Explore our collection of Agent Skills to enhance your AI workflow.
Reorganizes Python projects into self-contained packages with internal configuration for maximum portability.
Optimizes the visualization of sparse single-cell gene expression data by implementing alternative plotting patterns that prevent boxplot collapse.
Optimizes financial data retrieval by caching market symbol data to reduce API latency and avoid rate limits during trading bot development.
Integrates multi-agent Claude systems into algorithmic trading pipelines to optimize model training and manage live risk with automated oversight.
Optimizes PPO neural network dimensions to balance trading model capacity, inference speed, and hardware memory usage.
Corrects file path errors and API key configurations in Google Colab environments after repository extraction.
Ensures quantitative accuracy in microscopy deconvolution by preserving original intensity relationships across image channels.
Implements a 7-action space with integrated position sizing and small account simulation for reinforcement learning trading models.
Implements high-performance and secure Row Level Security (RLS) policies and functions for Supabase projects.
Refactors Jupyter notebook code into reusable Python modules while preserving critical variable definitions and configuration.
Provides real-time visibility into silent universe selection phases by implementing standardized progress callbacks and notebook-friendly output.
Optimizes Jupyter notebook workflows by preventing unnecessary kernel restarts when using the IPython autoreload extension.
Accelerates financial correlation matrix computations using GPU-vectorized PyTorch operations and persistent SQLite caching.
Optimizes historical market data retrieval by eliminating redundant downloads through persistent caching and incremental gap-filling.
Implements a multi-stage validation system for algorithmic trading that filters signals through pattern-matching and risk-management gates.
Implements robust, PCI-compliant Stripe payment flows including checkout sessions, subscriptions, and secure webhook handling.
Manages separate development and production environments for private repository trading models and Colab training.
Analyzes and optimizes cryptocurrency trading strategies to minimize fees on the Alpaca platform through direct pair rotations.
Implements automated, declarative Kubernetes deployments using ArgoCD and Flux CD following OpenGitOps principles.
Audits and optimizes marketing and operational copy for quality, clarity, and legal compliance.
Produces a complete set of PWA-compliant icons, favicons, and placeholder screenshots from a single high-resolution source image.
Implements a structured checkpointing system for connecting multiple Jupyter notebooks into robust, memory-efficient data pipelines.
Optimizes financial data pipelines by automatically filtering non-standard ticker symbols that cause API errors during sector lookups.
Optimizes Chinese articles through systematic typo correction, linguistic auditing, and structural improvement suggestions.
Optimizes AI agent communication and memory persistence by implementing the token-efficient Token-Oriented Object Notation (TOON) format.
Enforces Alpaca broker-specific constraints by filtering unsupported crypto short orders while maintaining valid equity shorting capabilities.
Automates the identification, analysis, and safe integration of remote Git branches into stable codebases.
Queries Google NotebookLM directly from Claude Code to provide source-grounded, citation-backed answers from your uploaded documents.
Designs and implements Python-based automated response workflows and security orchestration scripts within the LimaCharlie platform.
Accelerates quantitative trading universe selection by 3-4x through parallel processing and optimized caching strategies.
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