Explore our collection of Agent Skills to enhance your AI workflow.
Implements real-time event handling for Slack bots and applications using Socket Mode and the Events API.
Spawns autonomous Claude subagents in dedicated tmux sessions to execute ClickUp tasks within isolated git worktrees.
Terminates ClickUp agent tmux sessions and optionally cleans up associated git worktrees to maintain a clean workspace.
Optimizes ERB templates and Stimulus integration for Ruby on Rails applications using standardized view patterns.
Enforces memory limits and standard library constraints for PicoRuby applications running on ESP32 microcontrollers.
Packages entire codebases into single, AI-optimized files for seamless analysis by Large Language Models like Claude and GPT.
Manages multiple AI agent terminal sessions to orchestrate complex sub-tasks and parallelize development workflows.
Orchestrates ClickUp task management, automated branch creation, and parallel agent execution within Claude Code.
Enhances development workflows with persistent memory, automated security guarding, and multi-agent coordination for complex repositories.
Builds high-performance, real-time web applications using Phoenix, LiveView, and Elixir's concurrent architecture.
Generates and edits high-quality images, infographics, and text-based visuals directly within Claude Code using fal.ai.
Empowers Claude with structured, iterative reasoning to solve complex problems through systematic thought branching and revision.
Develops rigorous system architecture models using C4, ArchiMate, and UML through a contract-first approach.
Generates and verifies architecture documentation using the effectHandler pattern for robust system state management.
Builds high-performance computer vision solutions including image classification, object detection, and semantic segmentation using modern deep learning frameworks.
Architects high-performance full-stack applications using Next.js, Turborepo, and RemixIcon with optimized build pipelines and professional UI patterns.
Implements Clean Architecture and SOLID principles in Python projects through layered design and rigorous testing strategies.
Analyzes codebases to determine the blast radius of changes and map complex dependencies using DevAC's analytics layer.
Transforms Markdown files into a calm, book-like reading experience via a local background HTTP server.
Analyzes codebase architecture and symbol hierarchies using a high-performance analytics layer to navigate complex projects.
Implements advanced geospatial features including geofencing, spatial indexing, and real-time fleet tracking using PostGIS and PGRouting.
Analyzes textual data to extract sentiments, keywords, and core topics using advanced natural language processing techniques.
Aggregates and centralizes performance metrics from diverse applications, systems, and cloud services into a unified monitoring view.
Build highly customizable node-based editors and interactive flow visualizations using Svelte Flow and Svelte 5.
Implements secure OAuth 2.0 flows, token rotation, and request verification for Go-based Slack applications.
Manages the end-to-end deployment lifecycle including quality gate enforcement, multi-stage pipeline execution, and automated rollback protocols.
Maintains a persistent, read-only wiki that provides high-level situational awareness to AI agents while reducing token consumption by up to 95%.
Tracks and documents AI agent decisions with full transparency into rationale, alternatives, and project impact.
Enables advanced creation, editing, and redlining of Microsoft Word documents with support for tracked changes and XML-level manipulation.
Manages the installation, updates, and removal of specialized plugins and skills within the AI Dev Team environment.
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