nanook-skill

Agent skills for creating equivalence-class-tables — structured test case design for pages, APIs, and forms.

Install with:

npx skills add xhubio/nanook-skill

Skills

create-equivalence-class-table

Creates formatted Excel decision tables for equivalence class testing. Works with any test object — pages, APIs, forms.

Trigger phrases: "create equivalence class table", "decision table", "equivalence class table", "test data table", "nanook table"

What it does

1. Analyzes your test object (fields, validation rules, dependencies)
2. Groups fields and structures them into decision tables
3. Defines equivalence classes per field (valid + invalid partitions)
4. Plans test cases using the CASCADE pattern for 100% coverage
5. Generates a color-formatted .xlsx file with formulas, ready for Nanook's ImporterXlsx

Generated Excel structure

• Column A–E: Field definitions (name, section type, equivalence classes, generators, comments)
• Column F+: Test cases with markers (x = selected, a = preferred, e = fallback, i = impossible)
• Formulas: Automatic COUNTA for equivalence class counts and coverage percentages
• Color coding: Blue headers, green summary sections

CASCADE pattern

The skill applies the CASCADE technique to achieve exactly 100% equivalence class coverage with the minimum number of test cases. Each non-preferred equivalence class gets its own error test case, and a/e markers are placed only on fields after the target — producing a decreasing product series that sums to the total combinations.

Technology

Uses exceljs for Excel generation with cell styling and formula support. Output is fully compatible with Nanook's ParserDecision format.

Supported agents

Works with Claude Code, Cursor, GitHub Copilot, Cline, and other agents that support the skills ecosystem.

Links

• Nanook documentation
• @xhubio/nanook-table — the core table engine