Explore our collection of Agent Skills to enhance your AI workflow.
Optimizes Claude's decision-making process by determining when to act autonomously and when to pause for clarification.
Enforces software design excellence by applying KISS, YAGNI, and SOLID principles to reduce technical debt and improve maintainability.
Reduces Claude Code skill file size and token usage through systematic refactoring, externalization, and modularization patterns.
Optimizes AI responses by eliminating linguistic bloat, filler words, and unnecessary framing to maximize token efficiency and speed.
Automates project management workflows by syncing Linear issues with GitHub Actions and CI pipelines.
Standardizes Git commit messages using the Gitmoji convention and professional formatting best practices.
Generates Ruby and ActiveRecord commands to create and test PostgreSQL hypothetical indexes using the HypoPG extension.
Optimizes token usage and manages context window pressure using MECW principles to prevent AI performance degradation.
Configures Claude Code tool permissions and security rules to control access to files, commands, and web tools.
Optimizes Retell AI API costs through proactive monitoring, usage sampling, and intelligent tier selection.
Performs deep-dive code audits to identify security vulnerabilities, performance bottlenecks, and quality issues across files and directories.
Simplifies the integration of Model Context Protocol (MCP) servers into Claude Code plugins for seamless external service connectivity.
Transforms complex tool chains and large datasets into optimized MCP execution patterns to minimize token usage and prevent context overflow.
Generates high-quality, code-centric SDK documentation following the official tldraw brand voice and technical guidelines.
Guides the creation, auditing, and optimization of specialized Claude Code skills using standardized architectural patterns and best practices.
Ensures Linear integrations are production-ready with comprehensive security, performance, and monitoring audits.
Provides comprehensive guidance and best practices for creating autonomous agents within Claude Code plugins.
Guides developers through creating, structuring, and optimizing specialized skills for Claude Code plugins using modular design and progressive disclosure.
Implements adversary simulation principles and security audit workflows based on the MITRE ATT&CK framework.
Optimizes Python code quality through high-performance linting and formatting using the Rust-based Ruff tool.
Conducts rigorous, high-standard code reviews focusing on security, concurrency, and architectural integrity.
Automates the design, optimization, and implementation of NoSQL database schemas and document structures for scalable applications.
Troubleshoots and resolves common Cursor IDE issues including authentication errors, indexing failures, and performance bottlenecks.
Resolves database schema version conflicts by automatically selecting the most recent migration timestamp.
Executes complex implementation plans using dedicated subagents with automated two-stage reviews for specification compliance and code quality.
Optimizes structured data using TOON v2.0 to reduce token consumption by up to 60% while maintaining readability.
Orchestrates complex code analysis and large-scale refactoring across multiple AI backends like Codex, Claude, and Gemini.
Analyzes codebase patterns to recommend tailored Claude Code automations including hooks, subagents, and MCP servers.
Accelerates debugging and task execution by orchestrating multiple agents to solve independent problem domains concurrently.
Enforces a disciplined workflow for identifying and invoking specialized Claude Code skills before performing any development task.
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