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 secure environment variable management pattern using direnv to automatically load and validate secrets.
Configures sophisticated chart axis mappings and visual display options for Drizzle Cube data visualizations.
Performs comprehensive code quality assessments using an ensemble of specialized AI agents to ensure security, performance, and maintainability.
Automates the installation and management of KASM Workspaces for secure, browser-based containerized desktops on Ubuntu ARM64.
Bridges Claude Code CLI and Agent SDK to enable autonomous, long-running background development tasks.
Integrates FastMCP Cloud servers with the Claude Agent SDK using optimized HTTP transport patterns and secure authentication.
Automates Open RPG gameplay with strategic decision-making and narrative storytelling via MCP tools.
Streamlines feature engineering in R using standardized preprocessing patterns for the recipes package.
Implements robust data splitting and resampling methods for machine learning validation using the R rsample package.
Analyzes marketing performance data to generate client-ready reports and interactive HTML dashboards with actionable insights.
Extracts complex visual data, diagrams, and charts from PDF documents using vision-based analysis to generate structured Markdown.
Automates documentation collection and structured data extraction using Playwright, BeautifulSoup, and Scrapy templates.
Guides the full lifecycle of feature implementation through systematic codebase exploration, architectural design, and multi-perspective code reviews.
Analyzes German U19 badminton ranking data from the DBV directly within Claude Code.
Generates comprehensive ecosystem progress reports and efficiency metrics to document development achievements and ROI.
Streamlines the integration of OpenRouter with major AI frameworks through automated setup scripts and production-ready code templates.
Provides robust testing templates and mock provider implementations for Vercel AI SDK applications to ensure reliable AI integration.
Converts Notion databases, pages, and search results into structured, AI-readable Markdown format.
Provides production-ready Celery templates for robust background task processing with built-in error handling, rate limiting, and validation.
Automates the creation of comprehensive Markdown documentation for database master tables by analyzing schemas, CSV files, and source code.
Creates distinctive, production-grade frontend interfaces that avoid generic AI aesthetics through bold design thinking and meticulous implementation.
Converts Jira issues, backlogs, and sprint data into structured, AI-readable Markdown format using Atlassian MCP.
Automates dependency optimization, security patching, and package lifecycle management for Node.js projects.
Validates, diagnoses, and fixes Vercel AI SDK provider configurations to resolve authentication, environment, and model compatibility issues.
Orchestrates the lifecycle of AI tasks by establishing structured working directories, clear objectives, and persistent documentation for seamless project continuity.
Streamlines updates and migrations for @lenne.tech/nest-server through structured migration guides, breaking change analysis, and automated workflows.
Implements modern AI patterns including streaming responses, tool calling, and structured outputs using the Vercel AI SDK.
Automates periodic message prompts and AI responses within your Claude conversation using standard cron expressions or millisecond intervals.
Implements robust Redis-based rate limiting algorithms to protect APIs from abuse and manage request quotas efficiently.
Simplifies the integration and customization of Clerk authentication interfaces using pre-built templates and advanced theming patterns.
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