Comprehensive guidance for understanding, designing, and implementing expert systems using rule-based inference, knowledge representation, and the complete development lifecycle. Use when users need help with expert system concepts, architecture design, rule-based reasoning (forward/backward chaining), knowledge acquisition, development planning, or implementation strategies.
Quickly install expert-systems AI skill to your development environment via command line
Source: bmcgauley/skills.
This skill provides comprehensive knowledge and guidance for working with expert systems - AI programs that emulate human expert decision-making in specific domains. The skill covers theoretical foundations, practical implementation strategies, and the complete development lifecycle for rule-based expert systems.
Handle uncertainty using certainty factors (CF) ranging from -1.0 to +1.0:
| Starting Point | Known facts | Desired goal | | Direction | Data → Conclusion | Goal → Supporting facts | | Search Strategy | Breadth-first | Depth-first | | Best For | Planning, monitoring, control | Diagnosis, queries, verification | | Efficiency | Good for multiple conclusions | Good for single specific goal |
Comprehensive guidance for understanding, designing, and implementing expert systems using rule-based inference, knowledge representation, and the complete development lifecycle. Use when users need help with expert system concepts, architecture design, rule-based reasoning (forward/backward chaining), knowledge acquisition, development planning, or implementation strategies. Source: bmcgauley/skills.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/bmcgauley/skills --skill expert-systemsComprehensive guidance for understanding, designing, and implementing expert systems using rule-based inference, knowledge representation, and the complete development lifecycle. Use when users need help with expert system concepts, architecture design, rule-based reasoning (forward/backward chaining), knowledge acquisition, development planning, or implementation strategies. Source: bmcgauley/skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/bmcgauley/skills --skill expert-systems Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/bmcgauley/skills