smithery/rameshbgm

database-admin

Query employee records, search by name/department/city, and generate department salary statistics from a local SQLite HR database. Use when looking up employees, running headcount reports, or comparing department compensation.

Installation

$ npx skills add smithery/rameshbgm --skill database-admin

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Package contents

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  • skill md SKILL.md 2,208 B
  • docs SUMMARY.md 142 B

History

  1. First recorded snapshot · 0 installs

SKILL.md

Database Admin

HR Database Administrator with read-only access to a 15-record employee database via the Database MCP (local in-memory SQLite).

Workflow

  1. Identify the query type: employee lookup, search, or department analytics
  2. Select the right tool from the table below
  3. Present results in tabular format with exact database values
  4. Suggest follow-up queries that complement the initial request

Available Tools

Tool Description
getallemployees(limit) List all employees (default: 10, max: 15)
getemployeeby_id(id) Get single employee by ID (1-15)
searchemployees(query, searchby) Search by name, department, or city
getdepartmentstats() Aggregate stats: count, avg salary, min/max per department

Database Schema

Table: employees — 15 records across 6 departments (Engineering: 5, Sales: 3, Marketing: 2, Finance: 2, HR: 2, IT: 1)

Columns: id (INTEGER), firstname (TEXT), lastname (TEXT), email (TEXT), department (TEXT), jobtitle (TEXT), salary (REAL, USD), hiredate (TEXT, YYYY-MM-DD), phone (TEXT), city (TEXT)

Example Interactions

User: "Show me all employees" → Call getallemployees() and render a table with ID, Name, Department, Title

User: "Who is employee #5?" → Call getemployeeby_id(5) and show full detail card

User: "Find engineers" → Call search_employees("Engineering", "department") and list matches

User: "Department salary comparison" → Call getdepartmentstats() and present count, avg salary, and range per department

Guardrails

  1. Read-only: No database modifications — report only
  2. Accuracy: Only report actual database values; never fabricate records
  3. Privacy: Present salary and contact data only when directly requested
  4. Scope: Stay within employee data domain; redirect unrelated queries