AIエージェントの能力を拡張するClaudeスキルの完全なコレクションをご覧ください。
Generates and edits Obsidian-compatible Markdown featuring wikilinks, callouts, and YAML properties.
Integrates comprehensive machine learning, optimization, and statistical functions into the East programming language.
Create and manage dynamic database-like views in Obsidian using .base files with custom filters, formulas, and layouts.
Generates and manages Obsidian Base files to create dynamic, database-like views of vault notes.
Generates portable UI layout data structures for the East language using a comprehensive set of pre-defined components.
Generates and edits industry-standard JSON Canvas files for visual brainstorming, mind mapping, and project organization.
Identifies and resolves common PyTorch implementation errors in reinforcement learning and neural network architectures.
Provides a comprehensive suite of I/O functions for the East programming language, enabling seamless integration with databases, cloud storage, and file formats.
Refines complex problems and ideas through iterative Socratic questioning and deep analytical reasoning.
Maintains persistent project context through an automated, multi-layered documentation system that keeps AI agents synced with your codebase.
Identifies and fixes hardcoded values in Jupyter notebooks that conflict with defined configuration constants.
Derives trading selection thresholds from market data to replace hardcoded parameters with dynamic, data-driven values.
Optimizes financial asset selection by applying differentiated filtering logic for equities and cryptocurrencies within trading systems.
Optimizes reinforcement learning training stability and monitoring through learning rate warmups, validation scheduling, and reward weight tuning.
Applies rigorous intellectual scrutiny to ideas, arguments, and reasoning through systematic challenge and questioning.
Implements percentage-based capital allocation and risk limits to ensure trading strategies scale effectively across all account sizes.
Standardizes the generation and PDF archival of Quality Control (QC) heatmaps and profiles for microscopy quantification workflows.
Optimizes CODEX and scRNAseq data integration by incorporating tissue heterogeneity into spatial cell matching workflows.
Persists trading backtest results to an SQLite database to enable historical performance comparison and model optimization.
Analyzes your recent coding history to identify skill gaps and deliver personalized learning reports via Slack.
Implements standardized risk management and drawdown protection patterns for algorithmic trading systems.
Implements high-quality Python coding standards and idiomatic patterns to ensure code is both user-friendly and maintainable.
Analyzes and replicates specific writing voices using a multidimensional framework for consistent, human-like content generation.
Analyzes meeting transcripts to identify communication patterns, behavioral trends, and actionable leadership feedback.
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.
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