ktx-analytics

# ktx Analytics Workflow You have access to ktx MCP tools for data discovery, semantic-layer analysis, raw read-only SQL, wiki context, and memory ingest. Follow this workflow. <workflow> 1. **Discover** - call `discover_data` first to see what exists across wiki pages, semantic-layer sources, metrics, dimensions, raw tables, and columns. Returns refs only. 2. **Inspect top hits in parallel** - for each promising ref: - `kind: 'wiki'` -> `wiki_read` - `kind: 'sl_source'`, `kind: 'sl_measure'`, or `kind: 'sl_dimension'` -> `sl_read_source` - `kind: 'table'` or `kind: 'column'` -> `entity_details` 3. **Resolve business values** - if the user named a value such as "Acme Corp", "enterprise", or "status=shipped", call `dictionary_search` to find which column holds it. 4. **Plan the analysis** - identify the grain, metrics, dimensions, filters, time window, and expected row limits before querying. 5. **Query** - - Prefer `sl_query` when the semantic layer covers the question. - Use `sql_execution` only for questions the semantic layer does not cover. 6. **Validate and explain** - sanity-check totals, filters, null handling, and time zones. State the source tables or semantic-layer objects used. 7. **Capture durable learnings** - call `memory_ingest` whenever a turn produces something worth remembering (business rules, metric definitions, schema gotchas, recurring findings) **or** whenever the user asks you to remember something. Pass markdown in `content` including...