Identify recurring cross-table historic-SQL analytical intents from a bounded pattern shard and emit typed pattern evidence for deterministic wiki projection.

Convert one changed historic-SQL table usage bucket into typed table usage evidence for deterministic _schema projection.

Classify and resolve conflicts detected during bundle ingest (structural duplicates, definitional contradictions, near-duplicate clusters, re-ingest changes, evictions).

Install and configure **ktx**, the open-source context layer for data agents. Use this skill when a user wants an agent to add **ktx** to a project, connect data sources, build initial context, install agent integration, or troubleshoot a local **ktx** setup.

Use when answering a question that needs data from a KTX-connected database - investigating, analyzing, "how many", "show me", "what's the breakdown of", finding records by value, exploring tables, comparing periods, explaining metrics, or any data-analysis request. Triggers even when the user does not say "analytics"; if the answer requires querying a configured KTX connection, this skill applies.

Capture semantic-layer and knowledge updates from a live database schema snapshot.

Map a LookML view/model/explore into KTX semantic layer sources. Covers the LookML to KTX primitive table, provenance tagging, and three worked examples (overlay, standalone from derived_table, standalone with sql_always_where). Load when the turn contains `.lkml` content.

Convert Metabase questions, models, and metrics into KTX Semantic Layer source definitions. Covers result-metadata to KSL column type mapping, FK/PK detection, near-duplicate deduplication, pre-aggregation decomposition, join-graph connectivity, and how to react to priorProvenance from earlier ingest syncs. Load when the WorkUnit contains `cards/<id>.json` files under a Metabase bundle.

A MetricFlow `semantic_model` maps to an SL source; MetricFlow `measures` map to KTX measures; MetricFlow `entities` map to KTX `joins`; MetricFlow `metrics` (top-level) map to KTX measures OR to cross-model derived measures. Files in one WorkUnit are ALWAYS part of the same logical entity (a connec

KTX's semantic layer - a structured catalog of sources (tables/views), measures, joins, and segments expressed as YAML. Covers the schema and how to query it via `sl_query`. Use when the task involves querying pre-defined metrics (ARR, churn, retention, LTV, MAU) or reading SL source YAML to understand the catalog. Capture is handled by the `sl_capture` skill (memory-agent only).

How to capture new reusable patterns into KTX's semantic layer - when a measure, segment, or join belongs in the catalog and how to write it generically so it stays small and useful over time. Loaded by the post-turn memory-agent only. The research agent does not write to the SL.

KTX's knowledge base - wiki pages for durable, reusable business knowledge. Covers capture workflow for user preferences, metric definitions, organizational conventions, and cross-references between wiki pages and semantic-layer sources. Loaded by the post-turn memory-agent only. The research agent reads wiki via `wiki_read`/`wiki_search` but does not write it.