Provides real-time, scalable machine learning predictions via API using hosted models, with automated micropayment at 0.001 USDT per call.
Get subtitles from YouTube videos for translation, language learning, or reading along. Use when the user asks for subtitles, subs, foreign language text, or wants to read video content. Supports mult
Adapts OpenClaw agents by learning user interaction patterns, switching personas by context, and evolving personality weekly.
AI-powered YouTube video scoring. Scores videos 1-10 based on your learning goals and persona. Use when the user wants to evaluate YouTube videos, check their scored feed, manage tracked channels, or
Extract multilingual document content and language learning notes (French, German, Japanese, Spanish, etc.) from PDFs using multimodal vision (Qwen-VL-Max)....
Automates training of machine learning models like Random Forest and XGBoost with hyperparameter tuning and export options from provided datasets.
Skill for AI agents to setup the Potato Tipper on a Universal Profile on LUKSO (requires private key), and learn to build innovative tip-on-follow solutions.
Guides development of KET (A2 Key for Schools) exam preparation and English learning applications. Supports both English beginners (Pre-A1, A1) and KET prep learners. Use when building listening, spea
Structured retrospectives and execution-memory hygiene for OpenClaw agents. Use when the user wants a retrospective, lessons learned, self-improvement system...
Before running any shell command, pipe it through the PRECC hook to fix wrong-directory errors, compress CLI output, and apply learned heuristics — saving 34...
Test-driven behavioral verification for AI agents. Catches silent degradation when agent loads memory but doesn't apply learned behaviors. Use when building agent with persistent memory, testing after
LLM Token Optimizer - Reduce AI API costs by 60-90%. Compresses CLI outputs (git, docker, kubectl) before sending to GPT-4/Claude. AI auto-learning included. By Buba Draugelis 🇱🇹
One-command bootstrap for new OpenClaw installations. Sets up workspace files, self-evolution system (.learnings + hooks + crons), and community skills. Use...
--- name: os-activity description: Personalize your openclaw by learning your operating system activity. metadata: "openclaw": { "requires": { "bins": ["python"] }, } --- # OS Activ
Orchestrates multi-agent task delegation and workflows with audit logging, checkpoint approvals, and agent learning for coordinated project execution.
Auto-learns your visual preferences. Adapts to UI, graphics, video, and any creative work.
Auto-learns your sleep patterns. Absorbs data from wearables, conversations, and observations.
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
WebSocket data receiver skill for learning and practice. Supports auto-reconnect, batch processing, and AI analysis.
Support chemistry learning from kitchen experiments to molecular research.
Privacy-first menstrual cycle tracking. Auto-learns periods, symptoms, and patterns.
Plan, track, and learn from complex multi-step tasks. Decomposes requests into dependency-aware subtasks with parallel execution, progress tracking, and a le...