すべてのClaudeスキルを閲覧

YouTube Transcript Summarizer

Downloads YouTube transcripts and generates structured Markdown summaries with time-stamped key points.

Auto-Continue for Claude Code

Automates Claude Code task progression using intelligent confidence scoring to minimize manual interruptions during extended development workflows.

Claude Skill Template

Provides a standardized framework and boilerplate for developing custom Claude Code skills with consistent structure.

Code Simplification Expert

Simplifies codebases by removing unnecessary abstractions, inlining single-use functions, and flattening deep logic nesting.

SCSS Pattern Discovery

Analyzes existing SCSS and CSS codebases to identify variables, mixins, and utility classes for consistent styling.

Google Chat Integration

Enables seamless interaction with Google Chat spaces to send notifications, list conversations, and manage messages directly through Claude.

Dotted Symbol Exclusion for Trading Data

Optimizes financial data pipelines by automatically filtering non-standard ticker symbols that cause API errors during sector lookups.

Notebook Checkpoint Pattern

Implements a structured checkpointing system for connecting multiple Jupyter notebooks into robust, memory-efficient data pipelines.

Operational Copy Auditor

Audits and optimizes marketing and operational copy for quality, clarity, and legal compliance.

Crypto Trading Fee Optimizer

Analyzes and optimizes cryptocurrency trading strategies to minimize fees on the Alpaca platform through direct pair rotations.

Trading Dual-Folder Workflow

Manages separate development and production environments for private repository trading models and Colab training.

Trading Gates & Pattern Filter

Implements a multi-stage validation system for algorithmic trading that filters signals through pattern-matching and risk-management gates.

Persistent Market Data Cache & Gap-Filling

Optimizes historical market data retrieval by eliminating redundant downloads through persistent caching and incremental gap-filling.

GPU Correlation Accelerator & Cache

Accelerates financial correlation matrix computations using GPU-vectorized PyTorch operations and persistent SQLite caching.

Trading Model Post-Training Workflow

Validates and assesses reinforcement learning trading models through systematic gating, backtesting, and walk-forward validation.

Jupyter Autoreload Awareness

Optimizes Jupyter notebook workflows by preventing unnecessary kernel restarts when using the IPython autoreload extension.

Selection Progress Reporting

Provides real-time visibility into silent universe selection phases by implementing standardized progress callbacks and notebook-friendly output.

Notebook-to-Module Refactoring

Refactors Jupyter notebook code into reusable Python modules while preserving critical variable definitions and configuration.

Trading Position Sizing & Action Space

Implements a 7-action space with integrated position sizing and small account simulation for reinforcement learning trading models.

Deconvolution Intensity Scaling

Ensures quantitative accuracy in microscopy deconvolution by preserving original intensity relationships across image channels.

Trading Model Training Gating

Automates the archival and quality classification of algorithmic trading models based on performance metrics and risk thresholds.

Colab Unzip Path Manager

Corrects file path errors and API key configurations in Google Colab environments after repository extraction.

Network Architecture Sizing for Trading RL

Optimizes PPO neural network dimensions to balance trading model capacity, inference speed, and hardware memory usage.

Multi-Agent Trading Integration

Integrates multi-agent Claude systems into algorithmic trading pipelines to optimize model training and manage live risk with automated oversight.

Selection Data Caching for Trading

Optimizes financial data retrieval by caching market symbol data to reduce API latency and avoid rate limits during trading bot development.

Sparse Expression Visualization

Optimizes the visualization of sparse single-cell gene expression data by implementing alternative plotting patterns that prevent boxplot collapse.

Python Repo Reorganizer

Reorganizes Python projects into self-contained packages with internal configuration for maximum portability.

Invoice Organizer

Automatically organizes messy invoices and receipts by extracting metadata, renaming files, and sorting them into tax-ready folder structures.

ChatKit FastAPI Backend

Implements high-performance FastAPI backends for OpenAI ChatKit with real-time SSE streaming and agent integration.

Error Analysis

Systematically analyzes stack traces and application logs to identify root causes and implement reliable bug fixes.