Chat

Learns communication preferences from explicit feedback. Adapts tone, format, and style.

Self-Improve

A pluggable self-improvement framework for AI agents. Automatically learns from mistakes, corrections, and feedback to continuously improve execution quality...

Truth Tutor

Diagnose why a learner does not understand a topic, paper, concept, or explanation, then deliver blunt feedback plus an actionable improvement plan. Includes...

Aoju Memory

Long-term memory, learning, and self-evolution for the agent. Activates on session start (SOUL.md/USER.md context), after significant decisions, on feedback,...

Reflexlearn

Detects repeated queries as implicit negative feedback and non-repetition as positive feedback, enabling continuous learning by writing reflections and patte...

writing-coach-pro

Analyzes your writing for grammar, style, tone, readability, and consistency while learning your preferences to improve feedback over time.

momentspost

Persuasive copy analysis for WeChat Moments. Use when users need to: (1) Evaluate the persuasiveness of WeChat Moments posts, (2) Improve conversion or engagement of social media copy, (3) Get actionable feedback on personal or business WeChat Moments content, (4) Learn what makes copy more convincing and effective

Taste

Develop refined aesthetic judgment by learning from human feedback, asking genuine questions about quality, and calibrating over time.

Memory Analyzer

Analyzes conversation history, extracts user preferences and feedback, updates memory files automatically.

Super Self Improving

超级自我优化智能体 - 多模态记忆、反馈循环、元学习、置信度校准 / Super Self-Improving Agent - Multi-modal Memory, Feedback Loops, Meta-Learning, Confidence Calibration

Learning Loop - GEARS System

Autonomous structured learning for mastering complex topics through cron-based 5-session feedback loops. Use when user wants to deeply learn a subject (e.g.,...

Self-Improving Agent (tuituitu)

Self-improvement and learning skill for the agent. Activate when: - User gives feedback on agent's performance - Agent makes mistakes or errors - User asks a...

Feedback Learning V2

Zero-LLM feedback learning system for OpenClaw agents. Detects user feedback (emoji reactions, text signals like "переделай"/"круто"), logs events, tracks po...

Auto Improver Pro

Auto-improving AI skill that learns from every execution and continuously optimizes itself. 17-minute autonomous loop with feedback collection and pattern ex...

Self Learning Agent

Helps users improve learning, thinking, execution, and retention by diagnosing issues, recommending systems, and creating actionable feedback loops.

Retrospect

Session retrospective that analyzes conversation history to produce structured feedback for both user and LLM. Use this skill whenever the user says '复盘', 'r...

English Homework Grader

Grade and provide feedback on English written homework for elementary students (grades 3-6). Use when the user submits English homework (essays, sentences, f...

Self-improvement-loop-v3

Unifies intent-engineering, execution, and feedback into an autonomous loop that detects drift, learns patterns, adjusts specs, transfers skills, and verifie...