Agent Skills Hub

documenting-rust-code

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

mintlify

Maintain Mintlify documentation sites: configure navigation, manage MDX content, add components, and handle API references.

pytorch-lightning

PyTorch Lightning skill for scalable deep learning: automates model training, multi-GPU orchestration, data pipelines, and distributed training strategies like DDP, FSDP, and DeepSpeed.

nia

Research agent for Nia: index/search remote codebases, docs, and packages. Optimizes AI context by prioritizing full source indexing over web fetches to reduce hallucinations.

summon

Summon framework expert: assisting with Kotlin Multiplatform UI development, type-safe modifiers, state management, routing, and SSR for web and JVM applications.

github-gh

Interact with GitHub via the gh CLI to manage issues, pull requests, workflow runs, and execute advanced API queries programmatically.

managing-git-workflow

Standardizes HASH development workflows, including branch naming, Linear issue linking, PR templates, and review procedures.

mcp-development

Guidance for Model Context Protocol (MCP) server development, including tool design, resource handling, and AI/ML integration patterns.

reviewing-code

Perform rigorous code reviews for FastMCP projects, focusing on API design, dependency management, and codebase consistency.

autonomous-skill

Enable long-running, multi-session autonomous development tasks with state tracking, resumable execution, and dual-agent planning-execution workflows.

cascade-orchestrator

Advanced workflow orchestration for AI agents, featuring multi-model routing, Codex sandbox iteration, parallel swarm execution, and persistent memory across complex pipelines.

competitive-analysis

Framework for building professional competitive landscape decks, including market positioning, peer benchmarking, and strategic synthesis for finance professionals.