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AI & LLM Engineering · By Prism-Shadow
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Guidance for using the MMSP Python SDK (mmsp). An agent skill from Prism-Shadow/model-message-stream-protocol. | Prism-Shadow/ | 113 | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 2 | Guidance for using the MMSP TypeScript SDK (@prismshadow/mmsp). | Prism-Shadow/ | 113 | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 3 | Fine-tune LLMs with LlamaFactory — register datasets, train via YAML configs, merge LoRA adapters and serve the result. | Prism-Shadow/ | 2.5k | — | ~855 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 4 | 4.Ollama Deploy and serve local models with Ollama — pull and run them, then expose the OpenAI-compatible endpoint to apps and agents. | Prism-Shadow/ | 2.5k | — | ~839 | Automated safety check: Notes | Apache-2.0 | yesterday |
| 5 | 5.Vllm Deploy and serve LLMs with vLLM behind an OpenAI-compatible endpoint, with tool calling enabled for agent workloads. | Prism-Shadow/ | 2.5k | — | ~1k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 6 | Call model APIs through @prismshadow/mmsp (MMSP) — streaming text generation, image generation, speech synthesis, embeddings and the supported-model registry with one client. | Prism-Shadow/ | 2.5k | — | ~6.7k | Automated safety check: Pass | Apache-2.0 | yesterday |
