Shift Scheduler: Claude Skill for Staff Schedules

Manual staff scheduling is a high-entropy constraint puzzle. Managers often waste hours balancing availability, labor laws, and overtime, only to accidentally double-book a barista or violate a rest-period rule. This skill replaces manual guesswork with a Python-based optimization engine that solves for every constraint simultaneously. It ensures you never schedule a "clopen" with under 10 hours of rest or exceed a part-timer's hour cap.

What it does

• Automated optimization uses a simulated annealing solver to fill shifts based on role qualifications and priority.
• Constraint enforcement strictly honors availability windows, maximum weekly hours, and rest-between-shift rules.
• Fairness balancing distributes weekend shifts across the team and respects individual worker preferences.
• Conflict diagnostics provides a detailed report explaining exactly why specific slots remain unfilled.
• Multi-format export generates printable HTML schedules, CSV files for payroll, and individual .ics calendar files for staff.

How it works

1. Input gathering where you feed the agent raw shift requirements, staff roles, wages, and availability windows.
2. JSON generation that translates your business requirements into a structured schema for the optimization engine.
3. Solver execution using the internal Python script to find the most cost-effective and compliant roster.
4. Validation and reporting to verify all hard rules were met before presenting the final schedule and files.

Frameworks & tools

The solver is built with pure Python and requires no external dependencies. It uses a custom optimization engine (roster.py) to process JSON-based shift and staff data.

Why this beats prompting it yourself

Language models are notorious for "hallucinating" schedules that look correct but contain subtle rule violations, like double-booking staff or ignoring hour caps. This skill uses the LLM as an interface for a deterministic Python solver, guaranteeing that every output is mathematically verified against your hard constraints.

Use cases

• Hospitality management for balancing kitchen and floor staff across breakfast, lunch, and dinner rushes.
• Retail operations to ensure adequate floor coverage while minimizing overtime during holiday peaks.
• Clinic or salon scheduling where specific roles and certifications are required for every open slot.
• Warehouse logistics for managing large teams with varying availability and strict safety rest requirements.

Known limitations

Overtime calculations are weekly only and do not account for daily overtime laws. ICS calendar files do not include time zone metadata. Not suitable for teams exceeding 50 people in a single weekly roster.