Taste

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

Ringg Voice Agent

Integrate Ringg AI voice agents with OpenClaw for making, receiving, and managing phone calls powered by Ringg's Voice OS. Use this skill when the user wants to: (1) make outbound voice calls via Ringg AI agents, (2) trigger Ringg AI campaigns from OpenClaw, (3) check call status or retrieve call history/analytics from Ringg, (4) manage Ringg AI assistants (list, create, update), (5) connect OpenClaw to Ringg's voice platform for automated phone interactions like lead qualification, feedback col

Memory Analyzer

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

Study Buddy

AI-powered learning companion for creating personalized study plans, tracking progress, and providing feedback. Use when user wants to start learning somethi...

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.,...

Feedback Learning

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

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...

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...

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...

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

Creativity

Generate novel ideas calibrated to user taste. Auto-learns preferred styles, risk levels, and creative directions through feedback.

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

Bar Exam

Assist US Bar Exam prep with adaptive MBE practice, essay feedback using IRAC, performance task simulation, progress tracking, and jurisdiction-specific plan...

Learning Evolution

Track, analyze, and evolve learning patterns from verified skill usage, user feedback, and observed outcomes. Use when planning skill improvements from real...

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...

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-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...

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,...

Self Learning Agent

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

Human Traits Learning

Enables AI to learn and model professional human traits through structured corporate training with real-time user feedback and adaptive growth collaboration.

Reflexlearn

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

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...

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...