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ktx Analytics Workflow

Drives a disciplined discover-inspect-plan-query-validate loop over ktx-connected databases so analytical answers are correct, not just runnable.

Data & AnalyticsAdvanced1,53299AI score 8/10Last updated: Jul 19, 2026

What it does

It gives Claude a standard operating procedure for answering any data question through the ktx MCP tools (discover_data, entity_details, dictionary_search, sl_query, sql_execution, memory_ingest).

  • Enforces a 7-step loop — discover → inspect → resolve values → plan → query → validate → capture learnings — so table and column names are never guessed.
  • Prefers the semantic layer (measures/dimensions) over raw SQL, keeping metric definitions authoritative.
  • The <sql_craft> section is a long, example-backed catalogue of the errors that produce silently wrong numbers: fan-out joins inflating SUMs, inner-joining a dimension purely for a label and dropping fact rows, parsing text-encoded numerics (1.2K, $1,200, -), the RANGE-frame trap in running totals, integer division on postgres/sqlite/tsql, filtering before a window, macro vs micro averages, and period anchoring on lifecycle timestamps.
  • Requires the exact output-column contract to be written down before the SQL, plus a final completeness check before answering.

Who it's for

  • Teams already running the ktx CLI/MCP against a warehouse (BigQuery, Postgres, Snowflake, SQLite, ...).
  • Analysts and analytics engineers who let an LLM write ad-hoc SQL and have been burned by subtly wrong totals.
  • Data orgs that want metric definitions and schema gotchas accumulated back into a searchable memory/wiki.

Examples

  1. "How many orders per region contain a returned item?" — the skill pre-aggregates order lines to one row per qualifying order before joining, so an order with two returned lines isn't counted twice.
  2. "Each customer's first order, but only since 2024-01-01" — the window is computed over the full partition and filtered in the outer query, so "first" reflects real history.
  3. "What's total trade volume?" when amounts are stored as '3M' / '$1,200' / '-' — one early CTE strips symbols, scales K/M/B suffixes and maps sentinels, avoiding a SUM that silently collapses to near-zero.

· · · Install guide · · ·

Install in the Claude app (no terminal)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
Download ZIP
Install in Claude Code

Let Claude do it — paste this into Claude Code

Install the skill I found on Claude Skill Mart.
Copy the packages/cli/src/skills/analytics folder from the GitHub repo Kaelio/ktx into my ~/.claude/skills/ktx-analytics/.
When it's done, tell me in one line what this skill can do.

Install with a command instead

git clone https://github.com/Kaelio/ktx.git && mkdir -p ~/.claude/skills && cp -r ktx/packages/cli/src/skills/analytics ~/.claude/skills/ktx-analytics

This is a third-party skill. Check the source repository before installing.

  1. Prerequisites: the ktx CLI installed and at least one database connection registered with the ktx MCP server. Without a live connection this skill has nothing to call.
  2. Clone the repository: git clone https://github.com/Kaelio/ktx.git
  3. Copy the skill folder into your Claude skills directory: mkdir -p ~/.claude/skills && cp -r ktx/packages/cli/src/skills/analytics ~/.claude/skills/ktx-analytics
  4. Verify that ~/.claude/skills/ktx-analytics/SKILL.md exists.
  5. In Claude Code, confirm the ktx MCP server is connected (run /mcp, or ask Claude to call connection_list).
  6. Restart Claude Code and try a prompt like "how many orders did we get last month?" — the skill triggers automatically for data questions.
View source on GitHubLicense: Apache-2.0