Explore our collection of Agent Skills to enhance your AI workflow.
Enforces C++20 best practices and Google C++ Style conventions for high-performance computing projects.
Implements an omniscient, zero-iteration debugging workflow that guarantees surgical code fixes through rigorous evidence-based deduction.
Automates browser-based tasks including web testing, form filling, and data extraction through an interactive CLI.
Implements industry-standard security practices for LangChain applications to prevent prompt injection and secure sensitive data.
Optimizes MaxFuse integration parameters for high-dimensional protein panels to prevent CCA overfitting during multi-omic data alignment.
Accesses real-time and historical on-chain metrics for Bitcoin, Ethereum, and crypto markets to provide data-driven trading insights.
Evaluates upstream changes using systematic design frameworks to streamline decision-making for browser automation tool maintenance.
Automates the deployment of machine learning models to production environments using CI/CD workflows and infrastructure-as-code best practices.
Implements custom callback handlers and real-time event streaming for LangChain applications using webhooks, WebSockets, and SSE.
Standardizes how AI identifies and communicates about specific Jupyter notebook cells using stable, identifiable characteristics instead of volatile cell numbers.
Standardizes scale alignment for multi-modal RNA and protein data integration to ensure accurate cross-modal matching.
Provides a comprehensive framework for stress testing and validating the Navigator browser automation CLI.
Validates Model Context Protocol (MCP) server implementations for browser automation via automated JSON-RPC testing.
Streamlines the process of upgrading Cursor IDE versions and migrating personalized settings for a seamless development experience.
Syncs the Navigator agent-browser fork with upstream sources while analyzing changes and generating integration documentation.
Streamlines the management and optimization of VS Code extensions within the Cursor IDE to ensure a high-performance development environment.
Provides deep technical insights and implementation patterns for the JUDO Core Dispatcher to enable advanced customization and debugging.
Customizes and extends the JUDO Guice dependency injection system to integrate custom components and override default runtime behaviors.
Imports task lists and dependencies from previous Claude Code sessions to maintain workflow continuity across different environments or agents.
Orchestrates complex development tasks by intelligently routing requests between single or multiple specialist agents based on real-time complexity analysis.
Optimizes system performance by identifying and terminating orphaned Claude Code processes and clearing stale session data.
Optimizes reinforcement learning reward functions for automated trading to eliminate reward hacking and improve P&L gradient signals.
Conducts multi-agent, high-confidence code reviews for GitHub pull requests using historical context and project-specific guidelines.
Monitors the health and operational status of the cc-soul background daemon.
Standardizes Gemini CLI usage for clean, efficient code and plan reviews using stdin piping.
Diagnoses and resolves bimodal matching score distributions in MaxFuse multi-modal data integration pipelines.
Compiles and installs the chitta core binaries and embedding models from source code.
Gracefully terminates the cc-soul daemon to ensure state is saved and resources are cleaned up.
Prevents data shape mismatches and synchronization errors when modifying Jupyter notebook data sources.
Optimizes MaxFuse parameters to prevent RNA cell loss in datasets with extreme protein-to-RNA imbalance ratios.
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