All Skills

Research Shopify Liquid patterns across themes and produce AI-consumable rule documents. Use when creating new Shopify development rules, documenting Liquid patterns, researching theme techniques, or when the user mentions writing a rule about a Shopify topic.

V
$npx skills add TeamDijon/shopify-rules --skill research-shopify-rule

Research and create a Shopify theme development rule

You are researching Shopify Liquid patterns to produce a well-documented rule for AI consumption. The topic is: $ARGUMENTS

Read the reference files in this skill's directory before starting:


Phase 1 -- Scope

  1. Identify the core topic from $ARGUMENTS. Break it down: what Liquid objects, filters, tags, or Shopify features are involved?
  2. Check for overlap using the three-level approach:
    • Read references/existing-coverage.md for a summary of what Horizon's cursor rules cover. If the topic overlaps, note what the existing rules cover and focus on what they do NOT cover (advanced patterns, workarounds, edge cases).
    • Check rules/INDEX.md for rules already written in this repo.
    • If shopify-themes/horizon/ is present, scan its .cursor/rules/ directory for the latest coverage. This takes priority over the static summary in existing-coverage.md.
  3. Search rules/ for existing rules on the topic. If a related rule exists, determine whether to extend it or create a new one.
  4. Present your scope assessment to the user before proceeding.

Phase 2 -- Research

Search for patterns across the themes in shopify-themes/. Use Explore agents to parallelize the search.

If shopify-themes/ is empty or has few themes, expand web research. The skill can still produce valuable rules from Shopify documentation alone, though cross-theme comparisons will be limited. Suggest the user adds themes for richer research -- see references/theme-guide.md for recommendations.

What to search for

  • Snippet files related to the topic (search by filename and content in snippets/ folders)
  • Section files that implement related functionality (in sections/ folders)
  • Liquid patterns using relevant filters, tags, and objects
  • Comments mentioning workarounds, tricks, or explanations (search for terms like "workaround", "hack", "trick", "note:", "important:", "TODO")
  • Schema patterns in section {% schema %} blocks that relate to the topic

Search all themes in shopify-themes/. See references/theme-guide.md for details on recommended themes and search strategies.

Web research (when appropriate)

By default, focus on local theme research when themes are available. Expand to web research when:

  • The user explicitly asks for it or shares links
  • The user's topic involves a Shopify feature where official docs would add clarity
  • Local themes don't have sufficient examples
  • shopify-themes/ is empty

Recommended web sources:

  • Shopify Dev Docs -- use the Shopify Dev MCP tool if available, otherwise shopify.dev
  • Shopify Community forums at community.shopify.dev
  • Links the user provides as additional context

Research output

For each pattern found, record:

  • Source: theme name and file path
  • Code: the relevant Liquid snippet
  • Context: what problem it solves, how it's used in the theme
  • Quality: is it clean, hacky, well-commented, production-tested?

Phase 3 -- Analysis

  1. Catalog all discovered patterns with source references
  2. Compare approaches across themes -- what's common, what varies, what's unique?
  3. Rank patterns by:
    • Correctness (does it handle edge cases?)
    • Elegance (is it readable and maintainable?)
    • AI-reproducibility (can an AI agent reliably generate this from a description?)
  4. Identify the recommended pattern(s) and note why alternatives are weaker
  5. Document edge cases, gotchas, and Liquid quirks relevant to this topic

Present a structured summary of findings to the user. Include code snippets from the most interesting patterns.

Phase 4 -- Draft

Discuss with the user:

  • Should this be one rule or multiple rules?
  • Should it extend an existing rule?
  • What category does it belong in?

Then draft the rule following the template in references/rule-template.md. Key principles:

  • Write for AI agents: the rule should help an AI turn a high-level requirement into correct Liquid code. Explain the why behind each line, not just the what.
  • Include complete, working examples: don't just describe patterns, show them with full context.
  • Document the non-obvious: focus on things an AI wouldn't know from Liquid docs alone -- workarounds, quirks, community conventions.
  • Be precise about Liquid limitations: if a pattern exists because Liquid can't do something natively, say so explicitly.
  • Reference source themes: include where the pattern was found so the user can verify.

Present the draft to the user for review. Iterate based on feedback.

Phase 5 -- Finalize

  1. Write the rule file(s) to rules/<category>/<rule-name>.md
    • Use kebab-case for filenames
    • Choose the most appropriate category from the recommended categories (see README or references/rule-template.md)
    • Create the category folder if it doesn't exist yet
  2. Update rules/INDEX.md:
    • Add the new rule under the appropriate category heading in the Rules section
    • Format: - [Rule Title](category/rule-name.md) -- one-line description
  3. If this topic came from rules/BACKLOG.md, update the corresponding entry's status to done and add the rule link
  4. Suggest related topics that could become future rules based on what you discovered during research

Important guidelines

  • Never invent Liquid filters, tags, or objects. Only use what exists in Shopify's Liquid implementation.
  • When showing code examples, use the {% liquid %} tag for multiline logic blocks (Shopify convention for newer themes).
  • Always test that code examples are syntactically valid Liquid.
  • If a pattern involves metafields, specify the metafield namespace and type clearly.
  • Cross-reference Shopify's official Liquid docs when unsure about object properties or filter behavior.