Explore our collection of Agent Skills to enhance your AI workflow.
Automates incremental software development using a strict test-driven development (TDD) workflow and session-based state management.
Searches the COMSOL Multiphysics documentation to provide instant technical guidance on FEM simulation, mesh refinement, and solver configurations.
Manages automated WhatsApp communication and notifications via Evolution API for appointment scheduling systems.
Orchestrates Codex CLI tools for full automation of file operations, shell commands, and research-driven workflows.
Implements secure, PCI-compliant Stripe payment processing for checkouts, subscriptions, and automated webhooks.
Standardizes the creation and maintenance of robust, idempotent shell scripts for repository automation.
Generates structured, safe disk cleanup plans by analyzing file snapshots to identify junk and reclaim storage space.
Proposes structured, data-driven experiment plans by analyzing historical training reports, logs, and research goals.
Provides a comprehensive knowledge base and implementation guide for the entire Anthropic product ecosystem, including API, SDKs, and Claude Code.
Transforms natural language procedure descriptions into structured, machine-readable step lists for automated execution.
Streamlines Supabase project management, local development, and database migrations within Claude.
Implement efficient vector-based similarity search, semantic retrieval, and RAG patterns across major vector databases.
Enhances game item entries with rich backstories, maker history, and rumor hooks to deepen world-building lore.
Orchestrates and generates optimized prompts for the Ralph Wiggum autonomous loop technique to automate coding tasks.
Orchestrates the end-to-end lifecycle of autonomous software development tasks, from planning and TDD implementation to validation and commits.
Streamlines the development of Python workflows using Awkward Array for jagged, nested, and record-based data structures.
Builds comprehensive evaluation frameworks to measure, validate, and optimize AI agent performance and context engineering strategies.
Maintains persistent session state, feature progress, and execution checkpoints for autonomous AI coding workflows.
Generates structured, multi-phase prompts for building complete software projects from scratch using the Ralph Wiggum methodology.
Navigates C# codebases quickly using optimized ripgrep recipes for symbols, dependencies, and project structures.
Enforces standardized Supabase integration patterns using a unified service layer and secure Service Role management.
Transforms vague project ideas into actionable GitHub issues and structured development branches using a specialized shaping workflow.
Maintains structured implementation plans and progress updates on GitHub issues using the gh CLI and stable comment markers.
Synchronizes execution plans with GitHub issue descriptions to maintain team alignment and project transparency.
Builds and queries relational knowledge graphs to provide Claude with a structural and semantic understanding of complex codebases.
Provides optimized ripgrep commands for rapid navigation and symbol discovery within C# codebases.
Optimizes application performance by offloading CPU-intensive computations to worker threads while maintaining main-thread responsiveness.
Automatically synchronizes local Auto-Claude skills and documentation with the latest upstream releases and versioning.
Automates the creation and management of detailed technical specifications and implementation plans for autonomous software builds.
Visualizes and tracks Claude Code implementation plans in real-time within a dedicated terminal pane.
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