vllm-dev-task-discovery SKILL.md skillA

vllm-dev-task-discovery 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-dev-task-discovery@git:20260611.d1bfa86

Pins git:20260611.d1bfa86 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-dev-task-discovery/SKILL.md
Versions recorded
1
Latest version
git:20260611.d1bfa86, committed Jun 11, 2026
Size
11,801 bytes
Repository stars
30
License
Apache-2.0

Analyze contribution opportunities in the vllm-project/vllm repository for community developers. Given a module, feature, or model area, this skill collects information from open issues, recent PRs, GitHub discussions, code TODOs/FIXMEs, roadmap labels, and maintainer activity to generate a structured Markdown report of actionable tasks (feature development, model support, performance optimization, bug fixes, documentation, refactoring). Each task includes difficulty, prerequisite knowledge…

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 社区开发需求观察分析

## 概述

本 skill 帮助社区开发者在 vllm-project/vllm 仓库中找到可贡献的 task/idea。通过系统性搜集多渠道信息(Issue、PR、Discussion、代码 TODO、Roadmap、文档),生成按类型归类的结构化需求清单报告。

## 工作流

```
用户指定目标模块/特性/模型  →  多源数据搜集  →  需求提炼与分类  →  评估与标注  →  生成报告
```

### 第一步:明确目标范围

从用户输入中提取关键信息:

- **目标模块/特性/模型**:例如 "多模态"、"Prefix Caching"、"Qwen3-VL"、"Scheduler"、"V1 Engine"
- **Top N**:用户可指定生成 top N 个 task,默认 20~100(建议默认 30)
- **任务类型偏好**(可选):特性开发 / 模型支持 / 性能优化 / Bugfix / 文档补充 / 代码重构

如果用户描述模糊,用简短问题确认范围(例如"你指的是多模态中的视觉编码器 ViT 部分,还是整个多模态 pipeline?")。

### 第二步:多源数据搜集

**必须**从以下所有渠道平行搜集信息。每个渠道的搜索关键词应基于用户指定的目标模块确定。

#### 2.1 Open Issues(未关闭的 Issue)

```bash
# 搜索开放 issue(最近更新的优先)
gh search issues --repo vllm-project/vllm --state open --limit 50 --sort updated --match title,body "<关键词1>" "<关键词2>"

# 按 label 筛选
gh issue list --repo vllm-project/vllm --state open --limit 50 --label "<相关label>" --sort updated

# 获取 issue 详情(含评论区)
gh issue view --repo vllm-project/vllm <issue-number> --comments
```

关注以下信号:
- label 为 `good first issue` / `good second issue` / `help wanted` 的 issue
- 评论区中有 maintainer 明确指出的待做事项
- 近 30 天内活跃的 issue
- 带有 `roadmap` / `feature request` / `bug` label 的 issue

#### 2.2 近期合并的 PR

```bash
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add shen-shanshan/vllm-dev-skills/vllm-dev-task-discovery@sha256:eb9e9346625511a6

The line at the top of this page pins the label git:20260611.d1bfa86, 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_3lgjcjc43hv5u56y.svg)](https://markdownregistry.com/a/art_3lgjcjc43hv5u56y)

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

Versions

The registry has recorded 1 version of this file, committed on Jun 11, 2026.

versioncommittedcommitsizeaudit
git:20260611.d1bfa86 latest2026-06-11 d1bfa86 11,801 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 (11801 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_3lgjcjc43hv5u56y
GET https://markdownregistry.com/api/v1/resolve?ref=shen-shanshan/vllm-dev-skills/vllm-dev-task-discovery
GET https://markdownregistry.com/api/v1/blob/eb9e9346625511a6e616c6d06fb22c66a3210f1e613a05616451445c3d3fa3c2

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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