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AI & LLM Engineering · By sickn33
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 49 | Create custom AI subagents with proper plugin structure, persona generation, and companion routing skills. | sickn33/ | 47k | 1 repo | ~2.7k | Automated safety check: Pass | MIT | 2 days ago |
| 50 | Autonomous AI code generation safety guardrail register: static AST analysis, forbidden import filters, and zero-day vulnerability checks. | sickn33/ | 47k | 1 repo | ~1.4k | Automated safety check: Pass | MIT | 2 days ago |
| 51 | Orchestrate AI/ML pipelines for data ingestion, model training, batch inference, and RAG indexing using Prefect, Airflow, or Dagster. | sickn33/ | 47k | 1 repo | ~2.5k | Automated safety check: Pass | MIT | 2 days ago |
| 52 | Look up and read Hugging Face paper pages in markdown, and use the papers API for structured metadata such as authors, linked models/datasets/spaces, Github repo and project page. | sickn33/ | 47k | 1 repo | ~2.5k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 53 | Build and publish a Gradio demo on Hugging Face Spaces for a user-provided LoRA. | sickn33/ | 47k | 1 repo | ~8.3k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 54 | Hunt vector-store / embedding-layer weaknesses in RAG pipelines (OWASP LLM08 Vector and Embedding Weaknesses) | sickn33/ | 47k | 1 repo | ~3k | Automated safety check: Pass | MIT | 2 days ago |
| 55 | Audit named agent instructions, tool definitions, and supported Python prompts with local LintLang checks; return finding codes and locations without changing files. | sickn33/ | 47k | 1 repo | ~1.3k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 56 | Reduce LLM API and infrastructure costs through model selection, prompt caching, batching, caching, quantization, and self-hosting strategies. | sickn33/ | 47k | 1 repo | ~2.5k | Automated safety check: Pass | MIT | 2 days ago |
| 57 | Set up infrastructure for fine-tuning LLMs with QLoRA, LoRA, and full fine-tuning using Hugging Face TRL, Axolotl, and distributed training with DeepSpeed or FSDP. | sickn33/ | 47k | 1 repo | ~2.3k | Automated safety check: Pass | MIT | 2 days ago |
| 58 | 58.LLM Gateway Deploy an API gateway for LLM traffic with load balancing, rate limiting, key management, semantic caching, fallback routing, and cost tracking. | sickn33/ | 47k | 1 repo | ~2.1k | Automated safety check: Pass | MIT | 2 days ago |
| 59 | Auto-scale LLM inference clusters on Kubernetes using KEDA, custom GPU metrics, and horizontal pod autoscaling. | sickn33/ | 47k | 1 repo | ~2.1k | Automated safety check: Pass | MIT | 2 days ago |
| 60 | Deploy ML models on Kubernetes with KServe (formerly KFServing) and NVIDIA Triton Inference Server. | sickn33/ | 47k | 1 repo | ~2.3k | Automated safety check: Pass | MIT | 2 days ago |
| 61 | Design and optimize production-grade multi-agent systems with LangGraph, LangChain, and DeepAgents for complex AI workflows. | sickn33/ | 47k | 1 repo | ~3.1k | Automated safety check: Pass | MIT | 2 days ago |
| 62 | 62.N8n Agents Design n8n AI agents, chains, classifiers, extractors, tool calling, memory, RAG, structured output, and human-review flows. | sickn33/ | 47k | 1 repo | ~6k | Automated safety check: Pass | MIT | 2 days ago |
| 63 | Register custom Pi Agent model slugs so saved OpenRouter variants resolve correctly. | sickn33/ | 47k | 1 repo | ~1.1k | Automated safety check: Pass | MIT | 2 days ago |
| 64 | Build and operate Retrieval-Augmented Generation (RAG) infrastructure with vector stores, embedding pipelines, and hybrid search. | sickn33/ | 47k | 1 repo | ~2.2k | Automated safety check: Pass | MIT | 2 days ago |
| 65 | Integrate RouterBase as an OpenAI-compatible model gateway for routing GPT, Claude, Gemini, media, audio, and embedding requests. | sickn33/ | 47k | 1 repo | ~1.8k | Automated safety check: Pass | MIT-0 | 2 days ago |
| 66 | 66.Run Deep Swe Run reproducible DeepSWE coding-agent benchmark evaluations through OpenRouter and mini-swe-agent. | sickn33/ | 47k | 1 repo | ~1.2k | Automated safety check: Pass | MIT | 2 days ago |
| 67 | Checks what a shipped AI product's system prompt and tool schema actually say, by reading a dated archive of captured prompts instead of recalling them. | sickn33/ | 47k | 1 repo | ~2.1k | Automated safety check: Pass | AGPL-3.0 | 2 days ago |
| 68 | Fine-tune and post-train LLMs with Unsloth Core on a single consumer GPU: VRAM sizing, LoRA/QLoRA, GRPO/DPO, chat-template correctness, and GGUF export. | sickn33/ | 47k | 1 repo | ~4.1k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 69 | Ultra-dense token optimizer skill for prompt caching, log pruning, AST-based inspection, and minified JSON payloads. | sickn33/ | 47k | 1 repo | ~1.3k | Automated safety check: Pass | MIT | 2 days ago |
| 70 | Designs composable recommendation, ranking, and feed pipelines using the six-stage Source→Hydrator→Filter→Scorer→Selector→SideEffect framework | sickn33/ | 47k | 1 repo | ~1.8k | Automated safety check: Pass | MIT | 2 days ago |
| 71 | Deploy, monitor, and debug long GPU jobs on RENTED/remote instances (AutoDL, RunPod, vast.ai, Lambda, Slurm, K8s): teardown/billing safety, spot resilience, resumable checkpointing, OOM/NaN triage. | sickn33/ | 47k | 1 repo | ~5.8k | Automated safety check: Pass | MIT | 2 days ago |
| 72 | 72.Tokenwise Measurement-driven model router for Claude Code. An agent skill from sickn33/agentic-awesome-skills. | sickn33/ | 47k | 1 repo | ~932 | Automated safety check: Pass | MIT | 2 days ago |
| 73 | Build Weaviate AI apps from official cookbook blueprints for RAG, agentic RAG, data exploration, multimodal PDF search, async clients, and frontends. | sickn33/ | 47k | 1 repo | ~1k | Automated safety check: Pass | BSD-3-Clause | 2 days ago |
| 74 | 74.Agent Evals Build automated evaluation suites for AI agents using golden datasets, rubrics, and regression gates. | sickn33/ | 47k | 2 repos | ~3.1k | Automated safety check: Warn | MIT | 2 days ago |
| 75 | Use Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript. | sickn33/ | 47k | 1 repo | ~444 | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 76 | Author and review high-quality agent skills with triggers, progressive disclosure, and safety notes. | sickn33/ | 47k | 1 repo | ~3.9k | Automated safety check: Warn | MIT | 2 days ago |
| 77 | Hugging Face Dataset Viewer | sickn33/ | 47k | 1 repo | ~1.3k | Automated safety check: Pass | Apache-2.0 | 2 days ago |