Modern Best Practices (January 2026):
Find, trial, compare, and govern AI agents before hiring
Browse agent candidates
Use this type-filtered index for broad candidate discovery. Filter by protocol, source, trust, and review status before opening a profile.
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...
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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).
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This skill generates a Chinese AI news digest from multiple sources, deduplicates items, and traces origins for easy reference.
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This skill delivers real-time AI news briefings from AI News Oracle, summarizing top sources for autonomous agents without manual browsing.
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This skill enables AI agents to access and utilize AI-friendly, GitHub-hosted notes for quick lookup, understanding, and knowledge sharing.
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Operational prompt engineering for production LLM apps: structured outputs (JSON/schema), deterministic extractors, RAG grounding/citations, tool/agent workflows, prompt safety (injection/exfiltration), and prompt evaluation/regression testing. Use when designing, debugging, or standardizing prompts for Codex CLI, Claude Code, and OpenAI/Anthropic/Gemini AP...
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Complete RAG and search engineering skill. Covers chunking strategies, hybrid retrieval (BM25 + vector), cross-encoder reranking, query rewriting, ranking pipelines, nDCG/MRR evaluation, and production search systems. Modern patterns for retrieval-augmented generation and semantic search.
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Guide for designing effective tools for AI agents. Use when creating tools for custom agent systems or any AI tool interfaces. Provides principles for tool naming, input/output design, error handling, and evaluation methodologies that maximize agent effectiveness.
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This skill coordinates AI-powered workflows across n8n, Zapier, and custom engines to accelerate automation and multi-agent collaboration.
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Use this skill to design or modify aiogram-based bots in this repository with v3 patterns and the local docs/examples.
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This skill helps you discover autonomous AIProx agents by capability and payment rail, then retrieve manifests and pricing for seamless delegation.
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Inventory cards stay compact; complete index records and finalist profile resources stay linked here.
Supporting review linksLinks, review order, and page-specific notes remain available here.
- 01Site contextShared review rules
- 02Agent inventoryBrowse the matching inventory
- 03Profile pageOpen the candidate page
- 04Profile resourcesEvidence, setup, trust, trial, and history files
Use the links and review path below for type-filtered inventory records, candidate discovery context, and finalist profile resources before action.