reflect

Detect, categorize, and encode conversation learnings into agent files with approval.

Updated Apr 10, 2026

Search Tags:#workflow #feedback #self-improvement #learning #agents #version-control #reflect

Ready to run

npx skills add https://github.com/stevengonsalvez/nanoclaw-standalone --skill reflect-stevengonsalvez

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: reflect
Source: https://github.com/stevengonsalvez/nanoclaw-standalone/tree/main/container/skills/reflect
Command: npx skills add https://github.com/stevengonsalvez/nanoclaw-standalone --skill reflect-stevengonsalvez

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Reflect provides a structured mechanism to detect, categorize, and encode learnings from conversations and user corrections, ensuring improvements persist across sessions.

Core Features & Use Cases

Signal detection with confidence levels
Automatic categorization to targeted agent files
Proposes updates and new skills with human-in-the-loop approval
Versioning and rollback support for changes

Quick Start

Tell Reflect to review today's conversation and extract actionable learnings for agent updates.

Frequently Asked Questions about reflect

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

FAQPage Schema

How do I make agent improvements persist across future sessions?▼

To make agent improvements persist across sessions, you can encode learnings from conversations into agent files. Reflect detects user corrections and categorizes them for permanent updates.

What is the best way to extract actionable learnings from agent conversations?▼

Extracting actionable learnings involves applying signal detection to identify corrections during conversations. You can review discussions to automatically categorize and propose updates to targeted agent files.

How does human-in-the-loop approval work for agent self-improvement?▼

Human-in-the-loop approval for self-improvement requires explicit consent before applying changes. The system proposes updates and new skills, but you must manually approve modifications to ensure safety and maintain traceability.

Can I rollback agent behavior changes if a learning update causes issues?▼

You can rollback agent behavior changes using versioned guardrails. The system maintains versioning and logging for all proposed updates, ensuring you can safely revert modifications if they cause issues.

Does signal detection for agent feedback require manual setup?▼

Signal detection for agent feedback does not require manual setup to function. It automatically identifies corrections with confidence levels during conversations, categorizing them to targeted agent files.

When should I not use automated agent feedback encoding?▼

You should not use automated agent feedback encoding if your workflow lacks a human-in-the-loop approval step. The system requires explicit human approval to maintain safety and ensure changes are traceable.