AI-Skills-Collection test-case-generator

install
source · Clone the upstream repo
git clone https://github.com/ShreyasBh02/AI-Skills-Collection
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/ShreyasBh02/AI-Skills-Collection "$T" && mkdir -p ~/.claude/skills && cp -r "$T/test-case-generator" ~/.claude/skills/shreyasbh02-ai-skills-collection-test-case-generator && rm -rf "$T"
manifest: test-case-generator/SKILL.md
source content

Test Case Generator

Generate structured, comprehensive test cases from any input — and export them as a formatted, ready-to-use Excel (.xlsx) file compatible with Excel and Google Sheets.


Input Types Supported

  • User Stories — "As a user, I want to..."
  • Feature Descriptions — Plain English description of a feature
  • Acceptance Criteria — Bullet points or Gherkin-style Given/When/Then
  • API Endpoints — Method, URL, request/response details
  • Bug Fixes — Regression test cases from a bug description
  • Rough Notes — Even messy, informal input is fine

Workflow

Step 1 — Understand the Input

Read the input carefully and identify:

  • What is being tested (feature, API, UI flow, business rule)
  • Who is the actor (end user, admin, system, API consumer)
  • What are the success and failure conditions
  • What data or state is involved

If the input is ambiguous, make reasonable assumptions and state them clearly before generating.

Step 2 — Identify Test Categories

Always cover these categories (skip only if clearly not applicable):

CategoryDescription
PositiveValid inputs, expected flow works correctly
NegativeInvalid inputs, rejected requests, error states
BoundaryMin/max values, empty, null, zero, max length
SecurityAuth checks, unauthorized access, injection attempts
UI/UXResponsive, disabled states, loading states (if applicable)
RegressionExisting functionality should not break

Step 3 — Generate & Export to Excel

Use Python + openpyxl to produce a formatted .xlsx file with 3 sheets:

Sheet 1 — Test Cases: TC ID | Title | Category | Preconditions | Test Steps | Expected Result | Status (blank) | Priority

Sheet 2 — Test Data: Suggested valid, invalid, and boundary values per field

Sheet 3 — Summary: Feature name, date, total count, breakdown by category and priority

Formatting Rules

  • Header row: Bold white text on dark blue (#1F4E79), frozen
  • Category column: color-coded fills per category
    • Positive → #E2EFDA (green), Negative → #FCE4D6 (red), Boundary → #FFF2CC (yellow)
    • Security → #E8D5F5 (purple), UI/UX → #DEEAF1 (blue), Regression → #FFF2CC (yellow)
  • Priority column: High → #F4CCCC, Medium → #FCE5CD, Low → #D9EAD3
  • Status column: light grey (#EEEEEE), left blank for testers
  • Font: Arial 10pt; wrap text on Test Steps and Expected Result columns
  • Row height: 50px for data rows; column widths auto-fit (Test Steps = 55, Expected = 40)
  • Thin borders on all cells
  • Sheet tab colors: blue (Test Cases), green (Test Data), grey (Summary)

Step 4 — Save & Present

  • Filename:
    test-cases-<feature-name>.xlsx
    (kebab-case)
  • Copy to
    /mnt/user-data/outputs/
  • Use
    present_files
    tool to deliver to user
  • Print a brief chat summary: total TCs generated, categories covered

Python Code Template

from openpyxl import Workbook
from openpyxl.styles import Font, PatternFill, Alignment, Border, Side
from openpyxl.utils import get_column_letter
from datetime import date

wb = Workbook()

# Sheet 1: Test Cases
ws = wb.active
ws.title = "Test Cases"
ws.sheet_properties.tabColor = "1F4E79"

HEADERS = ["TC ID","Title","Category","Preconditions","Test Steps","Expected Result","Status","Priority"]
HEADER_FILL = PatternFill("solid", fgColor="1F4E79")
HEADER_FONT = Font(bold=True, color="FFFFFF", name="Arial", size=10)
DATA_FONT   = Font(name="Arial", size=10)
THIN        = Side(style="thin")
BORDER      = Border(left=THIN, right=THIN, top=THIN, bottom=THIN)

CAT_FILLS = {
    "Positive":   "E2EFDA", "Negative": "FCE4D6", "Boundary": "FFF2CC",
    "Security":   "E8D5F5", "UI/UX":    "DEEAF1", "Regression": "FFF2CC",
}
PRI_FILLS = {"High": "F4CCCC", "Medium": "FCE5CD", "Low": "D9EAD3"}

for col, h in enumerate(HEADERS, 1):
    c = ws.cell(row=1, column=col, value=h)
    c.font, c.fill, c.border = HEADER_FONT, HEADER_FILL, BORDER
    c.alignment = Alignment(horizontal="center", vertical="center", wrap_text=True)
ws.freeze_panes = "A2"
ws.row_dimensions[1].height = 30

# --- Replace test_cases with actual generated data ---
test_cases = [
    # (tc_id, title, category, preconditions, steps, expected, priority)
]

for r, (tc_id, title, cat, pre, steps, exp, pri) in enumerate(test_cases, 2):
    row = [tc_id, title, cat, pre, steps, exp, "", pri]
    ws.row_dimensions[r].height = 50
    for col, val in enumerate(row, 1):
        c = ws.cell(row=r, column=col, value=val)
        c.font, c.border = DATA_FONT, BORDER
        c.alignment = Alignment(vertical="top", wrap_text=True)
        if col == 3 and cat in CAT_FILLS:
            c.fill = PatternFill("solid", fgColor=CAT_FILLS[cat])
        elif col == 7:
            c.fill = PatternFill("solid", fgColor="EEEEEE")
            c.alignment = Alignment(horizontal="center", vertical="top")
        elif col == 8 and pri in PRI_FILLS:
            c.fill = PatternFill("solid", fgColor=PRI_FILLS[pri])
            c.alignment = Alignment(horizontal="center", vertical="top")

for i, w in enumerate([10,30,14,28,55,40,12,10], 1):
    ws.column_dimensions[get_column_letter(i)].width = w

# Sheet 2: Test Data
ws2 = wb.create_sheet("Test Data")
ws2.sheet_properties.tabColor = "70AD47"
for col, h in enumerate(["Field / Parameter","Valid Values","Invalid Values","Boundary Values","Notes"], 1):
    c = ws2.cell(row=1, column=col, value=h)
    c.font, c.fill, c.border = HEADER_FONT, HEADER_FILL, BORDER
    c.alignment = Alignment(horizontal="center", vertical="center")
ws2.freeze_panes = "A2"
# Add test data rows here

# Sheet 3: Summary
ws3 = wb.create_sheet("Summary")
ws3.sheet_properties.tabColor = "808080"
from collections import Counter
cat_counts = Counter(tc[2] for tc in test_cases)
pri_counts = Counter(tc[6] for tc in test_cases)

summary_rows = [
    ("Feature / Module", "<feature name>"),
    ("Date Generated", str(date.today())),
    ("Total Test Cases", len(test_cases)),
    ("", ""),
    ("By Category", "Count"),
] + [(k, v) for k, v in cat_counts.items()] + [
    ("", ""),
    ("By Priority", "Count"),
] + [(k, v) for k, v in pri_counts.items()] + [
    ("", ""),
    ("Note", "Fill 'Status' column with: Pass / Fail / Blocked / N/A"),
]
for r, (label, val) in enumerate(summary_rows, 1):
    ws3.cell(row=r, column=1, value=label).font = Font(bold=True, name="Arial", size=10)
    ws3.cell(row=r, column=2, value=val).font   = Font(name="Arial", size=10)
ws3.column_dimensions["A"].width = 22
ws3.column_dimensions["B"].width = 35

wb.save("test-cases-feature.xlsx")

Priority Guide

  • High — Core functionality; product is unusable without this
  • Medium — Important but a workaround exists
  • Low — Edge case, cosmetic, or nice-to-have

Tips for Best Results

  • More context = better coverage. Share acceptance criteria or system constraints if available.
  • Mention the tech stack if relevant (REST API, mobile app, web form, etc.).
  • Ask for a specific category if needed — e.g. "only security test cases".
  • Multiple features? Mention all — each gets its own labelled section in the sheet.