Audit README.md and docs/ for accuracy. Runs every documented code example, checks links, anchors, and prose rules, and verifies the CLI examples against the built gem. Use when documentation changes, before a release, or when the user asks to check the docs, verify code samples, or confirm the examples still work.
Analyze PerforatedAI training results and provide optimization recommendations. Trigger: 'Analyze my perforated results' (after training completes). Reviews CSV outputs, identifies performance patterns, recommends configuration improvements. For initial setup or debugging, use the perforatedai skill instead.
Multi-GPU setup for PerforatedAI with DataParallel or DistributedDataParallel (DDP). Invoked automatically by the perforatedai skill when multi-GPU training is detected. Handles initialization workflow, checkpoint loading, rank 0 handling, and shell script generation for DDP.
Expert in PerforatedAI library for adding artificial dendrites to PyTorch neural networks. Triggers: 'Perforate my model' (start interactive setup), 'debug my perforated model' (debug/optimize existing integration), 'load my perforated model for inference' (deploy trained models). Also use when: debugging dendrite…
Generate Excalidraw .excalidraw.md source files for DSWoK vault diagrams (charts, pipelines, conceptual sketches). Use ONLY when the user explicitly asks for an Excalidraw diagram or when the diagram-tooling order in .claude/writingstyleguide.md selects Excalidraw (non-flowchart visuals where Mermaid is the wrong…
Extract patterns and learnings from the current session. Use when asked to learn from this session, capture session learnings, or review what was accomplished. Outputs structured findings for use with /llm-rules-updater.
Detect and roast AI code slop - redundant, unreadable, or unnecessarily complex code patterns. Focuses on stupid comments, sloppy tests, over-abstraction, and repetitive code that makes codebases painful to maintain.