autoscaling-policies SKILL.md skillA
autoscaling-policies from amey-thakur/ai-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add amey-thakur/ai-skills/autoscaling-policies@git:20260720.3c9eba4Pins git:20260720.3c9eba4 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- amey-thakur/ai-skills
- Path
skills/cloud/autoscaling-policies/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260720.3c9eba4, committed Jul 20, 2026
- Size
- 3,261 bytes
- Repository stars
- 14
- License
- MIT
Design autoscaling on the right metric with velocity controls, warm capacity, and flap prevention. Use when configuring autoscaling or diagnosing oscillation, lag, and cost spikes in scaled fleets.
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
# Autoscaling policies Autoscaling is a control loop: metric, target, actuation delay. Tune it like one; most failures are the wrong metric (measure of busyness that does not track your bottleneck) or ignored actuation lag (scaling that arrives after the spike). ## Method 1. **Scale on the constraint, not the habit.** CPU-bound services: CPU target 50-70% (headroom = the buffer that absorbs spikes during scale-out lag). Concurrency-bound (most request services): in-flight requests or RPS per instance against a measured per-instance capacity. Queue workers: backlog age or depth-per-worker (see message-queues), never CPU: an idle worker fleet with a growing queue is the classic mis-metric outage. 2. **Measure the actuation delay, then buy headroom for it.** Time from scale decision to serving instance (image pull, boot, warmup, registration): if it is 3 minutes, your target utilization must leave 3 minutes of spike absorption. Shrink the delay itself: smaller images, prebaked AMIs/warm pools, provisioned concurrency on function paths (see serverless-tradeoffs), and startup probes that report ready honestly (see health-checks). …
Read the whole file at its exact version.
How to install
mdr add amey-thakur/ai-skills/autoscaling-policies@sha256:3fd9dc650e875765The line at the top of this page pins the label git:20260720.3c9eba4, 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_f4oggam3jmspqk6k)
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Versions
The registry has recorded 1 version of this file, committed on Jul 20, 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 (3261 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
amey-thakur/ai-skills · 14 stars · license MIT · pushed 2026-09-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_f4oggam3jmspqk6k GET https://markdownregistry.com/api/v1/resolve?ref=amey-thakur/ai-skills/autoscaling-policies GET https://markdownregistry.com/api/v1/blob/3fd9dc650e8757657284f6b593a266b0734aa211b079e71701d8ed03fd161f08
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.