scalability-planning SKILL.md skillA
scalability-planning 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/scalability-planning@git:20260728.fac4544Pins git:20260728.fac4544 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/architecture/scalability-planning/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260728.fac4544, committed Jul 28, 2026
- First version recorded
- Jul 20, 2026
- Size
- 3,731 bytes
- Repository stars
- 14
- License
- MIT
Plan scalability from a load model and bottleneck math, designing for realistic growth without premature over-engineering. Use when designing for scale or after a load-driven incident.
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
# Scalability planning Scalability is designed against a number, not a feeling. Start from a load model, find where it breaks, and design for the next order of magnitude: not ten, because that is today, and not a thousand, because that is architecture astronomy you will rebuild before you reach it. ## Method 1. **Build the load model first.** Requests per second at peak, data volume and growth rate, read/write ratio, payload sizes, and the concurrency shape (steady vs spiky): tied to the business driver (see capacity-planning, product-metrics). Every scaling decision references this model; designing for scale without a number is guessing which is why systems get over- and under-built at once. 2. **Find the bottleneck by math, then by test.** Trace the load through the system and compute where it saturates first (usually the database, a shared lock, or a single-threaded stage: see systems-profiling, concurrency-tuning); intuition picks the wrong component routinely. Confirm with load testing (see load-testing) and design the fix for the *real* bottleneck, not the scary-looking one. …
Read the whole file at its exact version.
How to install
mdr add amey-thakur/ai-skills/scalability-planning@sha256:184ee32cf70d4281The line at the top of this page pins the label git:20260728.fac4544, 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_rlm2lbitr2ta2sjh)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Jul 20, 2026 and Jul 28, 2026, about one every 7 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260728.fac4544 latest | 2026-07-28 | fac4544 | 3,731 B | A | view · diff |
| git:20260720.67d6135 | 2026-07-20 | 67d6135 | 3,732 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 (3731 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_rlm2lbitr2ta2sjh GET https://markdownregistry.com/api/v1/resolve?ref=amey-thakur/ai-skills/scalability-planning GET https://markdownregistry.com/api/v1/blob/184ee32cf70d4281efd605bb665eb5f09d9592fae1da9517eb1a2b39c1a908ff
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.
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