A fully local machine learning engine that makes your OpenClaw agent smart over time — without ever calling home, revealing your machine ID, or exposing any...

Fluent English conversation partner for B1 level learners

Automated soul synthesis for AI agents. Extracts identity from memory files, promotes recurring patterns to axioms (N>=3), generates SOUL.md with full proven...

Auto-learns how you learn best. Adapts teaching style, format, and depth to you.

Noktasist için sürekli öğrenme ve kendini geliştirme skill'i

Self-learning system for crypto trading. Logs trades with full context (indicators, market conditions), analyzes patterns of wins/losses, and auto-updates trading rules. Use to log trades, analyze performance, identify what works/fails, and continuously improve trading accuracy.

Midas Skill — Turn Your Repeated Orders Into Gold. A self-learning wealth extraction engine that takes the mundane, repetitive information streams of your da...

Deep self-learning coach for AI agents. Use when the user wants guided self-learning, mode selection for quick/standard/deep study, deeper business learning,...

Business self-learning coach for AI agents, with Feishu Miaoda/OpenClaw-specific delivery rules when running in Feishu. Use when the user wants to learn a bu...

Indexed by skills.sh from kulaxyz/self-learning-skills

Self-improving learning loop inspired by Hermes Agent. Automatically extracts successful workflows, creates skills, and persists knowledge across sessions.

Continuous self-improvement through systematic logging, pattern detection, and behavioral updates. Use when: the owner corrects you, a task fails, you discov...

Persistent memory and self-improvement for AI agents — writes and refines its own memory files over time.

Help users learn skills faster, retain knowledge longer, and apply it effectively using evidence-based strategies and structured learning phases.

Continuously identify knowledge gaps, proactively learn and apply new skills, regularly review progress, and iteratively improve technical and project abilit...

Knowledge card memory system with semantic search. Agents wake up fresh each session but remember everything through atomic ~350-token cards with YAML frontm...

MiniMax Agent self-evolution system with 5-layer memory for continuous learning, error analysis, and persistent personalized context management.

Dual-value learning system - extracts reusable mental models from books, writes individual pattern files (patterns/{id}.md) with YAML frontmatter for buildin...

Daily cognitive training, dream review, dream-scene narration, and self-improvement loop for OpenClaw, Hermes, Codex, Claude Code, and other AI agents. Use w...

A privacy-first, consent-based self-improvement skill for AI agents. Captures learnings, errors, best practices with auto-sanitization and duplicate detectio...

Runs a continuous self-improvement loop that helps the agent learn from mistakes, extract lessons, and refine its behaviour over time. Use when the user says...

Self-Improvement Engine - AI Agent that learns from mistakes and continuously improves. No more repeating the same errors.

Capture errors, corrections, knowledge gaps, better practices, and feature requests in `.learnings/`, then distill proven recurring patterns into `.learnings...

REFINE is an adaptive skill engine for structured session diagnostics. Use this skill when a user explicitly requests: logging error patterns across sessions...

Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...

Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...

Self-iteration and feedback learning engine for AI agent skills. Tracks usage logs, detects performance patterns, triggers skill updates, and proposes new sk...

Organic personality development through self-observation with lightweight reliability guards. Teaches agents to grow authentic identity over time by combinin...

Self-improving AI memory system with intelligent context injection and adaptive learning

Agent memory and self-improvement system. Replaces naive file-based agent memory with a structured SQLite learning engine: capture corrections, errors, and r...

Coordinates learning signals, pattern promotion, and stage management for self-improving memory. Monitors corrections and preferences to identify emerging pa...

Holistic life satisfaction and balance optimization across health, relationships, work, finances, learning, leisure, and personal growth. Use for life audit,...

Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...

Per-agent feedback loop for OpenClaw — captures corrections/errors/features, detects patterns per agent workspace, notifies via per-agent channel bot, and ex...

Structured self-improvement system for AI agents with confidence decay, cross-agent sharing, and anomaly detection. Use when: (1) After debugging sessions to...

Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use befo...

Self-evolution system for OpenClaw agents. Enables continuous learning through mistake tracking, experience distillation, skill improvement queues, and autom...

Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use befo...

Production-grade autonomous self-improvement system with research-backed meta-learning, safe self-modification, and continuous optimization. Based on AI safe...

Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...

Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...

Complete self-improvement system for AI agents. Implements a four-layer memory architecture with continuous learning, experimentation, and autonomous file ma...

Autonomous AI memory and self-learning system that logs, extracts lessons, verifies improvements, adapts behavior, manages preferences, and generates reusabl...

Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use befo...

Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use befo...

Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use befo...

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...

Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use befo...

Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...

Continuous self-improvement through learning from corrections and task self-evaluation. Use when: (1) User corrects the agent (No that is wrong, Actually, I...

Production-grade autonomous self-improvement system with research-backed meta-learning, safe self-modification, and continuous optimization. Based on AI safe...

Build a self-evolving memory & learning system for your AI assistant on OpenClaw — 三层记忆架构 + 自进化体系 + 模板文件

Meta-cognitive self-learning system - Automated skill evolution based on predictive coding and value-driven mechanisms.

Meta-cognitive self-learning system - Automated skill evolution based on predictive coding and value-driven mechanisms.

Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...

Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...

Self-reflection + Self-criticism + learning from corrections. Agent evaluates its own work, catches mistakes, and improves permanently.

Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use befo...

Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...

Enhanced self-improvement skill with FULL chat logging (text+images), smart memory compaction, automatic pattern recognition, context-aware learning, multi-s...

Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...

Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...

Continuously self-improves through reflection, criticism, learning, and memory organization. Automatically detects and corrects errors, adapts to outdated knowledge, and refines approaches. Activates on command failures, user corrections, knowledge gaps, better methods, or exp…

Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...

Universal self-improving AI agent framework. Keywords: self-improving AI agent self-correction continuous learning self-correction self-healing memory persis...

Sig Botti's self-improvement tracking system. Use when (1) learning something new, (2) noticing a gap in capabilities, (3) completing a self-improvement task...

Build a goal-driven self-learning loop for OpenClaw and coding agents. Use when the agent should not only log mistakes, but diagnose capability gaps, maintai...

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

NVDINOv2 for self-supervised visual representation learning. Trains vision transformers via self-distillation (teacher-student) without labels and produces general-purpose visual features. Use when training, exporting, or running inference for a TAO NVDINOv2 backbone. Trigger …

Installs 5 essential tools that make your AI agent smarter over time — reflection, proactivity, learning, memory, and skill extraction. Your agent improves w...

Structured learning pipeline with quality-gated promotion. Captures corrections, errors, and patterns — promotes only what proves itself through recurrence.

Global, namespaced learning memory for OpenClaw. Use when users correct output, set stable preferences, ask what was learned, ask for memory stats, or reques...

Log corrections, errors, feature requests, and recurring patterns into structured workspace learning files, then promote stable patterns into tiered memory a...

Log corrections, errors, feature requests, and recurring patterns into structured workspace learning files, then promote stable patterns into tiered memory a...

Generates a daily structured summary of AI learning activities by integrating InStreet, ClawHub discoveries, skill usage, and lessons learned into dated mark...

Adaptive language learning system with placement tests, structured weekly curricula, vocabulary spaced repetition, grammar lessons, pronunciation coaching, c...

AI language tutor for learning ANY language through conversation, vocab drills, grammar lessons, flashcards, and immersive practice. Use when the user wants to: learn a new language, practice vocabulary, study grammar, do flashcard drills, translate phrases, practice conversat…

Learning growth coach for human skills. Input a skill goal, practice logs, constraints, and recent results; output bottleneck diagnosis, deliberate-practice...

Learning optimizer - analyze study patterns, identify inefficiencies, suggest optimizations for better learning outcomes

Multilingual Learning Sprint is an adaptive language-learning coach for rapid, interest-based plans across English, Japanese, Chinese, Spanish, French, Korea...

RootCraft Learning System - An integrated learning methodology combining First Principles Thinking, Taxonomy-Based Classification, Feynman Technique, and Rec...

Track learning across topics like an RPG skill tree. Prerequisites, milestones, suggested next steps. Gamified learning path.

AI Assistant specializing in machine learning and deep learning.

Metric-learning recognition (ml-recog) for fine-grained visual recognition. Learns embeddings for retrieval-based matching (e.g., retail product recognition) using triplet / contrastive losses. Use when training, evaluating, exporting, or running inference for a TAO metric-lea…

Lightweight self-improvement loop for AI agents. Capture errors, corrections, and discoveries in a fast one-line format, dedup them, queue recurring or criti...

Masked Auto-Encoder (MAE) for self-supervised pretraining and fine-tuning. Masks random patches and reconstructs them to learn visual representations; supports pretrain and finetune stages. Use when training, evaluating, exporting, or running inference for a TAO MAE backbone. …

Use when user asks about Agent architecture, design, or how an Agent works. Two-layer teaching: Layer 1 explains Agent concepts (agent loop, tool calling, me...

Stop making the same mistakes — turn failures into patterns that prevent recurrence

This skill should be used when the user asks to "record what we learned", "save lessons", "knowledge capture", "reflect on what happened", "write down experi...

For everyone who's ever pasted a command and hoped for the best. Navigator reads what you just did, tells you if it worked correctly, finds the one gap slowi...

Detect and recover from context resets, memory/index outages, and cache clears with deterministic, trust-preserving reconstruction. Use when continuity break...

Create adaptive learning flashcard apps from course materials (URLs, PDFs, or folders). Uses FSRS (Free Spaced Repetition Scheduler) and Bayesian Knowledge T...

World-Class Adaptability & Learning Playbook. Use for: market trend awareness, horizon scanning, PESTLE analysis, organisational agility, Kaizen, PDCA cycles...

build interactive algorithm learning pages, comparison pages, and reusable teaching platforms for algorithms. use when chatgpt needs to plan, route, structur...

Orchestrates the continuous learning of new skills from arXiv papers. Use this to trigger a learning cycle, which fetches papers, extracts code/skills, and s...

Conducts video analysis of learning behavior for children/students, identifies poor learning habits, provides structured analysis reports and family educatio...

Activate when: user says 'I used to love this but don't anymore', 'I feel like I've stopped learning', 'I go through the motions but nothing excites me', 'ho...

Intrinsic curiosity-driven continuous learning: detect gaps between expected and actual results, treat them as curiosity signals, and update skills according...

Standardized daily learning framework for AI agents. Unified workflow: study a topic → write notes to local workspace → ingest to shared knowledge base (opti...

Autonomous Buddhist learning skill with web search, local Dharma database, and Middle Way view. Dedicated to the long lives of HH Dalai Lama and Khen Rinpoch...