Individual skill

ai-stage-gate

Use when running a stage-gate or gate review for an AI product, deciding Go/Kill/Pivot at a gate, judging whether an AI initiative is ready to advance to the next stage, triaging a portfolio of AI ideas, or choosing between a full and a fast-track path. Applies a Stage-Gate process built for AI products — incremental investment, dual value-and-technical validation, alignment/ethics/data checks at every gate — to reach an evidence-based gate decision.

skills/ai-stage-gate/SKILL.md

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Last checked
Nov 4, 2026

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Claude Code

Destination .claude/skills/ai-stage-gate

( set -euo pipefail destination='./.claude/skills/ai-stage-gate' 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 "$work/repo" archive --format=tar '8dd0d88852fe7445e9d2627c59124f0f161040c1:skills/ai-stage-gate' > "$work/skill.tar" mkdir -p -- './.claude/skills' mkdir -- "$destination" tar -xf "$work/skill.tar" -C "$destination" )
Codex

Destination .agents/skills/ai-stage-gate

( set -euo pipefail destination='./.agents/skills/ai-stage-gate' 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 "$work/repo" archive --format=tar '8dd0d88852fe7445e9d2627c59124f0f161040c1:skills/ai-stage-gate' > "$work/skill.tar" mkdir -p -- './.agents/skills' mkdir -- "$destination" tar -xf "$work/skill.tar" -C "$destination" )
Cursor

Destination .cursor/skills/ai-stage-gate

( set -euo pipefail destination='./.cursor/skills/ai-stage-gate' 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 "$work/repo" archive --format=tar '8dd0d88852fe7445e9d2627c59124f0f161040c1:skills/ai-stage-gate' > "$work/skill.tar" mkdir -p -- './.cursor/skills' mkdir -- "$destination" tar -xf "$work/skill.tar" -C "$destination" )
Gemini CLI

Destination .gemini/skills/ai-stage-gate

( set -euo pipefail destination='./.gemini/skills/ai-stage-gate' 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 "$work/repo" archive --format=tar '8dd0d88852fe7445e9d2627c59124f0f161040c1:skills/ai-stage-gate' > "$work/skill.tar" mkdir -p -- './.gemini/skills' mkdir -- "$destination" tar -xf "$work/skill.tar" -C "$destination" )
GitHub Copilot

Destination .github/skills/ai-stage-gate

( set -euo pipefail destination='./.github/skills/ai-stage-gate' 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 "$work/repo" archive --format=tar '8dd0d88852fe7445e9d2627c59124f0f161040c1:skills/ai-stage-gate' > "$work/skill.tar" mkdir -p -- './.github/skills' mkdir -- "$destination" tar -xf "$work/skill.tar" -C "$destination" )
OpenCode

Destination .opencode/skills/ai-stage-gate

( set -euo pipefail destination='./.opencode/skills/ai-stage-gate' 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 "$work/repo" archive --format=tar '8dd0d88852fe7445e9d2627c59124f0f161040c1:skills/ai-stage-gate' > "$work/skill.tar" mkdir -p -- './.opencode/skills' mkdir -- "$destination" tar -xf "$work/skill.tar" -C "$destination" )

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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.

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# AI Stage-Gate Review

Use this skill to run a gate review for an AI product and reach a defensible decision: advance, fix-and-recycle, or stop. Stage-Gate is a portfolio-management process that structures an AI product from idea to scale: each **stage** of work ends at a **gate** where results are defended and a Go/Conditional/Kill decision is made. The useful output is not a checklist stamp. It is a decision that says what is proven, what is still a risk, what must be true to advance, and how much to invest next.

**Provenance.** This skill was inspired by and builds on work from [Hushpar](https://github.com/Hushpar). It encodes a generic Stage-Gate process adapted for AI products — six stages on Discovery and Delivery tracks, traffic-light gates, and dual value-and-technical validation. It is a distilled, vendor-neutral adaptation, not a transcription of any one organization's internal playbook; tune the stages, criteria, and thresholds to your own portfolio. It is a sibling of `ml-system-design-review` in the same [ML System Design](https://arseny.info/ml_design_book) skill collection: that skill judges *how good a design is*; this one judges *whether it has earned the next investment*.

The process runs on two tracks — **Discovery** (find and validate ideas) and **Delivery** (build and scale) — across six stages, with an optional **Fast Track** for low-uncertainty products. The AI difference is that value alone is never enough: technical feasibility, data, and alignment must clear each gate too.

## Activation

Use when the user asks to run, prepare for, or judge:

- A gate review or gate defense for an AI product or feature.
- A Go / Kill / Pivot / Conditional-Go decision at any stage.