Explore our collection of Agent Skills to enhance your AI workflow.
Automates the transition of codebases and prompts from previous Claude models to the latest Claude 4.5 Opus model.
Executes complex implementation plans using a structured batch-and-review workflow to ensure accuracy and architectural alignment.
Provides a standardized framework and best practices for creating, structuring, and optimizing specialized skills for Claude Code plugins.
Build secure, lightweight, cross-platform desktop and mobile applications using Rust and web technologies.
Optimizes context window usage by prioritizing essential information and reducing token consumption during autonomous coding tasks.
Executes complex implementation plans by dispatching specialized subagents for independent tasks with mandatory two-stage review cycles.
Streamlines the entire lifecycle of creating, testing, and distributing custom Claude Code plugins and extensions.
Discovers and documents available effects, actions, and placeholders within Clojure Sandestin projects.
Recalls past conversation history and historical project decisions to provide contextual continuity and prevent reinventing solutions.
Facilitates astronomical research and data analysis by providing tools for celestial coordinates, physical units, and FITS file manipulation.
Automates academic research in engineering fields by searching, filtering, and cataloging papers from Semantic Scholar and arXiv.
Facilitates large-scale code transformations using shadow paths and rollback strategies to ensure zero production downtime.
Orchestrates multiple independent AI agents to resolve unrelated software tasks and test failures concurrently.
Discovers, analyzes, and executes Model Context Protocol (MCP) capabilities to extend AI agent functionality through external tools and resources.
Enhances Claude Code with persistent, compressed project memory to reduce API costs and retain long-term architectural context.
Reviews Clojure and ClojureScript code for compliance with Metabase standards and functional programming best practices.
Executes SQL queries against WordPress development databases via Docker containers to inspect data and debug issues.
Generates comprehensive project roadmaps featuring visual timelines, milestones, and high-level feature planning.
Automates and troubleshoots unit and integration tests for database connectors using Testcontainers and Vitest.
Simplifies molecular cheminformatics and drug discovery workflows through a Pythonic interface for RDKit.
Generates standardized, high-quality docstrings for PyTorch functions and methods following official Sphinx and reStructuredText conventions.
Builds and trains self-improving AI agents using nine reinforcement learning algorithms and WASM-accelerated inference.
Applies structural code changes using AST-aware edits to minimize syntax errors and maintain code integrity.
Packages entire code repositories into single, AI-friendly files optimized for Large Language Model context windows.
Employs Sanskrit-based metaphysical frameworks to guide deep problem-solving and pattern recognition within complex systems.
Streamlines customer reference workflows by automating matching, scheduling, compliance, and advocacy impact reporting.
Enables non-interactive, hands-off automation for executing complex development tasks using Codex and GPT-5 models.
Automates laboratory liquid handling and hardware control using a hardware-agnostic Python interface.
Integrates Bitcoin wallets seamlessly into React, Vue, Next.js, and Nuxt 3 projects with support for UniSat and OKX.
Automates the software development lifecycle by decomposing tasks, executing code changes, and managing backlogs autonomously.
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