How does the Frame skill improve decision quality?

It forces the AI to evaluate a problem through multiple distinct lenses simultaneously, highlighting areas of convergence and critical divergence that a single-perspective analysis might miss.

Does this skill create multiple agents?

Yes, in 'inquire' mode, the skill uses a TeamCreate function to spawn a parallel team of agents, each assigned a specific perspective to research and report on.

What is a 'Framework Absent' situation?

A 'Framework Absent' situation occurs when you have a clear purpose or goal but are unsure of the specific analytical approach or perspective required to solve the problem.

When should I use Prothesis instead of a normal prompt?

Use it for high-stakes, complex tasks where avoiding bias and ensuring comprehensive coverage of all possible angles is more important than speed.

Multi-Perspective Frame

Name: Multi-Perspective Frame
Author: jongwony

byjongwony

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Productivity & Workflow

Orchestrates multi-perspective investigations by assembling specialized AI teams to analyze complex problems through diverse analytical lenses.

The Frame skill (Prothesis) is an epistemic protocol designed for situations where a user has a clear goal but lacks a specific analytical framework or perspective to approach it. It bridges this 'Framework Absent' gap by identifying relevant viewpoints, allowing the user to select preferred lenses, and then spawning a dedicated team of AI agents to perform a parallel, structured inquiry. By synthesizing convergence and divergence across different perspectives, it ensures high-quality human-AI interaction and rigorous decision-making at every stage of the development process.

Key Features

01Mission Brief Validation: Explicitly confirms intent, scope, and deliverables before initiating deep cognition.

02Multi-Agent Orchestration: Spawns a parallel team of AI agents, each operating under a distinct epistemic perspective.

03Dynamic Routing: Provides flexible post-synthesis options to extend the inquiry, add new inputs, or wrap up findings.

04Structured Synthesis: Integrates findings from multiple perspectives into a coherent report highlighting agreement and conflict.

05Framework Discovery: Identifies optimal analytical lenses when the inquiry approach is underspecified.

0688 GitHub stars

Use Cases

01Conducting comprehensive code audits or reviews using multiple specialized expert personas.

02Investigating system failures or vague bug reports through diverse technical and operational lenses.

03Analyzing complex architectural trade-offs from security, performance, and scalability viewpoints.

Key Features

01Mission Brief Validation: Explicitly confirms intent, scope, and deliverables before initiating deep cognition.

02Multi-Agent Orchestration: Spawns a parallel team of AI agents, each operating under a distinct epistemic perspective.

03Dynamic Routing: Provides flexible post-synthesis options to extend the inquiry, add new inputs, or wrap up findings.

04Structured Synthesis: Integrates findings from multiple perspectives into a coherent report highlighting agreement and conflict.

05Framework Discovery: Identifies optimal analytical lenses when the inquiry approach is underspecified.

0688 GitHub stars

Use Cases

01Conducting comprehensive code audits or reviews using multiple specialized expert personas.

02Investigating system failures or vague bug reports through diverse technical and operational lenses.

03Analyzing complex architectural trade-offs from security, performance, and scalability viewpoints.