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Agent skill

Mistral Performance Tuning

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Analyze and improve Mistral latency and throughput from measured queue, transport, streaming, retrieval, and token evidence.

MITAuto-check passedDevOps & Cloud

Install Mistral Performance Tuning

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill mistral-performance-tuning -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace mistral-performance-tuning --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/mistral-performance-tuning .claude/skills/mistral-performance-tuning && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
mistral-performance-tuning
GitHub stars
2.8k
Token cost
~877 tokens
SKILL.md length
358 words
Files
2 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Analyze and improve Mistral latency and throughput from measured queue, transport, streaming, retrieval, and token evidence.

  • Works in 6 steps: Define user SLOs and a stable workload… → Measure queue, connection, first-event,… → Identify the dominant segment and test… → …
  • Optimizing a slow integration
  • SKILL.md covers Overview, Prerequisites, Current Contract and Authentication, plus 8 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Mistral Performance Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Analyze and improve Mistral latency and throughput from measured queue, transport, streaming, retrieval, and token evidence. Use when optimizing a slow integration. Trigger with "speed up Mistral", "reduce Mistral latency", or "tune Mistral throughput".

Its SKILL.md is about 880 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/official-docs.md`). Compatibility notes: Designed for Claude Code; live or external Mistral actions require network access and explicit approval

It sits in DevOps & Cloud. It works with Mistral AI. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Optimizing a slow integration
  • With speed up Mistral
  • Reduce Mistral latency
  • Tune Mistral throughput

Example prompts

  • “speed up Mistral”
  • “reduce Mistral latency”
  • “tune Mistral throughput”
  • “/mistral-performance-tuning”

Requirements

  • Compatibility (from SKILL.md): Designed for Claude Code; live or external Mistral actions require network access and explicit approval
  • Pre-approved tools (allowed-tools): Read, Glob, Grep, Write, Edit

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Define user SLOs and a stable workload covering typical, tail, and cancellation cases.
  2. Measure queue, connection, first-event, terminal, parsing, retrieval, tool, and storage durations.
  3. Identify the dominant segment and test one reversible hypothesis at a time.
  4. Tune bounds, connection reuse, admission, streaming UX, retrieval size, or app concurrency.
  5. Compare latency, errors, tokens, quality, safety, and spend using the same workload.
  6. Canary the change, monitor regression, and retain prior configuration for rollback.

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Glob
    • Grep
    • Write
    • Edit

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Designed for Claude Code; live or external Mistral actions require network access and explicit approval

    From compatibility in the SKILL.md frontmatter.

Context cost

Mistral Performance Tuning loads about 877 tokens when it runs, and up to ~1.1k if it reads all its reference files. Until then it costs about 70 tokens; SKILL.md has 358 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~70
When it runs · the whole SKILL.md, loaded when a task matches
~877
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 358 words, ~877 tokens.

Download SKILL.mdSave it as .claude/skills/mistral-performance-tuning/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
mistral-performance-tuning
description
Analyze and improve Mistral latency and throughput from measured queue, transport, streaming, retrieval, and token evidence. Use when optimizing a slow integration. Trigger with "speed up Mistral", "reduce Mistral latency", or "tune Mistral throughput".
allowed-tools
Read, Glob, Grep, Write, Edit
compatibility
Designed for Claude Code; live or external Mistral actions require network access and explicit approval
argument-hint
<operation> <latency-slo> <load-profile>
version
1.14.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
saas, mistral, performance
model
inherit
effort
high

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.

Instructions

  1. Define user SLOs and a stable workload covering typical, tail, and cancellation cases.
  2. Measure queue, connection, first-event, terminal, parsing, retrieval, tool, and storage durations.
  3. Identify the dominant segment and test one reversible hypothesis at a time.
  4. Tune bounds, connection reuse, admission, streaming UX, retrieval size, or app concurrency.
  5. Compare latency, errors, tokens, quality, safety, and spend using the same workload.
  6. Canary the change, monitor regression, and retain prior configuration for rollback.

Tool Discipline

Use Read, Glob, and Grep to inspect code, locks, configuration, tests, and evidence. Use Write and Edit only for approved repository changes. Invocation alone does not authorize network calls, paid usage, uploads, stateful resources, admin mutations, deployments, or deletion.

Show full SKILL.md (144 more words)Show less

Approval Boundaries

Live benchmarks, model changes, caching, concurrency, endpoint changes, or relaxed gates require approval. Performance never overrides data policy.

Error Handling

  • Fast first event can hide worse terminal latency.
  • Caching user content can violate tenancy and deletion.
  • Concurrency can move latency into shared provider queues.

Output

Return workload hash, before and after segments, confidence, quality, safety and spend deltas, chosen change, canary, and rollback. State whether the SLO actually improved.

Examples

  • Reduce retrieval context only after evaluation preserves quality.
  • Reuse connections while retaining cancellation and end-to-end deadlines.

Validation

Repeat warm and cold trials, vary concurrency, test cancellation and outage, and reject any weakened correctness or isolation. Preserve the exact workload for comparison.

Resources

  • Current first-party evidence map — recheck dated sources before relying on mutable endpoints, models, limits, prices, preview status, or retention.
  • Record live account observations as environment-specific evidence, not universal Mistral guarantees.

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/.curated/mistral-performance-tuning of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • references/official-docs.md

Open the folder on GitHubat commit cfae287

Compare with similar skills

Mistral Performance Tuning next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Mistral Performance Tuning compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Mistral Performance Tuning this skilljeremylongshore/tons-of-skills-marketplace2.8k—~877Automated safety check: PassMIT
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SimpoLuciole-Studio/Misaka-Agent1711 repos~1.4kAutomated safety check: PassMIT
KubeSphere Multi-Tenant Managementkubesphere/kubesphere17k—~3.1kAutomated safety check: PassCustom licence
Mirrord Operatormetalbear-co/mirrord5.4k1 repos~4.6kAutomated safety check: PassMIT
Embeddings via 9Routerdecolua/9router31k—~604Automated safety check: PassMIT

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Works with

Categories

Questions about Mistral Performance Tuning

What does Mistral Performance Tuning do?

Analyze and improve Mistral latency and throughput from measured queue, transport, streaming, retrieval, and token evidence. Mistral Performance Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Analyze and improve Mistral latency and throughput from measured queue, transport, streaming, retrieval, and token evidence.

When should I use Mistral Performance Tuning?

Mistral Performance Tuning fits situations like: optimizing a slow integration; with speed up Mistral; reduce Mistral latency; tune Mistral throughput.

How do I install Mistral Performance Tuning in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill mistral-performance-tuning -a claude-code`. Or copy the skill folder (skills/.curated/mistral-performance-tuning in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/mistral-performance-tuning in your project. Claude Code loads it when a task matches its description.

How do I install Mistral Performance Tuning in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill mistral-performance-tuning -a codex`. Or copy the skill folder (skills/.curated/mistral-performance-tuning in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/mistral-performance-tuning in your project. Codex loads it when a task matches its description.

Can I use Mistral Performance Tuning in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill mistral-performance-tuning -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mistral-performance-tuning, .gemini/skills/mistral-performance-tuning, .github/skills/mistral-performance-tuning and .opencode/skills/mistral-performance-tuning in your project.

What does Mistral Performance Tuning need to run?

SKILL.md names no scripts, command-line tools or credentials: Mistral Performance Tuning is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Glob, Grep, Write, Edit. Compatibility (from SKILL.md): Designed for Claude Code; live or external Mistral actions require network access and explicit approval.

Does Mistral Performance Tuning access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Mistral Performance Tuning safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Mistral Performance Tuning use?

Mistral Performance Tuning is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Mistral Performance Tuning use?

About 877 tokens (SKILL.md is roughly 3.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 227 tokens, read only when the agent opens those files.

What are the alternatives to Mistral Performance Tuning?

Skills that share tags, products or a category with Mistral Performance Tuning: Vibe CI Supply Chain (mistralai/mistral-vibe, 5.1k stars), Simpo (Luciole-Studio/Misaka-Agent, 171 stars), KubeSphere Multi-Tenant Management (kubesphere/kubesphere, 17k stars) and Mirrord Operator (metalbear-co/mirrord, 5.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Mistral Performance Tuning?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.