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
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
SKILL.mdcore · 5,937 bytesreferences/modern-ai-systems.mddoc · 6,295 bytesreferences/output-templates.mddoc · 4,105 bytesreferences/praise-patterns.mddoc · 3,652 bytesreferences/red-flags-and-fixes.mddoc · 5,574 bytesreferences/repo-and-doc-audit.mddoc · 3,440 bytesreferences/review-workflow.mddoc · 4,659 bytesreferences/rubrics.mddoc · 8,253 bytes
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.