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AC shopify-store-optimizer

Audit Shopify stores end-to-end and produce a prioritized fix list to lift conversion rate, AOV, and SEO traffic. Diagnoses theme speed, product page anatomy, collection structure, cart/checkout friction, app bloat, mobile UX, and pricing/discount strategy. Knows the Shopify-specific levers (sections, metafields, app stack, Shop Pay, Markets, Checkout Extensibility) and the 2026 Online Store 2.0 patterns. Use when asked to audit a Shopify store, improve conversion, increase AOV, fix slow theme, optimize product pages, restructure collections, reduce cart abandonment, plan a redesign, evaluate apps, or prepare for BFCM. Triggers on "shopify audit", "shopify conversion", "shopify speed", "product page", "collection page", "abandoned cart", "AOV", "shopify theme", "shopify apps", "checkout optimization", "BFCM prep".

ClawHub Agent Skills author: charlie-morrison v1.0.0 MIT-0 2 files body ≈ 2 616 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 60/100 · Has gaps — weak spots: inputs and preconditions, consistency, running it twice

AnalyzerShopifyCommercetype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
89
Run on models
none yet
Process rating
C
60/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 0

    ✓ No critical or high findings

    Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 60/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 6 mutating operations with no state check
    • 40Consistency. Frontmatter name (shopify-store-optimizer) differs from the folder (cm-shopify-store-optimizer)
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 70Failures and branches. 4 branches
    • 100Steps. 61 steps
    • 100Execution cost. Instruction body is 2616 tokens

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Description length 825: 120–800 characters recommended
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 10 example trigger phrases
    • +4Structure: 15 headings
    • +3Step-by-step instructions: 61 items
    • +3Output format is stated explicitly
    • +4Has examples (1 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.

    External checks

    ClawHub: clean
    This is an instruction-only Shopify audit skill, and I found no code, hidden behavior, credential use, persistence, or automatic store-changing actions.
    LLM: benign (high) · VirusTotal: benign · 28 May 2026