rethink

Synthesize accumulated observations into structured evolution proposals for human review.

Updated Apr 26, 2026
One-click install
npx skills add https://github.com/kinnerkarmanish/mak --skill rethink-kinnerkarmanish
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: rethink
Source: https://github.com/kinnerkarmanish/mak/tree/main/library/skills/learning/rethink
Command: npx skills add https://github.com/kinnerkarmanish/mak --skill rethink-kinnerkarmanish

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Synthesizes accumulated observations into actionable system evolution proposals, ensuring changes are reviewed before implementation and reducing ad-hoc fixes.

Core Features & Use Cases

  • 5-phase rethink workflow: triage, methodology updates, pattern detection, proposal generation, and human approval.
  • Triggers on observation accumulation in /remember and can generate proposals for specific categories.
  • Prevents auto-implementation, preserving human oversight.

Quick Start

Provide a category to rethink, e.g., /rethink 'process', to generate proposals for review.

Frequently Asked Questions about rethink

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate system evolution proposals from accumulated observations?▼

To generate system evolution proposals, trigger a five-phase workflow that synthesizes accumulated observations from /remember into concrete, reviewable proposals requiring human approval before implementation. You can target specific categories like /rethink 'process'.

What is the workflow for turning categorized observations into actionable system changes?▼

The workflow for turning observations into system changes involves five phases: triage, methodology updates, pattern detection, proposal generation, and human approval. It prevents auto-implementation to preserve human oversight and reduce ad-hoc fixes.

Can I configure the analysis depth and thresholds for pattern detection in my observations?▼

Yes, you can configure analysis depth and thresholds for pattern detection. The workflow applies configurable thresholds across categorized observations in /remember to synthesize structured evolution proposals.

How do I ensure human approval is enforced before system changes are implemented?▼

Human approval is enforced during the final phase of the workflow. The system generates concrete, reviewable proposals but prevents auto-implementation, ensuring all system changes require explicit human approval before proceeding.

Does this approach work for synthesizing observations across specific categories?▼

Yes, it works for specific categories. You can provide a category to rethink, such as /rethink 'process', to generate targeted proposals. The workflow triggers on observation accumulation in /remember and processes categorized data.

What are the limitations of using automated proposal generation for system evolution?▼

The main limitation is that generated proposals cannot auto-implement changes; they strictly require human approval. Additionally, the workflow relies on accumulated observations in /remember, meaning insufficient or poorly categorized data may limit proposal quality.