Explore our collection of Agent Skills to enhance your AI workflow.
Automates the generation of comprehensive pytest suites, fixtures, and data factories for Frappe Framework v15 applications.
Redesigns cluttered codebases into clean, modular package structures using domain-driven and architectural principles.
Scaffolds a structured personal knowledge management system with microdatabases, VitePress documentation, and automated Claude hooks.
Automates semantic version bumping, manifest updates, and git tagging for plugin development workflows.
Generates production-ready Frappe Framework v15 DocTypes with service layers, repository patterns, and full test coverage.
Implements structured service layer classes for Frappe v15 to separate complex business logic from data access.
Enforces opinionated, production-ready Django development patterns and project structures.
Implements high-performance Django testing suites using pytest and factory_boy for robust, isolated code verification.
Automates DeFi lending strategies, profit extraction, and position health monitoring on the AAVE protocol.
Implements comprehensive Python testing strategies using pytest, advanced fixtures, and robust mocking techniques.
Documents and identifies function purposes, struct fields, and data types within the Super Smash Bros. Melee decompilation project.
Scaffolds and configures new TIA XMPP agents with support for multiple LLM providers and custom profiles.
Facilitates the Extreme Programming (XP) planning phase by breaking down complex features into small, vertical slices ready for implementation.
Transforms raw interview data and developer notes into structured, actionable requirement specifications with implementation guidance.
Automates the scaffolding and configuration of new Claude Code plugins with standardized directory structures and metadata.
Optimizes JavaScript and TypeScript monorepo build pipelines using Turborepo's advanced caching and task orchestration.
Transforms vague concepts into concrete technical specifications through structured Socratic dialogue and automated codebase reconnaissance.
Standardizes repository workflows for AGILab development, environment management, and AI engineering application deployment.
Generates and implements production-ready UI components using the OpenTiny TinyVue framework with strict API compliance.
Streamlines Git worktree management by automating the creation, listing, and cleanup of development environments using gtr.
Accelerates the development lifecycle by automatically executing TDD phases and quality gates from pre-approved technical specifications.
Validates Schema.org JSON-LD structured data against Google Rich Results standards to ensure search engine visibility.
Guides the AI through a structured, multi-step analytical framework to solve complex problems using iterative reasoning and self-correction.
Automates the building and uploading of iOS applications to TestFlight using Fastlane.
Automates iOS code signing by managing certificates and provisioning profiles through a centralized, encrypted Git repository using Fastlane Match.
Automates the submission and release process for iOS applications to App Store Connect using Fastlane.
Automates YAML validation, schema generation, and configuration optimization for Kubernetes, Docker, and CI/CD pipelines.
Provides persistent cloud-synced memory for AI coding assistants to retain architectural decisions, developer preferences, and multi-session project context.
Manages parallel development environments using Git worktrees with automated dependency installation and environment setup.
Scans Claude Code plugins and skills for malicious code or deceptive instructions before installation or execution.
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