patterns, behavioral trends, and actionable leadership feedback.
Lists connected Android physical devices and emulators to streamline mobile development and debugging workflows.
Implements the minimal code required to pass failing tests while strictly adhering to Test-Driven Development principles.
Executes tests adaptively across any framework or language, analyzes failures, and generates detailed diagnostic reports to facilitate rapid iteration.
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