Research & Knowledge

explainx / skill ai-agents-architect

Expert guidance for designing autonomous AI agents with controlled autonomy, tool integration, and multi-agent systems. \n \n Covers core agent patterns: ReA…

playbooks / skill ai-agents-architect skill by xfstudio/skills

This skill designs autonomous AI agents with tool use, memory, planning, and multi-agent orchestration to stay controllable and robust.

playbooks / skill ai-assistant-prompt-template-examples-templafy-hel-90af51ce skill by openclaw/skills

This skill assists you craft and edit text in Microsoft Office applications using AI prompts and best practices.

playbooks / skill ai-engineer skill by xfstudio/skills

This skill helps you design and deploy production-grade LLM apps, RAG systems, and intelligent agents with robust safety and observability.

playbooks / skill ai-humor-ultimate skill by openclaw/skills

This skill helps AI agents detect and generate contextually appropriate humor using 12 bisociation patterns with ethical gating.

playbooks / skill ai-llm-inference skill by vasilyu1983/ai-agents-public

Operational patterns for LLM inference: latency budgeting, tail-latency control, caching, batching/scheduling, quantization/compression, parallelism, and reliable serving at scale. Emphasizes production-grade performance, cost control, and observability.

explainx / skill ai-ml-data-science

This skill turns raw data and questions into validated, documented models ready for production:

playbooks / skill ai-ml-data-science skill by vasilyu1983/ai-agents-public

End-to-end data science and ML engineering workflows: problem framing, data/EDA, feature engineering (feature stores), modelling, evaluation/reporting, plus SQL transformations with SQLMesh. Use for dataset exploration, feature design, model selection, metrics and slice analysis, model cards/eval reports, experiment reproducibility, and production handoff (...

explainx / skill ai-ml-timeseries

Modern Best Practices (January 2026):

playbooks / skill ai-ml-timeseries skill by vasilyu1983/ai-agents-public

Operational patterns, templates, and decision rules for time series forecasting (modern best practices): tree-based methods (LightGBM), deep learning (Transformers, RNNs), future-guided learning, temporal validation, feature engineering, generative TS (Chronos), and production deployment. Emphasizes explainability, long-term dependency handling, and adaptiv...

playbooks / skill ai-mlops skill by vasilyu1983/ai-agents-public

Production MLOps and ML/LLM/agent security skill for deploying and operating ML systems in production (registry + CI/CD, serving, monitoring/drift, evaluation loops, incident response/runbooks, and governance), including GenAI security (prompt injection, jailbreaks, RAG security, privacy, and supply chain).

playbooks / skill ai-news-digest skill by deletexiumu/agentskills-hub

This skill generates a Chinese AI news digest from multiple sources, deduplicates items, and traces origins for easy reference.