Explore our collection of Agent Skills to enhance your AI workflow.
Generates database-agnostic CFWheels migrations for schema management while enforcing best practices and fixing common CLI bugs.
Automates end-to-end scientific research workflows from initial data analysis to publication-ready LaTeX manuscripts.
Manages and evolves project-specific knowledge in CLAUDE.md to improve AI performance over time.
Access and filter real-time logs from LlamaFarm services for debugging and system monitoring.
Automates the end-to-end scientific research lifecycle from data analysis and hypothesis generation to publication-ready LaTeX manuscripts.
Enforces strict operational protocols and concise communication patterns for safe, systematic AI task execution.
Deploys and manages Portainer CE to provide a comprehensive web-based graphical interface for Podman containers and k3d Kubernetes clusters.
Analyzes and retrieves past Claude Code session data to provide context, debug errors, and track workflow patterns.
Integrates Stripe payment processing into Next.js applications using modern checkout patterns, subscriptions, and secure webhook handling.
Automatically identifies story genres and time periods to activate specialized writing knowledge bases without manual intervention.
Orchestrates multiple Claude Code agents through a structured multi-agent coordination system for complex, cross-project workflows.
Guides authors through a systematic seven-step methodology to plan, write, and analyze professional-grade novels using AI.
Implements secure secrets handling and rotation for CI/CD pipelines using Vault, AWS, and native cloud solutions.
Transforms technical git commits into polished, user-friendly release notes and customer-facing changelogs automatically.
Streamlines implementation and task tracking through structured planning and automated verification steps.
Automates iOS app builds, testing, and simulator management using accessibility-driven navigation and structured data.
Conducts deep technical research using GitHub code search and Exa to find real-world implementation patterns and production-ready examples.
Solves complex, multi-step problems through a structured framework of sequential, reflective, and adaptive thoughts.
Streamlines the creative process for novelists using a systematic seven-step methodology for planning, writing, and analysis.
Manages a hierarchical memory system featuring SQL-style querying and episodic tracking to provide AI assistants with persistent project history and cognitive context.
Automates the development, testing, and execution of Markdown scanning workflows using the Markdowntown CLI.
Automates a rigorous test-driven development cycle for AI agents by looping through implementation, testing, and debugging until all checks pass.
Summarizes text files and provides basic file statistics to streamline workspace data management.
Automates the entire software release lifecycle including version bumping, git tagging, and GitHub release generation.
Validates Claude Code skills for architectural integrity, frontmatter compliance, and development best practices.
Implements secure, production-grade authentication and authorization systems using industry-standard patterns like JWT, OAuth2, and RBAC.
Provides a systematic framework for isolating, diagnosing, and resolving complex software bugs and performance bottlenecks across diverse technology stacks.
Orchestrates complex LLM applications using graph-based abstractions, agentic design patterns, and modular task decomposition.
Monitors and reports AI token consumption and context window availability within Claude sessions.
Guides the development of optimized Claude Code skills using standardized frameworks and context-efficient design patterns.
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