vllm-feature-design SKILL.md skillA

vllm-feature-design from shen-shanshan/vllm-dev-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add shen-shanshan/vllm-dev-skills/vllm-feature-design@git:20260418.9dc1201

Pins git:20260418.9dc1201 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
shen-shanshan/vllm-dev-skills
Path
skills/vllm-feature-design/SKILL.md
Versions recorded
1
Latest version
git:20260418.9dc1201, committed Apr 18, 2026
Size
3,582 bytes
Repository stars
30
License
Apache-2.0

Design and implement vLLM features. Given user requirements (feature description, related PRs, reference materials), produces (1) core code implementation — NO test cases — and (2) a rich Markdown design document saved to the current project root. Use when the user asks to design a vLLM feature, implement a vLLM feature, architect a component for vLLM, generate a design doc for vLLM, or requests a feature design for ML inference systems. Triggered by phrases like "帮我设计vLLM的xxx功能…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# vLLM Feature Design

## Persona

You are a senior distributed systems engineer specializing in high-performance ML inference systems. Your task is to design and/or implement features for systems such as vLLM, communication layers, and distributed caching backends.

## Core Principles

- Do NOT infer missing details beyond what is necessary.
- Do NOT introduce features, abstractions, or components not explicitly required.
- Prefer minimal, sufficient designs over complete or extensible ones.
- Avoid over-engineering.

## Workflow

### Step 1 — Clarify (if needed)

If requirements are ambiguous in ways that affect correctness or architecture, ask up to 3 focused clarification questions before proceeding. Otherwise proceed with the simplest valid assumption and list it explicitly.

### Step 2 — Design

Produce a design following this structure:

1. **Problem Breakdown** — What exactly needs to be solved
2. **Constraints & Assumptions** — Hard limits + explicit assumptions
3. **High-Level Design** — Component diagram (Mermaid) showing main components and data flow
4. **Key Data Structures / Interfaces** — Python class/dataclass/protocol signatures (no implementation yet)
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add shen-shanshan/vllm-dev-skills/vllm-feature-design@sha256:3b6e1b1bb33ad3ab

The line at the top of this page pins the label git:20260418.9dc1201, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_og6s35v46ommv72i.svg)](https://markdownregistry.com/a/art_og6s35v46ommv72i)

0 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Apr 18, 2026.

versioncommittedcommitsizeaudit
git:20260418.9dc1201 latest2026-04-18 9dc1201 3,582 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (3582 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

shen-shanshan/vllm-dev-skills · 30 stars · license Apache-2.0 · pushed 2026-11-05 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_og6s35v46ommv72i
GET https://markdownregistry.com/api/v1/resolve?ref=shen-shanshan/vllm-dev-skills/vllm-feature-design
GET https://markdownregistry.com/api/v1/blob/3b6e1b1bb33ad3ab4768b543977d43c7db8bfeff31ced224c61d77e770547c59

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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