reflect

Ground agent conclusions in observable evidence with structured reflection steps.

8|Updated Feb 2, 2026
One-click install
npx skills add https://github.com/usurobor/cnos --skill reflect-usurobor
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: reflect
Source: https://github.com/usurobor/cnos/tree/main/src/packages/cnos.core/skills/agent/reflect
Command: npx skills add https://github.com/usurobor/cnos --skill reflect-usurobor

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Ground agent conclusions in observable evidence to prevent self-deception and ensure reasoning stays aligned with reality.

Core Features & Use Cases

  • Evidence → Interpretation → Conclusion workflow to maintain coherence between what happened, what it means, and what to do next.
  • Cadence-driven reflections (daily, weekly, monthly) to capture patterns and improve over time.
  • Clear actionability (MCA/MCI) with explicit ownership to drive concrete improvements.

Quick Start

Prompt the model to record observed evidence, derive interpretation, and conclude with a concrete action.

Frequently Asked Questions about reflect

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

FAQPage Schema
How do I ground agent conclusions in observable evidence to prevent self-deception?

Structured reflection requires observing concrete evidence, interpreting its meaning, and producing a concrete next-step action anchored by that evidence to maintain reasoning aligned with reality.

What is the best way to run a post-task review that connects evidence to concrete actions?

A structured reflection workflow captures observed evidence, derives interpretation, and concludes with a concrete action to drive continuous improvement and ensure accountability.

How do I set up cadence-driven reflections for daily, weekly, or monthly continuous improvement?

Cadence-driven reflections apply the evidence, interpretation, and action workflow at daily, weekly, or monthly intervals to capture patterns and drive continuous improvement over time.

Can I use structured retrospection for ongoing decision logs?

Structured retrospection is fully applicable to ongoing decision logs, ensuring each entry observes evidence, interprets meaning, and produces a concrete next-step anchored by that evidence.

What does MCA mean in the context of self-evaluation and accountability?

In self-evaluation, MCA represents a concrete next-step action with explicit ownership, produced as the final step of the reflection workflow to drive clear actionability.

Why does my decision-making lose coherence between interpretation and observable evidence?

Decision-making loses coherence when interpretations are not grounded in observable evidence, a problem solved by structured reflection steps that explicitly anchor conclusions to what happened.