ai-llm-inference
LLM inference patterns for latency, batching, caching, quantization, routing, and serving stacks.
Sorting a stream of records into a picture
What it does
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 when optimizing throughput, tail latency, or serving cost
You don’t need to name it. Ask for the job in your own words — your AI loads the skill when the request matches.
What it can touch
Includes 1 script
Your AI can run these when the skill is used — on your computer in a coding tool (which asks first unless you have told it not to), or in the AI’s own sandbox in Claude and ChatGPT.
How we know
Found in the skill’s folder: scripts/latency_benchmark.py.
Its code sends data over the internet
A script in it uploads or posts data. That is normal for a skill that talks to a service — check that the address is the service you expect.
How we know
references/profiling-and-capacity-planning.md line 144: “async with session.post(url, json=payload) as response:”. Read 2026-10-05, commit 8dc5de4.
references/profiling-and-capacity-planning.md, line 144 ↗No known risk pattern found
Launch7’s automated check read all 42 text files in this skill and matched none of its risk patterns. This is not a guarantee: a check like this can miss new or disguised tricks, and the author can change the files after the check.
How we know
Read 2026-10-05, commit 8dc5de4 by pipeline/trust/analyze.py — 40+ patterns for hidden text, prompt injection, downloads that run, credential access and more. It reads; it never runs the skill.
Recently maintained
Its repository has had changes recently.
How we know
Last push to vasilyu1983/AI-Agents-public: 2026-09-23 (12 days before the scan).
Read automatically from the skill’s own files on GitHub on 5 Oct 2026. Launch7 does not run or manually review skills: this lists what the check saw, and nothing here means “safe”. How we check
Add it to your AI
Partly. Upload it in Claude’s settings — the instructions work; the scripts need the full folder.
Built in your browser from the SKILL.md on GitHub — nothing passes through Launch7.
In Claude, open Customize → Skills, press +, then Create skill → Upload a skill, and choose the .zip.
Make sure code execution is switched on (Settings → Capabilities). Skills need it.
Start a new chat and ask for the job in your own words — Claude picks the skill up when it fits.
This skill ships 1 script beside its instructions. The download here is the SKILL.md alone — enough for the instructions, not for the parts that run code. Use the command route, or take the full folder from the repository.
How Claude does this: support.claude.com · checked 28 Sep 2026 · “Supported” means documented by the vendor; Launch7 has not run it end to end
More from vasilyu1983
All from this publisher →- agents-skills
Creates and audits agent skills with SKILL.md, references, scripts, and platform-scoped metadata.
- ai-agents
AI agent architecture, graph and loop composition, protocol choice, evaluation, and observability.
- ai-coding-agents
Creates coding agents on Claude Code, Codex, and Agent SDK.
- ai-ml-timeseries
Time-series forecasting with temporal validation, panel models, probabilistic forecasts, and TS foundation models.
- ai-mlops
Operates production MLOps for ML, LLM, and agent systems.