Agent Skills Hub

Agent Communication Debugger

Diagnose and debug Agent-to-Agent (A2A) communication, including orchestrator routing, transport connectivity, agent status, and log analysis for multi-agent systems.

create-unit-test

Create and run unit tests for AnySoftKeyboard following project architecture guidelines (Robolectric, naming, location).

linkedin-post

Draft and optimize LinkedIn posts for 0 Finance using performance-backed hooks, professional storytelling, and strict regulatory compliance guidelines.

navi

Navi programming language expert. Use for writing Navi code, debugging, implementing concurrency, handling error states, and managing Navi's type system or module integrations.

recruiter

Act as a skeptical technical recruiter to evaluate daily.dev Recruiter features. Review UI/UX, code, and workflows through the lens of a hiring platform built for high-quality developer-recruiter matching.

lsp

Implementation and maintenance guide for the atopile Language Server (LSP), providing IDE features like autocomplete and diagnostics for electronics design.

testing-strategies

Implement robust software testing strategies, including unit, integration, and E2E tests, mocking frameworks, TDD patterns, and best practices for high-quality, reliable code across any stack.

claude

Anthropic Claude AI models for high-performance coding, large-context analysis, and GUI interaction.

find-skills-combo

Discover and recommend combinations of agent skills to complete complex, multi-faceted tasks using Maximum Quality or Minimum Dependencies strategies.

familiar-add-tool

Scaffold and register new sensor, actuator, or service tools for familiar-ai, automating file creation and boilerplate integration in agent.py and config.py.

unity-mcp-orchestrator

Orchestrate Unity Editor via MCP tools. Enables AI to create GameObjects, edit scripts, manage scenes, and automate testing within Unity projects.

markdown-token-optimizer

Analyzes markdown files to identify token-wasting patterns, providing actionable suggestions to optimize documentation for LLM consumption and token efficiency.