prompt-engineering

Streamlines AI research workflows by providing curated Claude skills for data analysis, literature review, experiment design, and research paper generation.

Emerging-techniques category of the AI Research Engineering Skills library — 6 skills covering Mixture-of-Experts training, Model Merging (TIES/DARE/SLERP via mergekit), Long Context (RoPE/YaRN/ALiBi), Speculative Decoding, Knowledge Distillation, and Model Pruning.

AI research skill for writing publication-ready ML papers for top conferences (NeurIPS, ICML, ICLR, ACL, AAAI, COLM) with LaTeX templates and citation verification.

A collection of 7 multimodal AI research skills covering CLIP, Whisper, LLaVA, BLIP-2, SAM, Stable Diffusion, and AudioCraft — part of Orchestra Research's 83 AI research engineering skills for coding agents.

A collection of 4 AI safety and alignment research skills covering Constitutional AI, LlamaGuard safety classifier, NeMo programmable guardrails with Colang, and Meta's Prompt Guard injection detector — part of Orchestra Research's AI research engineering skills.

A tokenization skill from the AI Research Engineering Skills Library, which offers 83 skills across 20 categories covering model architecture, fine-tuning, inference, and other AI research areas.

Assists AI researchers in drafting, structuring, and generating machine learning research papers with academic writing best practices and technical precision.

MLflow experiment tracking and model management skill from Orchestra Research, part of the most comprehensive open-source AI research engineering skills library with 83 skills.

Structured ideation frameworks for discovering high-impact research directions with 10 complementary lenses (384 lines). Part of orchestra-research/ai-research-skills.

FAISS vector search skill from Orchestra Research for efficient similarity search and dense vector clustering in AI research workflows.