Agent Skills Hub

User Story Writing

Create well-structured user stories with clear acceptance criteria using the standard As a/I want/So that framework for agile team alignment.

library

Private skill distribution system for managing agentics across devices and teams. Install, sync, add, and update your agents, skills, and prompts via a central library catalog.

opper-api

Direct access to the Opper REST API for LLM orchestration, model management, task execution, and seamless migration from OpenAI, Anthropic, or OpenRouter.

yq

Extract specific fields from YAML files efficiently without reading entire files, saving 80-95% of context window usage.

Linear Todo Sync

Fetches assigned Linear tasks via GraphQL and generates a project-specific markdown todo list. Helps users track work items, sync priorities, and plan daily development tasks.

user-research

User research and insight synthesis for product teams. Plan studies, analyze interviews and usability tests, and generate evidence-based, prioritized design recommendations.

auth-patterns

Implement secure backend authentication (JWT, OAuth, Sessions) and authorization (RBAC, ABAC) patterns, including password hashing, MFA, and security best practices.

persona

An AI-driven framework for crafting bespoke, authentic portfolio websites from scratch. Guides agents through research, design, and code implementation to build unique developer and professional sites.

issue-triage-report

Generate triage reports and analyze feature area health for the Windows App SDK repository. Identify high-priority issues, triage backlogs, and team focus areas.

hf-mcp

Connect your AI agent to the Hugging Face Hub via MCP. Search models, datasets, and papers, manage repos, run cloud compute jobs, and invoke Gradio Spaces as functional AI tools.

ruzzy

Coverage-guided fuzzer for Ruby code and C extensions, powered by libFuzzer and address sanitizers to detect memory corruption and undefined behavior.

papi

Manage, search, and extract technical insights from a local paper database. Ideal for developers implementing academic research, verifying code against math, and grounding coding agents in scientific papers.