bls-query

Map natural language topics to BLS series IDs and fetch values.

3.7k|104|Updated Dec 11, 2020
One-click install
npx skills add https://github.com/dathere/qsv --skill bls-query
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bls-query
Source: https://github.com/dathere/qsv/tree/main/.claude/skills/skills/bls-query
Command: npx skills add https://github.com/dathere/qsv --skill bls-query

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Maps natural language queries about U.S. labor data to precise BLS series IDs and retrieves the requested values via the MCP server.

Core Features & Use Cases

  • Map topics like CPI, unemployment, wages, and other labor indicators to the correct BLS survey and series ID.
  • Retrieve latest values or time series data, with clear reference to the series ID used.
  • Handle ambiguous topics by consulting the series catalog and popular series recommendations, returning the best match.

Quick Start

Ask for a topic like CPI or unemployment and the skill will return the corresponding BLS series value.

Frequently Asked Questions about bls-query

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I query BLS data for CPI or unemployment using natural language?

Querying BLS data for labor indicators like CPI or unemployment involves mapping natural language to specific BLS series IDs and retrieving the latest values. The skill returns the series ID, date, value, and seasonal adjustment status.

How do I find the correct BLS series ID for a specific labor statistics topic?

Finding the correct BLS series ID for a specific labor statistics topic is handled by consulting the series catalog and popular series recommendations. The skill maps topics like wages to BLS surveys and returns the best matching series ID.

Can I retrieve time series data for macroeconomic indicators via the BLS MCP server?

Retrieving time series data for macroeconomic indicators via the BLS MCP server is fully supported. The skill fetches historical data points for the identified series ID and clearly indicates whether the values are seasonally adjusted.

Does the BLS query skill work with ambiguous economic indicators?

The BLS query skill handles ambiguous economic indicators by consulting the series catalog and popular recommendations. It maps the input to the most appropriate BLS survey and returns the best matching data series.

What information is included when fetching labor statistics values?

Fetching labor statistics values returns the specific BLS series ID, the date of the data point, the retrieved value, and a clear indication of whether the data are seasonally adjusted.

What is the best way to map natural language queries to BLS surveys and series IDs?

The best way to map natural language queries to BLS surveys and series IDs is using a dedicated mapping tool. It identifies the correct survey for topics like CPI or unemployment and fetches the corresponding data via the MCP server.