Devops skills

This skill helps you safely split large jj changesets into focused, auditable units, enabling precise commits, stacked PRs, and safer revision history.

This skill compresses images by auto-selecting the best tool to output WebP or PNG, reducing sizes while preserving quality.

This skill teaches safe production deployment thinking, verification, rollback, and post-deploy checks to minimize risk.

This skill helps you master Bash/Linux patterns and commands for efficient scripting, file handling, and process control on macOS and Linux.

This skill helps you write robust PowerShell scripts for Windows by enforcing ASCII-only code, proper parentheses, null checks, and safe error handling.

This skill helps you build complex AI systems with declarative LM programming, automatic prompt optimization and modular RAG pipelines for reliable outputs.

This skill helps you deploy AI models efficiently on consumer hardware using GGUF quantization for flexible 2-8 bit inference.

This skill helps you benchmark LLMs across 100+ benchmarks with containerized, scalable evaluation on local Docker, Slurm HPC, or cloud platforms.

This skill helps you implement and train LLMs with LitGPT across 20+ pretrained architectures for clean, production-ready workflows.

This skill helps you integrate PyTorch FSDP2 into training scripts with correct initialization, sharding, mixed precision, and DTensor-based checkpointing.

This skill helps you implement open-source embedding storage and semantic search for AI apps with RAG workflows using Chroma.

This skill helps you track ML experiments, visualize training, sweep hyperparameters, and manage models using Weights & Biases for streamlined MLOps.

This skill provides expert guidance for fine-tuning LLMs with Axolotl, including YAML configs, 100+ models, and multimodal support.

This skill enforces runtime safety for LLMs with configurable jailbreaking, toxicity, PII, and fact-checking rails to improve reliability.

This skill helps you fine-tune and deploy OpenPI pi0, pi0-fast, or pi0.5 models for robot policy inference across ALOHA, DROID, LIBERO.

This skill orchestrates distributed training with Ray Train to scale PyTorch, TF, and HuggingFace across clusters, boosting efficiency and fault tolerance.

This skill helps deploy high-throughput LLM serving with vLLM, enabling OpenAI-compatible endpoints, quantization, and tensor parallelism for production

This skill helps you manage production-grade vector search with Pinecone, delivering low-latency, serverless indexing and hybrid search capabilities.

This skill helps you audit and manage dependencies across projects, uncover vulnerabilities, ensure license compliance, and plan safe upgrades.

This skill helps you create and manage code-forge commands as md files with YAML frontmatter and markdown steps for automated workflows.

This skill creates GitHub issues using gh with repository templates, automatically filling fields, labels, assignees, milestones, and draft options.