ai-llm-inference SKILL.md skillA
ai-llm-inference from vasilyu1983/ai-agents-public is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add vasilyu1983/ai-agents-public/ai-llm-inference@v1.4Pins v1.4 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- vasilyu1983/ai-agents-public
- Path
skills/universal/ai-llm-inference/SKILL.md- Versions recorded
- 1
- Latest version
- v1.4, committed Oct 5, 2026
- Size
- 24,942 bytes
- Repository stars
- 101
- License
- MIT
LLM serving for latency, batching, caching, quantization, and routing. Use when tuning vLLM or SGLang, sizing KV cache, adding speculative decoding, or cutting serving cost.
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
# LLM Inference Production Skill Hub Operational guidance for choosing and tuning modern inference stacks. Focus on runtime fit, routing, output guarantees, adapter loading, multimodal serving, and measured performance under load. Use current primary sources for volatile facts such as versions, hardware support, benchmarks, pricing, and release status. ## When to Use This Skill Use this skill when the user asks for: - inference engine selection or stack comparison - latency, TTFT, ITL, or throughput optimization - cache-aware routing or control-plane design - quantization strategy by runtime and hardware - multi-GPU or multi-node serving - structured outputs or constrained decoding at serve time - multimodal or encoder-decoder serving patterns - LoRA or multi-adapter serving - cost reduction for self-hosted or API inference - benchmarking, profiling, or capacity planning - multi-user llama.cpp server serving, or on-device NPU (per-tensor scales, static shapes); single-box CPU/edge/desktop runs belong to [ai-local-model-ops](../ai-local-model-ops/SKILL.md) ## Scope Boundaries - Prompting -> [ai-prompt-engineering](../ai-prompt-engineering/SKILL.md) …
Read the whole file at its exact version.
How to install
mdr add vasilyu1983/ai-agents-public/ai-llm-inference@sha256:171fd1b5abc814acThe line at the top of this page pins the label v1.4, 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_hng5bkrd4aypatti)
6 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Oct 5, 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 (24942 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
vasilyu1983/ai-agents-public · 101 stars · license MIT · pushed 2026-10-16 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_hng5bkrd4aypatti GET https://markdownregistry.com/api/v1/resolve?ref=vasilyu1983/ai-agents-public/ai-llm-inference GET https://markdownregistry.com/api/v1/blob/171fd1b5abc814ac769e1934f3579b3a6ae77d1c2ac04728af49af53e944c4d7
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.