“Model inference”

Find and rank useful goals from world, science, collective, and agent needs.

Use when reducing model size, improving inference speed, or deploying to edge devices - covers quantization, pruning, knowledge distillation, ONNX export, and…

Local LLM inference setup and optimization for agentic workflows.

Create or maintain a source-grounded kpopper knowledge model as a versioned plugin.

llama.cpp local GGUF inference + HF Hub model discovery.

AGENTS.md from cheaper-inference/OmniRoute: 448 lines covering Quick Start, Project at a Glance, Request Pipeline, Resilience Runtime State and more.

Governed GPU inference ops (vLLM + Ray Serve): latency RCA, scaling, drain, 39 tools.

Fits and diagnoses Python statistical models including OLS, GLM, discrete and mixed models, ARIMA and SARIMAX.

Animate 3D model files into 1080p videos using cloud AI animation workflows.

This skill covers causal inference methods in observational and quasi-experimental settings.

Discover verified AI inference nodes, get the best node+model per task, pre-price chains.

Bring a model up on P800 through evidence-driven failure classification and correction.

Show or switch the model for the current GrokRouter Bot.

Preview and safely restart biological-model state only when the user explicitly requests a restart; never infer destructive intent.

AGENTS.md from xorbitsai/inference: 213 lines covering Project Overview, Working Rules, Environment Setup, Formatting and Linting and more.

Revit tools over MCP stdio.

Mathematical alignment through LaTeX-only questions.

WHAT — C4 model methodology (Context, Container, Component, Code) guidance — what to draw at each level, when, and how to render C4-inspired diagrams via…

Cite file:line, command output, or a captured artifact for every claim; treat should/presumably/likely as unfinished work.

Run IV, DiD, and RDD analyses in R with proper diagnostics.

Route AI evaluation, ML training and inference engineering, and model operational readiness; use security review for authority-boundary threats.

Decide a product-specific UX brief, emotional target, visual direction, first-glance hierarchy, assumptions and layout sequence BEFORE generating a screen or…

Reviewing new-model / pipeline / checkpoint / deploy-config PRs and stage-topology issues — plumbing vs parity evidence, checkpoint layout gate, stage…

Guide installing Earth2Studio via uv or pip, selecting model extras, and configuring the environment.