Individual skill

ml-system-design-review

Use when reviewing ML system design docs, ML/AI project repos, design-doc PRs, RAG/LLM/foundation-model architectures, agentic AI workflows, or production ML readiness. Applies the ML System Design framework by Kravchenko and Babushkin to grade designs, compare docs with code, find critical gaps and low-hanging fruit, and give specific non-cringy praise.

skills/ml-system-design-review/SKILL.md

Read pinned source

Source commit 8dd0d88852fe7445e9d2627c59124f0f161040c1

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
Yes
Repository scan complete
Yes
Skill scan complete
Yes
Observed behavior
Instructions only
Last checked
Nov 4, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

Claude Code

Destination .claude/skills/ml-system-design-review

( set -euo pipefail destination='./.claude/skills/ml-system-design-review' if [ -e "$destination" ] || [ -L "$destination" ]; then printf '%s\n' 'Destination already exists; nothing overwritten.' >&2; exit 1; fi work=$(mktemp -d) trap 'rm -rf -- "$work"' EXIT git clone --filter=blob:none --no-checkout -- 'https://github.com/ML-SystemDesign/MLSystemDesign.git' "$work/repo" git -C "$work/repo" checkout --detach 8dd0d88852fe7445e9d2627c59124f0f161040c1 git -C "$work/repo" archive --format=tar '8dd0d88852fe7445e9d2627c59124f0f161040c1:skills/ml-system-design-review' > "$work/skill.tar" mkdir -p -- './.claude/skills' mkdir -- "$destination" tar -xf "$work/skill.tar" -C "$destination" )
Codex

Destination .agents/skills/ml-system-design-review

( set -euo pipefail destination='./.agents/skills/ml-system-design-review' if [ -e "$destination" ] || [ -L "$destination" ]; then printf '%s\n' 'Destination already exists; nothing overwritten.' >&2; exit 1; fi work=$(mktemp -d) trap 'rm -rf -- "$work"' EXIT git clone --filter=blob:none --no-checkout -- 'https://github.com/ML-SystemDesign/MLSystemDesign.git' "$work/repo" git -C "$work/repo" checkout --detach 8dd0d88852fe7445e9d2627c59124f0f161040c1 git -C "$work/repo" archive --format=tar '8dd0d88852fe7445e9d2627c59124f0f161040c1:skills/ml-system-design-review' > "$work/skill.tar" mkdir -p -- './.agents/skills' mkdir -- "$destination" tar -xf "$work/skill.tar" -C "$destination" )
Cursor

Destination .cursor/skills/ml-system-design-review

( set -euo pipefail destination='./.cursor/skills/ml-system-design-review' if [ -e "$destination" ] || [ -L "$destination" ]; then printf '%s\n' 'Destination already exists; nothing overwritten.' >&2; exit 1; fi work=$(mktemp -d) trap 'rm -rf -- "$work"' EXIT git clone --filter=blob:none --no-checkout -- 'https://github.com/ML-SystemDesign/MLSystemDesign.git' "$work/repo" git -C "$work/repo" checkout --detach 8dd0d88852fe7445e9d2627c59124f0f161040c1 git -C "$work/repo" archive --format=tar '8dd0d88852fe7445e9d2627c59124f0f161040c1:skills/ml-system-design-review' > "$work/skill.tar" mkdir -p -- './.cursor/skills' mkdir -- "$destination" tar -xf "$work/skill.tar" -C "$destination" )
Gemini CLI

Destination .gemini/skills/ml-system-design-review

( set -euo pipefail destination='./.gemini/skills/ml-system-design-review' if [ -e "$destination" ] || [ -L "$destination" ]; then printf '%s\n' 'Destination already exists; nothing overwritten.' >&2; exit 1; fi work=$(mktemp -d) trap 'rm -rf -- "$work"' EXIT git clone --filter=blob:none --no-checkout -- 'https://github.com/ML-SystemDesign/MLSystemDesign.git' "$work/repo" git -C "$work/repo" checkout --detach 8dd0d88852fe7445e9d2627c59124f0f161040c1 git -C "$work/repo" archive --format=tar '8dd0d88852fe7445e9d2627c59124f0f161040c1:skills/ml-system-design-review' > "$work/skill.tar" mkdir -p -- './.gemini/skills' mkdir -- "$destination" tar -xf "$work/skill.tar" -C "$destination" )
GitHub Copilot

Destination .github/skills/ml-system-design-review

( set -euo pipefail destination='./.github/skills/ml-system-design-review' if [ -e "$destination" ] || [ -L "$destination" ]; then printf '%s\n' 'Destination already exists; nothing overwritten.' >&2; exit 1; fi work=$(mktemp -d) trap 'rm -rf -- "$work"' EXIT git clone --filter=blob:none --no-checkout -- 'https://github.com/ML-SystemDesign/MLSystemDesign.git' "$work/repo" git -C "$work/repo" checkout --detach 8dd0d88852fe7445e9d2627c59124f0f161040c1 git -C "$work/repo" archive --format=tar '8dd0d88852fe7445e9d2627c59124f0f161040c1:skills/ml-system-design-review' > "$work/skill.tar" mkdir -p -- './.github/skills' mkdir -- "$destination" tar -xf "$work/skill.tar" -C "$destination" )
OpenCode

Destination .opencode/skills/ml-system-design-review

( set -euo pipefail destination='./.opencode/skills/ml-system-design-review' if [ -e "$destination" ] || [ -L "$destination" ]; then printf '%s\n' 'Destination already exists; nothing overwritten.' >&2; exit 1; fi work=$(mktemp -d) trap 'rm -rf -- "$work"' EXIT git clone --filter=blob:none --no-checkout -- 'https://github.com/ML-SystemDesign/MLSystemDesign.git' "$work/repo" git -C "$work/repo" checkout --detach 8dd0d88852fe7445e9d2627c59124f0f161040c1 git -C "$work/repo" archive --format=tar '8dd0d88852fe7445e9d2627c59124f0f161040c1:skills/ml-system-design-review' > "$work/skill.tar" mkdir -p -- './.opencode/skills' mkdir -- "$destination" tar -xf "$work/skill.tar" -C "$destination" )

Repository context

Repository stars (not skill ratings)
890
Repository last updated
Aug 22, 2026
License
MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt

# ML System Design Review

Use this skill to help book readers apply the ML System Design framework by Kravchenko and Babushkin to a real project. The useful output is not a generic checklist. It is a pragmatic review that tells the team what is blocking, what is cheap to improve, what is already strong, and what lesson is worth sharing.

## Activation

Use when the user asks to review, grade, audit, or improve:

- An ML system design document.
- An ML/AI repository or implementation plan.
- A design-doc PR or architecture proposal.
- A production ML readiness plan.
- A RAG, LLM, foundation-model, fine-tuning, or agentic AI system.