Limit unnecessary URL parameters
SkillSearchParameters is a skill for auditing URL structure and configuring how search engines handle filtered, sorted, or tracked URLs. It guides an agent through finding URL parameters in use, checking canonical tags, and identifying duplicate URLs that waste crawl budget. It applies to e-commerce sites, filtered content directories, and any site appending tracking or session parameters.
Available today. Use it from your connected AI after setup.
No other account needed.
1. Have an agent environment where skills can be added, and add the parameters skill to it.
Then ask your AI: use the Limit unnecessary URL parameters skill
What your AI can do with it
- Identify URL parameters in use across a site (filter, sort, color, size, utm_*, page, etc.
- Check whether pages with each parameter type have canonical tags
- Verify tracking parameters (utm_*, fbclid, gclid) are excluded from canonical URLs
- Identify URLs with 3+ parameters for potential crawl budget waste
- Report the total number of unique parameter combinations crawlable
- Guide fixes: add canonical tags and strip tracking parameters from them
Getting started
- 1. Have an agent environment where skills can be added, and add the parameters skill to it.
- 2. Have the site or URL set to audit available for the agent to inspect.
- 3. Ask the agent to identify URL parameters in use and check canonical tags for each parameter type.
- 4. Review the agent's findings on tracking parameters and crawlable parameter combinations, then apply the recommended canonical tag fixes.
What this skill tells your AI
The instructions your AI receives, as published by thedaviddias/front-end-checklist in skills/parameters/SKILL.md and read by ahel’s review.
Uncontrolled URL parameters generate duplicate content that wastes crawl budget and splits PageRank across URL variants, reducing the ranking potential of the canonical-url page.
Quick Reference
- URL parameters can create thousands of duplicate URLs from a single page
- Use canonical tags to consolidate parametric URL variants to a single URL
- Strip tracking parameters (utm_*, fbclid, gclid) before setting the canonical-url
- For critical parameters (page, sort), include them in the canonical URL
Check
Identify URL parameters in use across the site (filter, sort, color, size, utm_*, page, etc.). For each parameter type, check whether the page has a canonical tag. Verify that tracking-only parameters (utm_source, fbclid, gclid) are excluded from canonical URLs. Identify URLs with 3+ parameters and review for potential crawl budget waste.
Fix
Add canonical tags to parameter-based URLs pointing to the parameter-free or preferred URL. Remove tracking parameters from canonical tags. For sorting/filtering parameters that change content meaningfully (page=2, sort=price), either canonicalize to the base URL or self-canonicalize consistently.
Explain
URL parameters like ?color=red&size=large&sort=price&utm_source=google can generate thousands of unique URLs for the same underlying content. Without canonical tags, Googlebot crawls all variants, treating each as a separate page. This wastes crawl budget, creates duplicate content, and dilutes PageRank.
Code Review
Enumerate all URL parameter patterns used across the site. For each parameter type, check if pages with those parameters have canonical tags. Verify tracking parameters (utm_*, fbclid, gclid) are stripped from canonical URLs. Check that filter/sort parameter URLs either self-canonicalize or canonical-url to the base URL. Report the total number of unique parameter combinations crawlable.
For full implementation details, code examples, and framework-specific guidance,
see references/rule.md.
Rule page: https://frontendchecklist.io/en/rules/seo/parameters
Signals
- GitHub stars
- 74k
- Forks
- 7k
- Last commit
- Aug 2026
Questions
- What does the parameters skill do?
- It audits URL structure and search engine handling of filtered, sorted, or tracked URLs, checking canonical tags and identifying duplicate URLs that waste crawl budget.
- When should it be used?
- When auditing URL structure or configuring search engine handling of parameter-based URLs, such as on e-commerce sites or filtered content directories.
- How long does an audit take?
- The estimated time is 15 minutes.
Advanced
- Item type
- skill
- Key
parameters- Source
- github.com/thedaviddias/front-end-checklist