compare
SolidCompare a site against its own baseline, against a staging deployment, against up to four competitors, or against the pages that already answer a query (content gap). Produces score, category, finding and structure deltas from persisted audit runs. Read-only. Use when the user asks what changed after a deploy, whether staging is worse than production, how they stack up against competitors, or what rivals cover that they do not.
Install
Quality Score: 87/100
Skill Content
Details
- Author
- Hainrixz
- Repository
- Hainrixz/claude-seo-ai
- Created
- 3 months ago
- Last Updated
- 4 days ago
- Language
- JavaScript
- License
- MIT
Bundled in these plugins
Similar Skills
Semantically similar based on skill content — not just same category
comparing-papers
Use when comparing a draft against specific prior work head to head — checking whether a baseline was trained at the same scale, whether protocols match, how many seeds each ran, or what a competitor actually reports. Triggers on "compare this paper to X", "how does our method differ from Y", "is the baseline comparison fair", "did they train at the same scale", or a shortlist of papers from a gap sweep.
comparison
Generate a head-to-head comparison page ("[Site] vs [Competitor]" or "[Product A] vs [Product B]") for a chosen managed site. Captures decision-stage searchers comparing the site against a named alternative. Picks the comparison from `service-keywords.csv` (rows with intent=`comparison`) or user input, runs SERP analysis on top 3 comparison pages, builds a feature-by-feature comparison table, balances honesty (real limitations) with conversion (clear differentiators), satisfies Tier 1 on-page SEO, and ships per the site's publishing method. Use when the user types `/comparison` or asks for a "vs" page.
compare
Same-epoch comparison of training runs across wandb, neptune, tensorboard, or mlflow. Aligns runs at the student's current step (never current-vs-final-of-baseline) and separates proxy metrics from downstream targets. Use when the user asks to compare runs, check if a run is improving, track lag against a baseline, rank experiments, or evaluate run-vs-run performance. Do not use for statistical interpretation of completed result tables (use analyze-results).