Explore our collection of Agent Skills to enhance your AI workflow.
Implements advanced property-based testing strategies to identify edge cases and ensure system invariants across multiple programming languages.
Bootstraps and configures dynamic frontend plugins for Red Hat Developer Hub, including UI components, entity cards, and custom themes.
Provides expert guidance and implementation patterns for creating high-performance, deterministic fuzzing harnesses across multiple programming languages.
Isolates specific XML elements from large source files while maintaining structural integrity and formatting.
Standardizes and automates the Drizzle ORM schema management, migration generation, and database seeding workflow.
Accelerates the development of scalable, modular Node.js backend applications using NestJS and TypeScript best practices.
Performs coverage-guided fuzz testing for pure Python code and C extensions to detect memory corruption and complex logic errors.
Automates the creation, management, and optimization of LinkedIn posts using the official API to maximize professional engagement.
Automates git commit creation and branch pushing following the official Conventional Commits specification.
Guides the evaluation and implementation of multi-platform application strategies using shared codebases for iOS, Android, and web.
Secures Temporal clusters using mTLS, role-based access control (RBAC), and network isolation policies.
Builds high-performance, cinematic scroll-driven web experiences using advanced parallax and animation techniques.
Automates the setup of a comprehensive activity tracking system to monitor skill execution, duration, token usage, and API costs.
Automates the end-to-end software development lifecycle from initial brainstorming to verified, production-ready implementation.
Automates the entire software development lifecycle from GitHub issue ingestion to verified deployment without manual intervention.
Transforms raw financial evidence like receipts and invoices into structured markdown transcriptions and journal entry JSON for automated bookkeeping.
Installs the Kakutey command-line interface to enable automated bookkeeping and financial management directly from your terminal.
Generates comprehensive requirements for building isolated, self-bootstrapping git worktree environments to enable autonomous AI development.
Breaks down complex design documents into small, manageable, and agent-executable task files.
Streamlines financial record-keeping by managing journal entries and account lists through the Kakutey CLI.
Scaffolds organized folder structures for annual tax filing and bookkeeping workflows.
Manages bookkeeping evidence files by uploading, searching, and linking receipts and invoices to journal entries within the Kakutey ecosystem.
Terminates active Kakutey bookkeeping application processes across backend and frontend ports.
Verifies the operational status of the Kakutey bookkeeping application's backend and frontend services.
Initializes the Python virtual environment and installs necessary dependencies for Jira workflow integration.
Launches the Kakutey bookkeeping application by orchestrating the Electron frontend and FastAPI backend services.
Analyzes and describes visual content from images and PDF files using the Gemini 1.5 Flash vision model.
Updates and manages existing journal entries and evidence linking within the Kakutey bookkeeping application.
Resumes stalled workflows by resetting stuck tasks to a pending state for immediate reprocessing.
Adds new tasks to the dr-done queue for future execution without interrupting current workflows.
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