ai-problem-framing
CommunityFrame fuzzy prompts into actionable AI tasks.
Education & Research#workflow#verification#ai#decomposition#framing#problem-framing#instruction-design
Authorleobessa
Version1.0.0
Installs0
System Documentation
What problem does it solve?
AI work often starts from vague intents that lead to inconsistent results. This skill provides a structured approach to turn fuzzy prompts into explicit objectives, constraints, and success criteria, enabling reliable and repeatable AI delegation.
Core Features & Use Cases
- Framing framework: explicit objectives, constraints, and success criteria to guide AI work.
- Problem decomposition: map complex tasks into manageable sub-tasks with clear ownership.
- Human-vs-AI responsibility guidance: clarifies what AI can do and what humans must own.
- Use Case: frame a vague product prompt into a concrete research plan for a teammate.
Quick Start
Frame a vague prompt into a formal problem statement with explicit objectives, constraints, and success criteria.
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: ai-problem-framing Download link: https://github.com/leobessa/claude-plugins-ai-fluency/archive/main.zip#ai-problem-framing Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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