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。
Queries the FRED API for over 800,000 economic time series to support macroeconomic research and financial analysis.
Enforces comprehensive Sentry v8 error tracking and performance monitoring across services to ensure every exception is captured and analyzed.
Tests and validates authenticated API routes using cookie-based JWT authentication and mock authorization patterns.
Generates structured, implementation-ready Product Requirements Documents through an interactive clarification process.
Provides a standardized framework for developing new Agent Skills focused on context engineering and multi-agent systems.
Optimizes agent context management by offloading large data, tool outputs, and persistent state to the filesystem for on-demand retrieval.
Manages your digital presence, content pipeline, and professional network through a structured, AI-assisted personal operating system.
Architects scalable, remote sandboxed environments for background coding agents and multiplayer collaboration.
Automates the end-to-end process of converting literary works into high-quality datasets for fine-tuning AI models on specific authorial voices and writing styles.
Analyzes and optimizes AI agent reasoning traces to eliminate context degradation and improve task performance.
Ensures high-fidelity web research through structured source validation, error recovery protocols, and transparent reasoning cycles.
Orchestrates a structured, multi-agent workflow to conduct deep-dive research, synthesize information from multiple sources, and generate comprehensive reports.
Fetches and synthesizes the latest LangGraph documentation to provide accurate implementation guidance and troubleshooting for agentic workflows.
Guides the architectural design, evaluation, and implementation of LLM-powered applications and agent systems.
Provides foundational principles and implementation patterns for managing language model context windows and attention mechanics in AI agent systems.
Design and implement sophisticated agent memory architectures, from vector stores to temporal knowledge graphs, for cross-session persistence.
Optimizes AI agent token usage through advanced context summarization and structured information preservation.
Designs and implements sophisticated multi-agent architectures for Claude Code by optimizing context isolation and coordination strategies.
Diagnoses and mitigates context-related failures in agent systems to ensure reliable performance across large context windows.
Optimizes AI context window usage through strategic compression, observation masking, and partitioning to improve performance and reduce costs.
Optimizes agent-tool interfaces through consolidation principles, architectural reduction, and precise Model Context Protocol standards.
Builds robust evaluation frameworks and multi-dimensional rubrics to measure, optimize, and validate AI agent performance and context efficiency.
Models autonomous agent behaviors using Belief-Desire-Intention (BDI) architecture and formal cognitive ontologies.
Implements sophisticated LLM-as-a-judge frameworks and evaluation rubrics to ensure production-grade quality and bias mitigation.
Bundles local codebase context with intelligent prompt engineering for high-reasoning AI models like GPT-5.2 Pro.
Automates complex development projects by breaking them into manageable user stories and executing them autonomously with persistent session management.
Migrates legacy Angular-based Vendure Admin UI extensions to the modern React Dashboard framework.
Provides a standardized framework for building and implementing bespoke Claude Code capabilities within specialized engineering environments.
Facilitates structured exploration of user intent and architectural approaches before implementation to ensure project alignment.
Streamlines the creation and management of standardized test fixtures and sample data for automated testing.
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