Explore our collection of Agent Skills to enhance your AI workflow.
Resolves UnicodeEncodeError crashes in Python scripts by standardizing terminal output for Windows console compatibility.
Validates machine learning training scripts and configurations to ensure path accuracy, weight consistency, and environment compatibility.
Streamlines Cloudflare application development by fetching real-time documentation and providing configuration patterns for Workers, Pages, and storage services.
Automates Chrome interactions using Puppeteer to navigate, scrape data, and capture web page screenshots directly via AI agents.
Corrects financial logic in trading simulators to prevent inflated equity curves and inaccurate drawdown metrics.
Synchronizes internal trading states with live broker positions to eliminate data drift and ensure execution accuracy.
Optimizes yfinance data retrieval by implementing a permanent SQLite caching layer to bypass API rate limits and 401 errors.
Trains Reinforcement Learning models across multiple market timeframes with automated data resampling and professional market alignment.
Standardizes the handling of trading signal data structured as parallel lists to prevent dashboard crashes and improve processing efficiency.
Ensures Python compatibility shims correctly export private functions during module reorganizations.
Automates the recording of actual trading results against predicted signals to enable accurate performance metrics and model retraining.
Eliminates HOLD bias in reinforcement learning trading models by calibrating reward functions and slippage penalties.
Optimizes Python dataclasses for memory efficiency, immutability, and validation using advanced PEP 557 patterns.
Monitors GitHub Actions and CI/CD pipeline statuses for pull requests with detailed error reporting.
Reorganizes scattered root-level modules into logical subpackages while maintaining backwards compatibility using import shims.
Optimizes segmentation, feature extraction, and spatial analysis workflows for high-dimensional multiplex immunofluorescence imaging data.
Generates high-fidelity videos and synchronized audio using Google Veo 3.1 via the Vertex AI API.
Optimizes trading strategy execution by removing redundant heuristic pattern filters that conflict with Reinforcement Learning model signals.
Automatically creates a specialized team of project-aware Claude Code agents by analyzing your codebase's architecture and technology stack.
Automates and streamlines Product Management tasks within Linear, including issue triaging, sprint planning, and PRD generation.
Transforms vision and codebase analysis into structured, operational AI domain profiles for specialized task execution.
Manages configuration settings and language preferences for the yux-claude-hub plugin ecosystem.
Generates comprehensive markdown and JSON reports of GitHub PRs, issues, and commits using the GitHub CLI.
Implements a documentation-first workflow for existing codebases to ensure code and specifications remain perfectly synchronized.
Delegates complex coding and reasoning tasks to the OpenAI Codex CLI with advanced model selection and session management.
Integrates Claude Code with Airtable to manage bases, tables, and records through a streamlined Python interface.
Locates and retrieves historical Claude Code conversations across projects using keywords, technical topics, or specific dates.
Implements high-performance Python applications using asyncio, concurrent programming, and async/await patterns.
Generates comprehensive API changelogs and detects breaking changes by analyzing Git diffs of OpenAPI specifications and source code.
Automates the end-to-end pull request merge process by synchronizing GitHub CI checks with Linear issue status updates.
Scroll for more results...