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Get Started Free →Build enterprise e-commerce with BigCommerce. Use when a user asks to set up a large-scale online store, use a hosted e-commerce platform with headless API, integrate with Next.js Commerce, or migrate from Shopify to a more API-friendly platform.
.claude/skills/terminalskills-bigcommerce/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-10 | ✗→✓ | ▲ Improved | 23% | 0% |
| case-02 | ✓→✓ | = Same ✓ | 73% | 0% |
| case-03 | ✓→✓ | = Same ✓ | 4% | 0% |
| case-04 | ✓→✓ | = Same ✓ | 51% | 0% |
| case-05 | ✓→✓ | = Same ✓ | -3% | 0% |
BigCommerce is a hosted e-commerce platform with strong headless capabilities. Unlike Shopify, it includes more features out of the box (no app fees for basic needs), has a comprehensive REST + GraphQL API, and supports multi-storefront. Works as a backend for headless commerce with Next.js, Gatsby, or any frontend.
typescript// lib/bigcommerce.ts — Fetch products via GraphQL Storefront API const STOREFRONT_TOKEN = process.env.BC_STOREFRONT_TOKEN! const STORE_HASH = process.env.BC_STORE_HASH! export async function getProducts(limit = 12) { const query = ` query Products($first: Int!) { site { products(first: $first) { edges { node { entityId name path prices { price { value currencyCode } } defaultImage { url(width: 400) altText } } } } } } ` const res = await fetch(`https://store-${STORE_HASH}.mybigcommerce.com/graphql`, { method: 'POST', headers: { 'Content-Type': 'application/json', Authorization: `Bearer ${STOREFRONT_TOKEN}`, }, body: JSON.stringify({ query, variables: { first: limit } }), }) const { data } = await res.json() return data.site.products.edges.map(e => e.node) }
typescript// lib/bc-admin.ts — Server-side product and order management const BC_TOKEN = process.env.BC_API_TOKEN! const STORE_HASH = process.env.BC_STORE_HASH! const BASE_URL = `https://api.bigcommerce.com/stores/${STORE_HASH}/v3` // Create product await fetch(`${BASE_URL}/catalog/products`, { method: 'POST', headers: { 'Content-Type': 'application/json', 'X-Auth-Token': BC_TOKEN, }, body: JSON.stringify({ name: 'Premium Headphones', type: 'physical', price: 199.99, weight: 1.5, categories: [23], is_visible: true, }), }) // Get orders const orders = await fetch(`${BASE_URL}/orders?status_id=11`, { headers: { 'X-Auth-Token': BC_TOKEN }, }).then(r => r.json())
bash# Use the official Next.js Commerce template with BigCommerce npx create-next-app -e https://github.com/vercel/commerce # Configure BigCommerce provider in .env.local
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 10,836 | 6,878 | -37% | 1 | 1 | 0% | 1,782 | 2,129 | +19% | 0 | 0 | — |
case-02 | pass→pass | 4,084 | 2,472 | -39% | 1 | 1 | 0% | 712 | 1,235 | +73% | 0 | 0 | — |
case-03 | pass→pass | 7,906 | 2,652 | -66% | 1 | 1 | 0% | 1,160 | 1,211 | +4% | 0 | 0 | — |
case-04 | pass→pass | 4,436 | 2,478 | -44% | 1 | 1 | 0% | 753 | 1,138 | +51% | 0 | 0 | — |
case-05 | pass→pass | 8,318 | 3,985 | -52% | 1 | 1 | 0% | 1,540 | 1,488 | -3% | 0 | 0 | — |
case-06 | pass→pass | 8,822 | 6,646 | -25% | 1 | 1 | 0% | 1,630 | 1,947 | +19% | 0 | 0 | — |
case-07 | pass→pass | 4,046 | 2,473 | -39% | 1 | 1 | 0% | 737 | 1,151 | +56% | 0 | 0 | — |
case-08 | pass→pass | 2,020 | 2,481 | +23% | 1 | 1 | 0% | 347 | 1,221 | +252% | 0 | 0 | — |
case-09 | pass→pass | 11,540 | 7,096 | -39% | 1 | 1 | 0% | 2,456 | 2,186 | -11% | 0 | 0 | — |
case-10 | fail→pass | 5,865 | 3,712 | -37% | 1 | 1 | 0% | 1,141 | 1,398 | +23% | 0 | 0 | — |
case-11 | pass→pass | 7,521 | 7,437 | -1% | 1 | 1 | 0% | 1,332 | 2,176 | +63% | 0 | 0 | — |
case-12 | pass→pass | 7,421 | 7,644 | +3% | 1 | 1 | 0% | 1,434 | 2,212 | +54% | 0 | 0 | — |
case-13 | pass→pass | 9,441 | 6,786 | -28% | 1 | 1 | 0% | 1,652 | 2,142 | +30% | 0 | 0 | — |
case-14 | pass→pass | 13,164 | 7,885 | -40% | 1 | 1 | 0% | 1,913 | 2,304 | +20% | 0 | 0 | — |
case-15 | pass→pass | 10,886 | 3,741 | -66% | 1 | 1 | 0% | 2,194 | 1,534 | -30% | 0 | 0 | — |
case-16 | pass→pass | 3,512 | 1,198 | -66% | 1 | 1 | 0% | 644 | 936 | +45% | 0 | 0 | — |
case-17 | pass→pass | 8,704 | 6,244 | -28% | 1 | 1 | 0% | 1,811 | 2,117 | +17% | 0 | 0 | — |
case-18 | pass→pass | 8,242 | 6,262 | -24% | 1 | 1 | 0% | 1,770 | 2,035 | +15% | 0 | 0 | — |
case-19 | pass→pass | 5,404 | 4,995 | -8% | 1 | 1 | 0% | 980 | 1,629 | +66% | 0 | 0 | — |
case-20 | pass→pass | 6,549 | 2,760 | -58% | 1 | 1 | 0% | 1,233 | 1,264 | +3% | 0 | 0 | — |
case-21 | pass→pass | 7,030 | 4,396 | -37% | 1 | 1 | 0% | 1,528 | 1,686 | +10% | 0 | 0 | — |
case-22 | pass→pass | 11,815 | 12,571 | +6% | 1 | 1 | 0% | 2,307 | 3,258 | +41% | 0 | 0 | — |
case-23 | pass→pass | 9,736 | 7,552 | -22% | 1 | 1 | 0% | 2,045 | 2,350 | +15% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 23 cases were attempted. The headline lift of +4 percentage points is the difference between those two pass rates over the 23 comparable cases.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.