Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Export, validate, and publish model sample-result images into docs/source/images and reference them from README/docs pages. Use when model sample images are missing, outdated, or suspected to be invalid.
Reviews anomalib contributor workflow, PR title, branch naming, and quality gate expectations
Enforces Google-style Python docstrings for Python code
Reviews anomalib Python style, typing, imports, and public API conventions
Review/generate third-party code attribution, licensing, and notice requirements
Take screenshots and interact with the rendered Jekyll website
Worktrunk-specific guidance for tend CI workflows. Adds codecov polling, Rust test commands, labels, and review criteria on top of the generic tend-* skills. Use when operating in CI.
Multi-agent workflows — Review Cycle, Discussion, and Research Review Round. Read the Briefing subagents rule before delegating to any subagent; read a mode in full only when the user asks for it by name.
Use when testing preview functionality, verifying live reload, or validating preview fixes. Covers starting preview with port/logging, browser verification via /agent-browser, and checking logs/filesystem for artifacts.
Help users work with the Mooncake Python APIs for distributed storage and high-performance data transfer. Use when working with Mooncake Store (distributed KV cache), Transfer Engine (RDMA/TCP transfers), service setup (master, metadata server), PyTorch tensors in the Store, zero-copy/buffer management, batch operations and replication, or Mooncake EP / Backend (Expert Parallelism). Trigger on questions about MooncakeDistributedStore, TransferEngine, put/get, put_tensor, register_buffer, ReplicateConfig, or the mooncake.store / mooncake.engine / mooncake.pg Python modules.