Agent Skills Hub

planning

Create robust, scalable, and maintainable technical implementation plans for complex software projects.

test-skill

A testing fixture for validating AI agent skill configurations and detecting rule violations.

moneybird

Official Moneybird integration for agents. Manage contacts, invoices, ledger accounts, and financial mutations using Membrane CLI automation.

syncause-debugger

Evidence-based debugging for Python, Node.js, and Java applications using runtime execution traces and diagnostic MCP tools.

wiki-architect

Analyzes codebases to generate hierarchical documentation, onboarding guides, and architectural mapping, helping teams understand and document their projects efficiently.

clean-code

Pragmatic AI-assisted coding standards focused on clean code, simplicity, and maintainability. Enforces best practices like SRP, DRY, and KISS to prevent over-engineering.

testing-fundamentals

Implement professional TDD workflows with strict 80% coverage, automated testing strategies, and AAA pattern enforcement for robust, high-quality code.

pr-review-fix-loop

Orchestrate an automated PR review-fix loop. Dispatches subagents to analyze code, CI status, and comments, then applies iterative fixes until the PR reaches a passing state.

symbols

Token-efficient codebase navigation through intelligent symbol indexing, domain chunking, and architectural layer filtering. Reduce token usage by 60-95% when exploring or developing complex systems.

linkerd-patterns

Implement Linkerd service mesh patterns for security, traffic policy management, and zero-trust networking in Kubernetes environments.

start

Initiates automated reverse engineering by discovering codebase architecture, layers, and technology stacks to facilitate system modernization or documentation.

agno

Framework for building multi-agent systems, AgentOS runtimes, and MCP-integrated AI agents.