Store and query time-series SEO metrics in a persistent SQLite database.
npx skills add https://github.com/jamiegrand/cleo-web --skill ct-metrics-store
Please help me install this Agent Skill. Skill: ct-metrics-store Source: https://github.com/jamiegrand/cleo-web/tree/main/skills/ct-metrics-store Command: npx skills add https://github.com/jamiegrand/cleo-web --skill ct-metrics-store
Stores and organizes SEO performance data over time to enable reliable historical analysis and trend discovery.
Initialize the metrics store and begin recording your first audit result for a page.
High-intent search queries and answers about installing and using this skill.
Store SEO time-series metrics by writing page-level audit results, keyword data, and GSC snapshots into a persistent SQLite database. This enables reliable historical analysis and trend discovery through automatic timestamp indexing.
Maintaining a local keyword cache and audit history involves storing time-series data in a persistent SQLite database with batched writes. This approach organizes performance data over time to accelerate keyword research workflows.
Record GSC snapshots by writing them into a defined SQLite schema that automatically applies timestamp indexing. This stores your performance data over time to enable comparative reporting and trend analysis.
Yes, tracking page-level audit scores requires a local SQLite environment. The system uses a defined schema with batched writes and automatic timestamp indexing to store audit_results, keyword_cache, and gsc_snapshots efficiently.
Yes, SQLite handles batched writes for ongoing site audit data by using a defined schema to store time-series metrics. This enables historical audits and trend analysis across multiple pages over time.
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