vllm-feature-tutorial SKILL.md skillA
vllm-feature-tutorial from shen-shanshan/vllm-dev-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add shen-shanshan/vllm-dev-skills/vllm-feature-tutorial@git:20260402.66ef61bPins git:20260402.66ef61b 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-tutorial/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260402.66ef61b, committed Apr 2, 2026
- Size
- 4,879 bytes
- Repository stars
- 30
- License
- Apache-2.0
Generate comprehensive Chinese technical tutorial documents for vLLM features and modules. Produces deep-dive code walkthrough documents with Mermaid architecture/flow diagrams, comparison tables, code snippets, and performance analysis. Output is saved as Markdown to the skill's outputs/ directory. TRIGGER when: user asks to learn about a vLLM feature, module, or subsystem (e.g., "我想了解 vllm 中的 xxx", "帮我生成 vllm xxx 的教程", "generate a tutorial for vllm's xxx feature", "vllm xxx 特性分析"). DO NOT…
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 Tutorial Generator Generate a comprehensive code walkthrough tutorial document for a given vLLM feature or module. ## Workflow ### Step 1: Identify the Feature Extract the feature/module name from the user's request. Examples: - "spec decode" / "speculative decoding" - "chunked prefill" - "automatic prefix caching" - "tensor parallelism" - "KV cache management" - "continuous batching" - "LoRA" - "multimodal" ### Step 2: Research the Feature Gather information from multiple sources. This is the most important step — thorough research determines document quality. **2a. vLLM Official Documentation** - Fetch relevant pages from `https://docs.vllm.ai/en/latest/` using WebFetch - Look for design docs, API references, usage guides **2b. vLLM Source Code** - Use `gh api` or WebFetch to browse the vLLM GitHub repo (`vllm-project/vllm`) - Identify core source files for the feature (use GitHub code search or browse directory structure) - Read key implementation files to understand: - Core classes and their responsibilities - Key interfaces and method signatures - Data flow and control flow - Important algorithms and data structures **2c. Related Resources** …
Read the whole file at its exact version.
How to install
mdr add shen-shanshan/vllm-dev-skills/vllm-feature-tutorial@sha256:0d6d6a38fb58ec9cThe line at the top of this page pins the label git:20260402.66ef61b, 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.
[](https://markdownregistry.com/a/art_3o43mnnm47wg7cb7)
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Versions
The registry has recorded 1 version of this file, committed on Apr 2, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (4879 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
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_3o43mnnm47wg7cb7 GET https://markdownregistry.com/api/v1/resolve?ref=shen-shanshan/vllm-dev-skills/vllm-feature-tutorial GET https://markdownregistry.com/api/v1/blob/0d6d6a38fb58ec9ce33a8f351ff964a81ee44a899c3d1c9c1b8b7cfde635e801
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.