Explore our collection of Agent Skills to enhance your AI workflow.
Guides developers through creating, configuring, and optimizing autonomous agents within the Claude Code ecosystem.
Architects optimal startup team structures, hiring roadmaps, and compensation models from pre-seed to Series A.
Guides the creation of high-quality Model Context Protocol (MCP) servers using standardized workflows for Python and TypeScript.
Creates distinctive, production-grade frontend interfaces with high design quality that avoid generic AI aesthetics.
Accesses and analyzes comprehensive drug data including properties, interactions, targets, and chemical structures from the DrugBank database.
Builds sophisticated, multi-component Claude.ai HTML artifacts using modern React, Tailwind CSS, and shadcn/ui frameworks.
Designs resilient distributed workflows using Temporal patterns to ensure reliable microservice coordination and state management.
Automates the creation, validation, and sharing of custom Claude skills with team members via Slack.
Facilitates the creation of high-quality long-form content through collaborative outlining, real-time research, and iterative section-by-section feedback.
Standardizes the architecture and directory layout for Claude Code plugins to ensure portability and automatic component discovery.
Enforces a mandatory verification protocol requiring empirical evidence before any task is marked as complete or successful.
Applies Test-Driven Development principles to create, optimize, and verify high-quality documentation for Claude Code skills.
Provides a standardized framework and automated tools for building, validating, and packaging specialized Claude Code skills.
Generates, validates, and finalizes comprehensive technical specifications for new software features within Claude Code.
Creates isolated, verified Git worktrees for parallel feature development and safe workspace management.
Implements comprehensive Sentry v8 error monitoring and performance tracing across backend services.
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.
Automates the process of resolving technical issues by extracting requirements from Asana tasks and generating validated pull requests.
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.
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.
Optimizes cloud infrastructure spending across AWS, Azure, and GCP through resource rightsizing, tagging strategies, and reserved capacity planning.
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