Agent Skills Hub

ring:testing-skills-with-subagents

A meta-skill for building robust AI agent skills using a TDD approach: define failure (RED), implement the skill (GREEN), and plug rationalization loopholes (REFACTOR).

youtube_moderation_prototype

A prototype skill for automating YouTube live chat moderation using pattern-based detection for spam, toxic content, and rate limiting, optimized for testing agent reliability before deployment.

crafting-readme-files

Generate high-converting, professional README.md files for open source projects and CLI tools using a value-driven, scannable framework.

analyze-project

Analyze project codebases to generate architecture documentation, coding standards, and development practices for AI onboarding.

semgrep-rule-variant-creator

Port Semgrep rules to new languages using a strict, test-driven methodology. Includes applicability analysis, AST-based translation, and automated validation for each target language.

figma-design-to-code

Convert Figma designs to project-consistent UI code using TemPad Dev MCP for precise markup, styling, and token integration.

documenting-rust-code

Standardized Rust documentation practices for the HASH codebase, ensuring consistency in doc comments, intra-doc links, and error handling.

long-running-agent

Framework for building AI agents that persist state across multiple context windows, enabling them to complete complex, multi-day coding tasks without losing progress or context.

template-skill

A flexible template for developing and integrating custom AI agent skills within the Mini-Agent framework.

cowork-router

Dynamic meta-router for managing and orchestrating multi-domain AI coding agent skills across plugins and projects.

libragent-quality

Comprehensive code quality validation for LibrAgent, covering TypeScript frontend and Rust/Tauri backend via automated linting, formatting, type checking, and build verification.

data-engineer

Specialized data engineering agent for designing ETL/ELT pipelines, defining data schemas, managing data quality, and implementing robust ingestion workflows.