Explore our collection of Agent Skills to enhance your AI workflow.
Enables natural language conversations and AI-powered synthesis of your Readwise highlight library.
Orchestrates autonomous, iterative software construction using the AI-DLC 2026 hat-based methodology.
Implements custom code logic and lifecycle hooks for Speakeasy-generated SDKs to handle telemetry, authentication, and request transformations.
Evaluates organizational effectiveness using Simon Wardley's universal patterns to eliminate operational inefficiencies and improve strategic awareness.
Conducts deep technical research using real-world code patterns and official documentation to find production-ready implementations.
Guides the development of modular, context-efficient skills to extend Claude Code with specialized workflows and domain expertise.
Conducts comprehensive UX audits, accessibility reviews, and interaction evaluations using industry-standard frameworks.
Accelerates the development of production-ready Next.js 15+ applications by enforcing expert architectural patterns and performance optimizations.
Manages Google NotebookLM notebooks, sources, and AI-generated overviews through a specialized command-line interface.
Automates the cleanup of stale Readwise Reader documents to declutter your digital reading library.
Manages Claude Code skills by syncing them from local directories or remote Git repositories with ease.
Generates production-ready GitHub Actions workflows for automated testing, building, and deployment across diverse tech stacks.
Applies professional color palettes and font pairings to HTML, documents, and slides using a curated library of ten distinct themes or custom-generated styles.
Integrates your Readwise library into Claude Code workflows to search highlights, fetch full-text articles, and manage reading data via a dedicated librarian agent.
Decomposes complex problems into iterative, reflective steps to ensure high-precision reasoning and architectural design.
Retrieves historical project data, user preferences, and learned patterns to ensure consistent and contextually aware AI assistance.
Generates structured, actionable technical specifications with demoable units and proof artifacts to guide feature development.
Standardizes software requirements using a provider-agnostic YAML schema for structured, validated specifications.
Manages git worktrees for seamless parallel feature development and isolated task management in Claude Code.
Architects, audits, and optimizes structured multi-phase AI agent workflows with integrated enforcement gates and verification patterns.
Transforms unstructured Markdown documentation into rigorous, machine-verifiable data schemas using Pydantic models and YAML entities.
Generates production-grade, structured system prompts by analyzing complex user requirements and defining optimal AI agent architectures.
Provides a critical second opinion on code changes by integrating OpenAI Codex with structured evaluation and categorization.
Automates and interacts with terminal user interfaces (TUIs) and REPLs using the Zellij terminal multiplexer.
Orchestrates parallel execution of independent tasks by spawning and managing specialized worker agents.
Generates professional draw.io diagrams and flowcharts from natural language descriptions for instant browser rendering.
Transforms technical specifications into dependency-aware task graphs for autonomous agent execution.
Structures and optimizes technical talks, architecture reviews, and live coding demonstrations for developer audiences.
Invokes macOS app URL schemes synchronously from the command line to capture responses from productivity apps like Things, Bear, and OmniFocus.
Implements robust fault-tolerance patterns for .NET applications using Polly and Brighter frameworks.
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