vasilyu1983

60 mods across 1 repository, 82 stars between them.

vasilyu1983/AI-Agents-public

Skill Claude CodeCodex

Guides multi-GPU pre-training: DDP, FSDP2, ZeRO, tensor/pipeline/expert parallelism, fp8/Muon. Use when scaling a run, training MoE, or reproducing GPT-2 on rented GPUs.

82 11d ago A 57 tokens original MIT

ai-evals

26

vasilyu1983/AI-Agents-public

Skill Claude CodeCodex

Designs trustworthy LLM/agent evals and optimization loops. Use when building graders, calibrating judges, choosing eval/fine-tune methods, thresholds, or fixing noisy scores.

82 11d ago A 41 tokens original MIT

ai-llm-inference

27

vasilyu1983/AI-Agents-public

Skill Claude CodeCodex

LLM inference patterns for latency, batching, caching, quantization, routing, and serving stacks. Use when optimizing throughput, tail latency, or serving cost.

82 11d ago A 39 tokens original MIT

ai-llm

28

vasilyu1983/AI-Agents-public

Skill Claude CodeCodex

Guides the LLM lifecycle from strategy to deployment. Use when planning, comparing, fine-tuning, distilling, compressing, migrating, or operating LLM systems.

82 11d ago A 40 tokens original MIT

ai-local-model-ops

29

vasilyu1983/AI-Agents-public

Skill Claude CodeCodex

Runs local and self-hosted LLM workflows with Ollama, LM Studio, MLX, Open WebUI, llamafile, and adapters. Use when operating private model stacks.

82 11d ago A 42 tokens original MIT

ai-ml-data-science

30

vasilyu1983/AI-Agents-public

Skill Claude CodeCodex

ML and data science workflows - EDA, feature engineering, modelling, evaluation, and production handoff. Use when exploring data or building models.

82 11d ago A 36 tokens original MIT

ai-ml-timeseries

31

vasilyu1983/AI-Agents-public

Skill Claude CodeCodex

Time-series forecasting with temporal validation, panel models, probabilistic forecasts, and TS foundation models. Use when modeling ordered observations.

82 11d ago A 31 tokens original MIT

ai-mlops

32

vasilyu1983/AI-Agents-public

Skill Claude CodeCodex

Operates production MLOps for ML, LLM, and agent systems. Use when designing deployment, monitoring, retraining, incident response, or GenAI security workflows.

82 11d ago A 40 tokens original MIT

ai-post-training

33

vasilyu1983/AI-Agents-public

Skill Claude CodeCodex

Post-training and alignment: reward modeling, RLHF/PPO, DPO/DAAs, GRPO, RLVR, RLAIF, over-optimization. Use when adapting an SFT model with preference or verifiable-reward signals.

82 11d ago A 53 tokens original MIT

ai-pretraining

34

vasilyu1983/AI-Agents-public

Skill Claude CodeCodex

Builds a transformer/GPT and BPE tokenizer from scratch. Use when implementing autograd, self-attention, a nanoGPT-style pretraining loop, or a byte-level tokenizer.

82 11d ago A 41 tokens original MIT

vasilyu1983/AI-Agents-public

Skill Claude CodeCodex

Designs operating models for AI in product teams. Use when planning platform ownership, provider strategy, data boundaries, evals, or sensitive-data controls.

82 11d ago A 36 tokens original MIT

vasilyu1983/AI-Agents-public

Skill Claude CodeCodex

Prompt engineering for production LLMs — structured outputs, evals, RAG, tool workflows, multimodal prompting, and safety. Use when designing, debugging, or shipping prompts.

82 11d ago A 43 tokens original MIT

ai-rag

37

vasilyu1983/AI-Agents-public

Skill Claude CodeCodex

Designs retrieval-augmented generation and search systems. Use when choosing retrieval, chunking, hybrid search, grounding, or RAG evaluation patterns.

82 11d ago A 34 tokens original MIT

ai-scaling-laws

38

vasilyu1983/AI-Agents-public

Skill Claude CodeCodex

Sizes models and token budgets using Kaplan/Chinchilla scaling laws. Use when reasoning about compute-optimal N and D, tokens-per-parameter ratios, or over-training tradeoffs.

82 11d ago A 42 tokens original MIT

ai-vector-brain

39

vasilyu1983/AI-Agents-public

Skill Claude CodeCodex

Builds vector-brain implementations for repos, docs hubs, and compliance corpora. Use when creating pgvector retrieval brains with scripts, SQL, manifests, and evals.

82 11d ago A 40 tokens original MIT

ai-voice-bots

40

vasilyu1983/AI-Agents-public

Skill Claude CodeCodex

Builds production voice bots and IVR with Python STT/TTS pipelines. Use when designing telephony, streaming audio, latency budgets, or voice quality monitoring.

82 11d ago A 39 tokens original MIT

vasilyu1983/AI-Agents-public

Skill Claude CodeCodex

Builds analytics engineering layers for metrics, contracts, and BI-ready models. Use when shaping dbt or SQLMesh marts, metric governance, lineage, or data quality.

82 11d ago A 40 tokens original MIT

data-lake-platform

42

vasilyu1983/AI-Agents-public

Skill Claude CodeCodex

Designs lakehouse platforms across Iceberg, Delta, Hudi, and Paimon. Use when choosing catalogs, CDC paths, query engines, governance, or cost controls.

82 11d ago A 41 tokens original MIT

data-metabase

43

vasilyu1983/AI-Agents-public

Skill Claude CodeCodex

Automates Metabase cards, dashboards, Remote Sync, embedding, tenants, and the Agent API/MCP server for AI workflows. Use when scripting, promoting, or embedding Metabase content.

82 11d ago A 42 tokens original MIT

vasilyu1983/AI-Agents-public

Skill Claude CodeCodex

Diagnoses and tunes SQL for OLTP workloads on PostgreSQL, MySQL, and SQL Server. Use when tuning queries, reading plans, indexing, or fixing lock contention.

82 11d ago A 41 tokens original MIT

data-streaming

45

vasilyu1983/AI-Agents-public

Skill Claude CodeCodex

Designs streaming platforms for Kafka, Flink, CDC, and lakehouse ingestion. Use when planning event backbones, CDC pipelines, schema governance, or real-time lakehouse delivery.

82 11d ago A 41 tokens original MIT

vasilyu1983/AI-Agents-public

Skill Claude CodeCodex

Measures AI coding impact and extension robustness. Use when tracking delivery, quality trajectories, cost, experience, pilots, scorecards, or leadership reporting.

82 11d ago A 36 tokens original MIT

dev-api-design

47

vasilyu1983/AI-Agents-public

Skill Claude CodeCodex

Designs durable API contracts across REST, GraphQL, gRPC, tRPC, and AsyncAPI. Use when specifying interfaces, auth, versioning, errors, rate limits, or agent APIs.

82 11d ago A 44 tokens original MIT

vasilyu1983/AI-Agents-public

Skill Claude CodeCodex

Builds per-repo code graphs in JSON and markdown-ready derived artifacts. Use when you need blast radius, symbol-level maps, import graphs, inheritance, or test links.

82 11d ago A 41 tokens original MIT