Explore our collection of Agent Skills to enhance your AI workflow.
Manages authentication, sandbox execution, application deployment, and credit systems within the Flow Nexus ecosystem.
Automates and coordinates Claude Code operations through intelligent pre- and post-task hooks with MCP integration and neural pattern learning.
Dispatches specialized subagents to review code implementations against requirements and plans before merging.
Evaluates implementation reliability before execution to prevent architectural errors and maximize token efficiency.
Enforces a strict test-first development workflow to ensure code reliability and eliminate technical debt.
Enforces a strict evidence-based protocol requiring empirical verification before any task is marked as complete or successful.
Generates comprehensive test coverage reports that map code execution to specific project requirements and identify critical testing gaps.
Simplifies the process of identifying and resolving Git merge and rebase conflicts through a systematic, interactive workflow.
Applies Test-Driven Development principles to documentation and skill creation to ensure bulletproof AI agent compliance.
Generates granular, TDD-focused implementation plans with exact file paths and code examples for zero-context codebase development.
Orchestrates complex multi-agent workflows by delegating tasks to specialized expert agents for multi-domain projects.
Executes multi-task implementation plans by dispatching specialized subagents for each step with integrated code reviews.
Conducts deep research across web documentation and GitHub repositories to extract modern implementation patterns and code examples.
Generates standardized, semantic commit messages by automatically analyzing your staged and unstaged git changes.
Orchestrates cloud-based AI agent swarms and event-driven workflows for complex, multi-agent automation tasks.
Bridges Claude Code CLI with the Agent SDK to automate long-running development tasks and multi-feature implementations.
Implements and trains reinforcement learning algorithms to create autonomous agents that improve through experience.
Orchestrates sophisticated multi-agent coordination using a queen-led architecture, collective memory, and robust consensus mechanisms for complex software development tasks.
Consults a panel of diverse AI models in parallel to provide multi-perspective reasoning on complex technical challenges.
Empowers developers to build, organize, and optimize custom slash commands for Claude Code workflows using Markdown and YAML configuration.
Implement robust testing strategies using pytest, mocking, and fixtures to ensure high-quality Python applications.
Integrates external services and APIs into Claude Code plugins using the Model Context Protocol to provide structured tool access.
Configures comprehensive error tracking and performance monitoring for Next.js applications using Sentry and OpenTelemetry.
Performs deep, multi-step technical investigations and complex reasoning using high-effort analysis patterns.
Train, deploy, and manage distributed neural networks across sandboxed E2B environments using multiple architectures and federated learning.
Enforces a strict Red-Green-Refactor workflow to ensure production code is always verified by failing tests first.
Manages GitLab pipelines and job logs through the glab CLI to streamline CI/CD workflows within Claude Code.
Streamlines the development, testing, and deployment of Godot 4.x games using advanced unit testing and automation frameworks.
Orchestrates the entire lifecycle of Claude Code plugins, from initial scaffolding and component bundling to validation and distribution.
Streamlines the creation, configuration, and optimization of Model Context Protocol (MCP) servers for Claude Code.
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