Agent skills for Devin Desktop

Serverless GPU cloud platform for running ML workloads.

Automatically discover Modal platform skills when working with Modal.

Choose an ML model or provider when a user asks which checkpoint, router, local model, adapter, tokenizer, or inference backend fits a…

Use before repeatedly placing GLB models in PlayCanvas Engine, React, or Web Components to measure each asset once and record its uniform…

Use when building the formal model for a Marketing Science manuscript — turning a marketing phenomenon into an analytical (game-theoretic)…

Merge multiple fine-tuned models using mergekit to combine capabilities without retraining.

Resolve model profile (quality/balanced/budget) at orchestration start and map agents to specific models.

Reduce LLM size and accelerate inference using pruning techniques like Wanda and SparseGPT.

Recommends where work runs and which tier and supported effort it needs, using ~/.claude/model-profiles.md.

Use when formulating the model and stating results for an Operations Research (OR) manuscript — defining the…

Pick the executor and effort for a unit of work — which Claude tier (Fable 5 / Opus 5 / Sonnet 5 / Haiku 4.5), what effort level, or…

Refresh a user- or project-owned point-in-time guide for model prompting, benchmark-aware routing, execution lanes, and pricing when the…

When to activate: model serving, inference, FastAPI ML, BentoML, Triton, vLLM, model deployment, online inference, batching

Vet the concrete third-party model a study will be built on — this repository, this revision, this checkpoint — not the architecture family.

Use when building the model or mechanism for a Production and Operations Management (POM) manuscript — formalizing assumptions, deriving…

Update financial models with new data — quarterly earnings, management guidance, macro changes, or revised assumptions.

Summarize CodexBar local cost logs by model for Codex or Claude, including current or full breakdowns.

Use sd-scripts model and network utilities safely: LoRA

ModelWar - Core War for Agents

Use when a topic benefits from multiple perspectives debating before a decision.

Guidelines and workflows for community moderation, trust & safety, and