Decision Frameworks
CommunityMake optimal AI decisions, balance factors, plan effectively.
Software Engineering#decision making#autonomous agents#prioritization#trade-offs#AI planning#risk analysis#user preferences
Authorbejranonda
Version1.0.0
Installs0
System Documentation
What problem does it solve? This Skill equips Group 2 AI agents with robust methodologies for evaluating recommendations, incorporating user preferences, and creating optimal execution plans. It ensures well-reasoned and effective autonomous decisions, leading to better outcomes.
Core Features & Use Cases:
- Recommendation Evaluation Matrix: Scores Group 1 recommendations based on confidence, user alignment, historical success, and risk.
- Multi-Criteria Decision Analysis (MCDA): Helps choose between competing recommendations by weighting criteria like quality impact, effort, and risk.
- Risk-Benefit Analysis: Categorizes decisions into "quick win," "high value/high risk," or "never do" based on potential gains and risks.
- User Preference Integration: Quantifies how well recommendations align with user preferences and adjusts plans accordingly.
- Use Case: When presented with multiple refactoring options, this skill uses MCDA to weigh quality impact, effort, and user preferences, then generates an incremental execution plan for the chosen approach, ensuring alignment with project goals.
Quick Start: Explain the "Recommendation Evaluation Matrix" and its scoring formula, including the four key components.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Decision Frameworks Download link: https://github.com/bejranonda/LLM-Autonomous-Agent-Plugin-for-Claude/archive/main.zip#decision-frameworks Please download this .zip file, extract it, and install it in the .claude/skills/ directory.