Agent skill

Streaming Inference Setup

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

Configure streaming inference setup operations. An agent skill from jeremylongshore/tons-of-skills-marketplace.

MITAuto-check passedDevOps & Cloud

Install Streaming Inference Setup

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill streaming-inference-setup -a claude-code

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace streaming-inference-setup --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/08-ml-deployment/streaming-inference-setup .claude/skills/streaming-inference-setup && 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
streaming-inference-setup
GitHub stars
2.8k
Token cost
~580 tokens
SKILL.md length
196 words
Files
1
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Configure streaming inference setup operations. An agent skill from jeremylongshore/tons-of-skills-marketplace.

  • Works in 4 steps: Provides step-by-step guidance for… → Follows industry best practices and… → Generates production-ready code and… → …
  • : streaming inference setup
  • SKILL.md covers Overview, When to Use, Instructions and Examples, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Streaming Inference Setup is an agent skill from jeremylongshore/tons-of-skills-marketplace. Configure streaming inference setup operations. Auto-activating skill for ML Deployment. Triggers on: streaming inference setup, streaming inference setup Part of the ML Deployment skill category. Use when working with streaming inference setup functionality. Trigger with phrases like "streaming inference setup", "streaming setup", "streaming".

Its SKILL.md is about 580 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Designed for Claude Code

It sits in DevOps & Cloud, covering Deployment. 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

  • : streaming inference setup
  • Streaming inference setup Part of the ML Deployment skill category
  • Working with streaming inference setup functionality
  • With phrases like streaming inference setup

Example prompts

  • “streaming inference setup”
  • “streaming setup”
  • “streaming”
  • “/streaming-inference-setup”

Requirements

  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Write, Edit, Bash(cmd:*), Grep

Workflow steps

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

  1. Provides step-by-step guidance for streaming inference setup
  2. Follows industry best practices and patterns
  3. Generates production-ready code and configurations
  4. Validates outputs against common standards

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
    • Write
    • Edit
    • Bash(cmd:*)
    • Grep

    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

    From compatibility in the SKILL.md frontmatter.

Context cost

Streaming Inference Setup loads about 580 tokens when it runs. Until then it costs about 93 tokens; SKILL.md has 196 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~93
When it runs · the whole SKILL.md, loaded when a task matches
~580

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). 196 words, ~580 tokens.

Download SKILL.mdSave it as .claude/skills/streaming-inference-setup/SKILL.md (or your agent's skills folder).
name
streaming-inference-setup
description
Configure streaming inference setup operations. Auto-activating skill for ML Deployment. Triggers on: streaming inference setup, streaming inference setup Part of the ML Deployment skill category. Use when working with streaming inference setup functionality. Trigger with phrases like "streaming inference setup", "streaming setup", "streaming".
allowed-tools
Read, Write, Edit, Bash(cmd:*), Grep
compatibility
Designed for Claude Code
version
1.0.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
ai, mlops

Streaming Inference Setup

Overview

This skill provides automated assistance for streaming inference setup tasks within the ML Deployment domain.

When to Use

This skill activates automatically when you:

  • Mention "streaming inference setup" in your request
  • Ask about streaming inference setup patterns or best practices
  • Need help with machine learning deployment skills covering model serving, mlops pipelines, monitoring, and production optimization.

Instructions

  1. Provides step-by-step guidance for streaming inference setup
  2. Follows industry best practices and patterns
  3. Generates production-ready code and configurations
  4. Validates outputs against common standards

Examples

Example: Basic Usage Request: "Help me with streaming inference setup" Result: Provides step-by-step guidance and generates appropriate configurations

Prerequisites

  • Relevant development environment configured
  • Access to necessary tools and services
  • Basic understanding of ml deployment concepts

Output

  • Generated configurations and code
  • Best practice recommendations
  • Validation results

Error Handling

ErrorCauseSolution
Configuration invalidMissing required fieldsCheck documentation for required parameters
Tool not foundDependency not installedInstall required tools per prerequisites
Permission deniedInsufficient accessVerify credentials and permissions

Resources

  • Official documentation for related tools
  • Best practices guides
  • Community examples and tutorials

Part of the ML Deployment skill category. Tags: mlops, serving, inference, monitoring, production

© 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

Just SKILL.md in skills/08-ml-deployment/streaming-inference-setup of jeremylongshore/tons-of-skills-marketplace.

Open the folder on GitHubat commit cfae287

Compare with similar skills

Streaming Inference Setup 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.

Streaming Inference Setup compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Streaming Inference Setup this skilljeremylongshore/tons-of-skills-marketplace2.8k—~580Automated safety check: PassMIT
Kubeshark Installerkubeshark/kubeshark12k—~3.6kAutomated safety check: NotesApache-2.0
GreptimeDB Dev Docker ImageGreptimeTeam/greptimedb6.7k—~4kAutomated safety check: NotesApache-2.0
KubeSphere ServiceMesh Managerkubesphere/kubesphere17k—~2.4kAutomated safety check: PassCustom licence
Vercelremotion-dev/remotion63k—~1.2kAutomated safety check: PassCustom licence
AWS Cdk Developmentzxkane/aws-skills3672 repos~2.5kAutomated safety check: PassMIT

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Categories

Questions about Streaming Inference Setup

What does Streaming Inference Setup do?

Configure streaming inference setup operations. An agent skill from jeremylongshore/tons-of-skills-marketplace. Streaming Inference Setup is an agent skill from jeremylongshore/tons-of-skills-marketplace. Configure streaming inference setup operations.

When should I use Streaming Inference Setup?

Streaming Inference Setup fits situations like: : streaming inference setup; streaming inference setup Part of the ML Deployment skill category; working with streaming inference setup functionality; with phrases like streaming inference setup.

How do I install Streaming Inference Setup in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill streaming-inference-setup -a claude-code`. Or copy the skill folder (skills/08-ml-deployment/streaming-inference-setup in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/streaming-inference-setup in your project. Claude Code loads it when a task matches its description.

How do I install Streaming Inference Setup in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill streaming-inference-setup -a codex`. Or copy the skill folder (skills/08-ml-deployment/streaming-inference-setup in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/streaming-inference-setup in your project. Codex loads it when a task matches its description.

Can I use Streaming Inference Setup 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 streaming-inference-setup -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/streaming-inference-setup, .gemini/skills/streaming-inference-setup, .github/skills/streaming-inference-setup and .opencode/skills/streaming-inference-setup in your project.

What does Streaming Inference Setup need to run?

SKILL.md names no scripts, command-line tools or credentials: Streaming Inference Setup is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash(cmd:*), Grep. Compatibility (from SKILL.md): Designed for Claude Code.

Does Streaming Inference Setup 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 Streaming Inference Setup 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 Streaming Inference Setup use?

Streaming Inference Setup 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 Streaming Inference Setup use?

About 580 tokens (SKILL.md is roughly 2.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Streaming Inference Setup?

Skills that share tags, products or a category with Streaming Inference Setup: Kubeshark Installer (kubeshark/kubeshark, 12k stars), GreptimeDB Dev Docker Image (GreptimeTeam/greptimedb, 6.7k stars), KubeSphere ServiceMesh Manager (kubesphere/kubesphere, 17k stars) and Vercel (remotion-dev/remotion, 63k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Streaming Inference Setup?

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.