mistral-performance-tuning

Installation
SKILL.md

Mistral Performance Tuning

Overview

Optimize the measured bottleneck rather than changing models or caching content by instinct. Separate queue, connection, first-event, generation, tool, and application time.

Prerequisites

  • A representative synthetic benchmark and explicit quality/safety acceptance.
  • Content-free latency, token, queue, retry, and error instrumentation.
  • Current workspace limits plus fixed model and request parameters.

Current Contract

Chat, streaming, embeddings, batch, FIM, OCR, and audio differ in latency and batching. Compare only compatible operations and current account access.

Authentication

Metrics may include timing, counts, endpoint class, and opaque model ID, but never prompts, outputs, files, credentials, or headers.

Installs
31
GitHub Stars
2.8K
First Seen
Jan 27, 2026
mistral-performance-tuning — jeremylongshore/tons-of-skills-marketplace