constraint-satisfaction-solver
Constraint programming skill for scheduling, configuration, and assignment problems
npx skills add a5c-ai/babysitter --skill constraint-satisfaction-solver --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Constraint Satisfaction Solver ## Overview The Constraint Satisfaction Solver skill provides capabilities for solving constraint satisfaction problems (CSPs) and constraint optimization problems (COPs). It excels at scheduling, configuration, assignment, and combinatorial problems where finding feasible solutions is as important as optimization. ## Capabilities - Variable and domain definition - Constraint specification (global constraints) - Solution search strategies - Optimization with constraints - Scheduling constraint handling - Configuration problem solving - All-solutions enumeration - Constraint propagation explanation ## Used By Processes - Prescriptive Analytics and Optimization - Resource Scheduling - Operational Decisions ## Usage ### Problem Definition ```python # Define CSP csp_problem = { "name": "Employee Scheduling", "variables": { "shift_mon_morning": {"domain": ["Alice", "Bob", "Carol", "David"]}, "shift_mon_afternoon": {"domain": ["Alice", "Bob", "Carol", "David"]}, "shift_tue_morning": {"domain": ["Alice", "Bob", "Carol", "David"]}, "shift_tue_afternoon": {"domain": ["Alice", "Bob", "Carol", "David"]}, # ... more shifts }, "constraints": [ { "type": "all_dif
- Overview
- Capabilities
- Used By Processes
- Usage
- Problem Definition
- Scheduling Constraints
- Configuration Problem
- Global Constraints
- Input Schema
- Output Schema
- Search Strategies
- Best Practices
- Integration Points
What does the constraint-satisfaction-solver skill do?
Constraint programming skill for scheduling, configuration, and assignment problems
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill constraint-satisfaction-solver --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.