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。
Implements a systematic file-based knowledge accumulation and retrieval system to prevent redundant work and retain project-specific insights.
Implements a systematic 4-phase methodology to identify and resolve root causes of software bugs rather than just patching symptoms.
Facilitates the design of event-sourced systems using the Event Modeling methodology to ensure zero information loss and shared domain understanding.
Manages local project tasks, stories, and dependencies using a markdown-based CLI integrated directly into your repository.
Enforces GF(3) ternary color conservation across navigator compositions to ensure deterministic data traversal and structural integrity.
Enforces a disciplined three-phase TDD cycle with strict file boundaries and integrated domain modeling reviews to prevent primitive obsession.
Verifies global consistency across modular codebases using topological sheaf cohomology and Čech descent conditions.
Facilitates structured generation and algebraic modeling using colored operad composition.
Generates sheaf-theoretic models and formal logic structures using forcing semantics and internal topos languages.
Implements Brad Frost's Atomic Design methodology to build scalable, maintainable UI component hierarchies through compositional patterns.
Provides rigorous correctness guarantees for AI systems through automated theorem proving, interval arithmetic, and categorical proofs.
Indexes a curated collection of applied category theory, MCP servers, and high-performance functional programming resources.
Enforces GF(3) ternary color conservation across data navigation paths to ensure deterministic traversal and structural integrity.
Manages ATProto records and Bluesky content through a streamlined CLI interface.
Orchestrates a multi-language environment for advanced social data analysis, media processing, and deterministic generative aesthetics using Julia, Clojure, and Python.
Builds and manages stateful AI agents with long-term memory and persistent context using the Letta (MemGPT) framework.
Automates comprehensive security audits and vulnerability scanning across source code, dependencies, and infrastructure.
Generates structured Product Requirements Documents using a guided interactive workflow to streamline feature planning and technical specifications.
Tracks and forecasts performance against grant and business development goals with real-time Knack database integration.
Generates deterministic GF(3) colored identifiers for hierarchical spatial indexing and location-based clustering.
Builds and manages durable, long-running workflows that survive system failures and ensure reliable execution of complex distributed processes.
Automates iOS beta distribution, tester management, and Fastlane workflows through Apple's TestFlight platform.
Implements a robust pause-and-resume pattern that allows background agents to request user clarification without losing progress or context.
Guides users in selecting the optimal Anthropic interface for coding, automation, research, and data processing tasks.
Builds and integrates sophisticated AI workflows using the Glif platform for automated content and image generation.
Integrates high-quality AI voice synthesis and cloning capabilities into development workflows using ElevenLabs.
Automates test execution by configuring webhook triggers and scheduled cron jobs for Testany pipelines.
Verifies localization, RTL support, and UX consistency across multiple languages in iOS applications through deep static analysis.
Optimizes Knack API performance by implementing intelligent caching and strict rate-limit enforcement.
Reduces token consumption and eliminates manual data entry by leveraging Model Context Protocol (MCP) servers for direct data access.
Scroll for more results...