Agent Skills Hub

test-skill

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

codex

Delegates coding tasks to the OpenAI Codex CLI for features, refactoring, PR reviews, and automated issue fixing within Git repositories.

explaining-code

Explains code using visual diagrams, relatable analogies, step-by-step walkthroughs, and common pitfalls.

gh-ticket

Create and update comprehensive GitHub issues with full technical context to prevent requirement loss and reduce implementation friction.

doc-coauthoring

A structured workflow for co-authoring documentation, technical specs, and proposals, guiding users through context gathering, collaborative refinement, and reader verification.

self-reviewer

Implements an autonomous, critical self-verification layer for AI agents to validate code quality, security, and requirement alignment before task completion.

crafting-effective-readmes

Streamline technical documentation by generating, updating, and refining README files. Tailors content for specific audiences including OSS contributors, internal teams, and personal projects.

remote-browser

Controls a local or remote headless browser for automated web navigation, data extraction, form interaction, and testing from sandboxed environments.

status

Monitor project progress, analyze active tracks, and identify blockers within your development workspace.

linkedin-post-generator

AI-powered LinkedIn post generator for professionals. Create engaging thought leadership, career updates, and industry-specific content using the Sloan agent.

ask-user-question

Implement interactive, step-by-step user input workflows within software agents using the AskUserQuestion tool for guided decision-making and configuration.

agentic-workflows

Build production-grade AI agents using LangGraph, Anthropic/OpenAI/vLLM, and structured outputs. Features streaming, A2A protocol, Pydantic validation, vector memory, and guardrails for resilient, multi-agent workflows.