This does one thing: it takes a single table's query history from the historic-sql adapter and distills it into structured evidence about how that table is actually used. You get frequency tier, common filters, joins, and group-bys packaged into a narrative that feeds schema projection downstream. The workflow is strictly constrained: read the raw JSON, produce exactly one table_usage evidence object, then stop. No wiki writes, no semantic layer edits. The identifier verification protocol is notably thorough, requiring you to confirm every schema.table reference resolves before emitting anything. Useful when you need deterministic table usage facts extracted from query logs without second-guessing or creative expansion.
npx -y skills add kaelio/ktx --skill historic_sql_table_digest --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
prisma/skills
supabase/agent-skills
syahiidkamil/software-engineer-ai-agent-atlas
neondatabase/agent-skills
firebase/agent-skills
firebase/agent-skills