Create interactive KPI dashboards for construction projects. Track schedule, cost, quality, and safety metrics in real-time.
SkillScore100Maintained
Automatic
◆Project Management pack
Last verified 8/22/2026
What it changes
Passed 22 of 22 test cases with the skill, and 15 of 22 without it.
Without skill68%
With skill100%
Checks it passed that the model alone missed
Uses KPIStatus enum values for health statuses.
Assigns AT_RISK status when incident count is 2.
Calls calculate_cost_kpis on the dashboard instance.
and 12 more in the full report
7 fixed15 passed either way0 still failing0 broke
Pass-rate lift
+32 pp
Tokens
+194%
Agent turns
0%
Response time
-40%
Model gemini-3.6-flashMeasured 8/22/2026v122 of 22 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 7
Prompt
I am configuring a construction project tracking object with $5,000,000 budget for project code 'PRJ-100' running from 2024-01-01 to 2024-12-31. Which dataclass in the Python construction KPI dashboard module holds these configuration parameters, and what is its default refresh interval in minutes?
What was checked, without and with the skill
Checked
Without skill
With skill
Identifies DashboardConfig as the configuration dataclass.
Missed
Passed
Specifies 15 minutes as the default refresh interval.
Passed
Passed
case-04 · gemini-3.6-flash · 8/22/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md483 linessingle file
Project KPI Dashboard
Business Case
Problem Statement
Project stakeholders struggle with:
Scattered data across multiple systems
Delayed reporting on project health
No real-time visibility into KPIs
Inconsistent metric definitions
Solution
Centralized KPI dashboard that aggregates data from multiple sources and presents key metrics with drill-down capabilities.
Business Value
Real-time visibility - Live project health status
Data-driven decisions - Actionable insights
Stakeholder alignment - Single source of truth
Early warning - Proactive issue detection
Technical Implementation
import pandas as pd
from datetime import datetime, date, timedelta
from typing import Dict, Any, List, Optional
from dataclasses import dataclass, field
from enum import Enum
class KPIStatus(Enum):
"""KPI health status."""
ON_TRACK = "on_track"
AT_RISK = "at_risk"
CRITICAL = "critical"
UNKNOWN = "unknown"
class KPICategory(Enum):
"""KPI categories."""