skill-model-checker
Research and develop semantic theories using ModelChecker with Z3 SMT solver. Define operators, adjust frame constraints, create examples, run tests, and report findings. Invoke with /mc or when working with model-checker, semantic theories, or Z3 constraints.
npx skills add majiayu000/claude-skill-registry --skill skill-model-checker-benbrastmckie-modelchecker-2 --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.
# ModelChecker Research Skill Comprehensive skill for developing and testing modular semantic theories using the ModelChecker framework with Z3 SMT solver. ## Trigger Conditions This skill activates when: - User invokes `/mc` command - Working with semantic theories (logos, exclusion, imposition, bimodal) - Defining or modifying operators - Creating or adjusting frame constraints - Writing model-checker examples - Running theory tests - Analyzing countermodels or theorem results ## Context Loading Load these context files as needed during skill execution: ### Core ModelChecker Context (Always Load) - @.claude/context/project/modelchecker/architecture.md - System architecture and package structure - @.claude/context/project/modelchecker/theories.md - Theory library overview (logos, exclusion, imposition, bimodal) - @.claude/context/project/modelchecker/z3-patterns.md - Z3 solver patterns and best practices ### Domain Context (Load When Relevant) - @.claude/context/project/logic/domain/kripke-semantics-overview.md - Modal semantics background ### Installation Context (Load for Troubleshooting) - @.claude/context/project/modelchecker/installation.md - Installation and CLI usage ## Sub
- Trigger Conditions
- Context Loading
- Core ModelChecker Context (Always Load)
- Domain Context (Load When Relevant)
- Installation Context (Load for Troubleshooting)
- Sub-Commands
- Quick Start
- Running the Model Checker
- Running Tests
- Operator Definition Workflow
- When to Use
- Theory Structure
- Operator Class Template
- Operator Registration
Development CLI (recommended) cd Code && ./dev_cli.py examples/my_example.py Installed package model-checker examples.py # Basic run model-checker examples.py --maximize # Compare theories model-checker examples.py --save # Export results All tests Specific theory With coverage Specific test file
What does the skill-model-checker skill do?
Research and develop semantic theories using ModelChecker with Z3 SMT solver. Define operators, adjust frame constraints, create examples, run tests, and report findings. Invoke with /mc or when working with model-checker, semantic theories, or Z3 constraints.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill skill-model-checker-benbrastmckie-modelchecker-2 --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 majiayu000/claude-skill-registry, a repository with 534 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.