ecs-genai SKILL.md skillA
ecs-genai from aws-samples/sample-apex-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add aws-samples/sample-apex-skills/ecs-genai@git:20261028.e263a29Pins git:20261028.e263a29 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- aws-samples/sample-apex-skills
- Path
skills/ecs-genai/SKILL.md- Versions recorded
- 4
- Latest version
- git:20261028.e263a29, committed Oct 28, 2026
- First version recorded
- Jul 10, 2026
- Size
- 19,899 bytes
- Repository stars
- 95
- License
- MIT-0
Use whenever someone runs a GPU / ML / GenAI / LLM workload on Amazon ECS: GPU on ECS, ECS GPU-optimized AMI, g4dn/g5/g6/p4/p5 on ECS, which ECS launch type for GPU, Inferentia/Trainium/Neuron on ECS, distributed training, model inference or vLLM/Triton/TGI/Ray on ECS, Capacity Blocks, GPU sharing, ASG per GPU type. Covers GPU on ECS-on-EC2 and ECS Managed Instances (GPU AMIs, NVIDIA runtime, instance families); mixed-instance ASGs supported but constrained…
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
<!-- Freshness: instance/spec claims verified against live AWS docs 2026-07-10. --> # GenAI / GPU / ML Workloads on Amazon ECS End-to-end opinionated guidance for running GPU-accelerated, ML-training, and GenAI inference workloads on **Amazon ECS-on-EC2**. This skill is scoped to the compute-and-capacity mechanics that are unique to ECS: the GPU-optimized AMI + NVIDIA container runtime, the **one-homogeneous-ASG-per-GPU-type capacity-provider pattern** — cluster auto scaling *supports* multiple instance types in one ASG, but managed scaling has no instance weighting and bin-packs and protects on the **smallest** instance type, so mixing GPU types (with different GPU counts / VRAM) breaks the scaling math; one homogeneous ASG per GPU type is therefore the best practice, not a hard limit — plus EC2 Capacity Blocks for ML, AWS Neuron (Inferentia/Trainium) on ECS, container inference/serving, distributed ML, and accelerator observability. …
Read the whole file at its exact version.
How to install
mdr add aws-samples/sample-apex-skills/ecs-genai@sha256:1f6852d2a4e514aaThe line at the top of this page pins the label git:20261028.e263a29, 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_hmpok6zzwaiewwi2)
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Versions
The registry has recorded 4 versions of this file, between Jul 10, 2026 and Oct 28, 2026, about one every 37 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261028.e263a29 latest | 2026-10-28 | e263a29 | 19,899 B | A | view · diff |
| git:20260710.98b9c32 | 2026-07-10 | 98b9c32 | 20,146 B | A | view · diff |
| git:20260710.91391e1 | 2026-07-10 | 91391e1 | 20,130 B | A | view · diff |
| git:20260710.2380400 | 2026-07-10 | 2380400 | 18,641 B | A | view |
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 (19899 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
aws-samples/sample-apex-skills · 95 stars · license MIT-0 · pushed 2026-11-09 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_hmpok6zzwaiewwi2 GET https://markdownregistry.com/api/v1/resolve?ref=aws-samples/sample-apex-skills/ecs-genai GET https://markdownregistry.com/api/v1/blob/1f6852d2a4e514aa0e071161cae9ccf6460378ace18c66e49e95067ad2a158eb
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.