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AI & LLM Engineering · By LeoYeAI
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 49 | Reference guide for permanent free-tier LLM APIs with rate limits, model lists, and OpenAI-compatible integration patterns. | LeoYeAI/ | 2.2k | — | ~4.1k | Automated safety check: Pass | MIT | 2 mo ago |
| 50 | Skill that restores conversation context when users want to "continue where we left off". | LeoYeAI/ | 2.2k | — | ~4.1k | Automated safety check: Warn | MIT | 2 mo ago |
| 51 | 51.Ecocompute EcoLobster energy advisor: save 30-701% wasted GPU energy. An agent skill from LeoYeAI/openclaw-master-skills. | LeoYeAI/ | 2.2k | — | ~7k | Automated safety check: Pass | MIT | 2 mo ago |
| 52 | 52.Impromptu Earn real money creating AI conversations. An agent skill from LeoYeAI/openclaw-master-skills. | LeoYeAI/ | 2.2k | — | ~4.1k | Automated safety check: Pass | MIT | 2 mo ago |
| 53 | Expert skill for memory-lancedb-pro — a production-grade LanceDB-backed long-term memory plugin for OpenClaw agents with hybrid retrieval, cross-encoder reranking, multi-scope isolation, and smart… | LeoYeAI/ | 2.2k | — | ~4.1k | Automated safety check: Notes | MIT | 2 mo ago |
| 54 | 54.Milvus Operate Milvus vector database with pymilvus — collections, vector search, hybrid search, indexes, RBAC, partitions, and more via Python code. | LeoYeAI/ | 2.2k | — | ~4.6k | Automated safety check: Pass | MIT | 2 mo ago |
| 55 | Fully local multi-agent swarm intelligence simulation engine using Neo4j + Ollama for public opinion, market sentiment, and social dynamics prediction. | LeoYeAI/ | 2.2k | — | ~4.1k | Automated safety check: Notes | MIT | 2 mo ago |
| 56 | AI Agent search platform with 9 engines, Google 13 sub-types, vertical scene search, and intelligent auto/multi/extract modes. | LeoYeAI/ | 2.2k | — | ~4.2k | Automated safety check: Notes | MIT | 2 mo ago |
| 57 | 57.Product Rnd End-to-end Product Innovation R&D workflow — inspiration gathering, research, and professional report generation. | LeoYeAI/ | 2.2k | — | ~5k | Automated safety check: Pass | MIT | 2 mo ago |
| 58 | Route each user request to the most cost-effective model or multi-model workflow based on task type, complexity, risk, latency, budget, tool needs, and verification requirements. | LeoYeAI/ | 2.2k | — | ~4.9k | Automated safety check: Pass | MIT | 2 mo ago |
| 59 | 59.Qwen AI Unlock deep video understanding with qwen-ai on ClawHub. An agent skill from LeoYeAI/openclaw-master-skills. | LeoYeAI/ | 2.2k | — | ~4.2k | Automated safety check: Pass | MIT | 2 mo ago |
| 60 | payment safety guardrail for tasks that involve paying, wiring, reimbursing, settling invoices, sending remittances, topping up balances, or moving money or stored value. | LeoYeAI/ | 2.2k | — | ~4.1k | Automated safety check: Pass | MIT | 2 mo ago |
