AI & LLM Engineering · Python

Forecasts any univariate time series zero-shot with Google's TimesFM model, returning point forecasts and calibrated prediction intervals without training.

google-research/timesfm

Guide to using Meta's Segment Anything Model for zero-shot image segmentation with point, box or mask prompts, or automatic mask generation.

Orchestra-Research/AI-Research-SKILLs

Patterns and tested examples for building agents with Pydantic AI: tools, capabilities, structured output, dependency injection, hooks, YAML specs, streaming and testing.

docling-project/docling

Reference of Claude API examples and guides covering tool use, vision, RAG, classification, summarization, text-to-SQL, prompt caching and agent patterns.

2025Emma/vibe-coding-cn

Converts PDFs, Office files, HTML, images and other documents into a unified DoclingDocument with Markdown or JSON output, through the docling CLI, Python SDK or a remote service.

docling-project/docling

Shows how to store documents and embeddings in Chroma, query them by similarity with metadata filters, and persist them to disk for RAG and semantic search projects.

Orchestra-Research/AI-Research-SKILLs

Finds or validates a usable SageMaker execution role before deploying or training, so scripts do not try to create IAM roles they lack permission to create.

huggingface/skills

Lets the agent answer questions about a video from a URL or local file by downloading it, extracting frames and a transcript, or by sending it to Gemini's video model.

bradautomates/claude-video

Explains OpenAI's CLIP model for zero-shot image classification, image-text similarity, semantic image search and content moderation, with install steps and code patterns.

Orchestra-Research/AI-Research-SKILLs

Adds, searches, lists, updates and deletes memories on the Mem0 platform from the terminal with the mem0 command, including a JSON mode built for agents.

mem0ai/mem0

A skill your agent uses when needing to compile, rebuild, or install Paddle from source after code changes.

PaddlePaddle/Paddle

Runs lm-evaluation-harness to benchmark language models on academic suites such as MMLU, GSM8K and HumanEval, compare models and track training checkpoints.

Orchestra-Research/AI-Research-SKILLs

Semantic file discovery via vexor. An agent skill from scarletkc/vexor.

scarletkc/vexor

Teaches the Swarms Python framework: the Agent class, tools, loops, memory and multi-agent structures such as sequential, concurrent and graph workflows.

kyegomez/swarms

Installs the cognee AI memory library in a Python environment, sets the LLM key and gets a first remember and recall script running with the Python SDK.

topoteretes/cognee

Adds optional capabilities to Pydantic AI agents from pydantic-ai-harness, led by Code Mode, which runs many tool calls as one sandboxed Python script.

pydantic/pydantic-ai

A skill your agent uses when working with Paddle 3.0 compiler full pipeline: SOT (Symbolic Opcode Translator) for bytecode-level dy2st graph capture, PIR (Paddle IR) for SSA-based intermediate…

PaddlePaddle/Paddle

Design, implement, and debug autonomous AI agents and multi-agent systems using the Google Antigravity (AGY) SDK.

google-antigravity/antigravity-sdk-python

Transcribes audio with OpenAI's Whisper: 99 languages, translation to English, language detection, six model sizes and word-level timestamps, from Python or the CLI.

Orchestra-Research/AI-Research-SKILLs

Creates a new sample agent in the ADK Python repository — the sample directory, its agent.py, and its README.md — following the conventions the existing samples already use.

google/adk-python

Tutors a learner through one stage of a hands-on AI engineering project per session: lesson, prediction, code, grader run and reflection, with hints but never full solutions.

rohitg00/ai-engineering-from-scratch

Answers questions about Mobilerun, the LLM-agent framework for automating Android and iOS devices, by pointing the agent to the right page of its v5 documentation.

droidrun/mobilerun

Map of the agent-squad Python framework for async multi-agent orchestration: which agent, classifier, storage and tool provider to pick, and the pitfalls to avoid.

2FastLabs/agent-squad

Reference for building on Microsoft Foundry with the azure-ai-projects Python SDK: project clients, versioned agents, evaluations, connections, datasets and indexes.

microsoft/skills

Add a new self-contained example agent under examples/. An agent skill from GetBindu/Bindu.

GetBindu/Bindu

Sets up an isolated Python environment with a supported interpreter and current boto3 before any SageMaker deployment, training or AWS automation code runs.

huggingface/skills

A skill your agent uses when writing code that calls the Gemini API for text generation, multi-turn chat, multimodal understanding, image generation, video generation, speech generation (TTS), voice…

google-gemini/gemini-skills

Helps instrument a custom Python or TypeScript agent to record events for Failproof AI, verify what gets written, and run an evaluator worker that scores the runs.

FailproofAI/failproofai

A skill your agent uses when working with Paddle's distributed training system: understanding parallelism strategies (DP, ZeRO, TP, PP, SP), semi-automatic parallel with ProcessMesh + shardtensor…

PaddlePaddle/Paddle

Check Kiln's model list for deprecated or sunset models across all providers.

Kiln-AI/Kiln

Sets up FAISS for fast nearest-neighbor search over large collections of dense vectors, choosing between Flat, IVF, HNSW and product quantization indexes.

Orchestra-Research/AI-Research-SKILLs

Python guidance for the Azure AI Search SDK covering vector, hybrid and semantic search, index management and indexers, with Entra ID authentication preferred over keys.

microsoft/skills

A skill your agent uses when building real-time, bidirectional streaming applications with the Gemini Live API, or migrating legacy Live models (2.0/2.5/3.1) to Gemini 3.8 Live.

google-gemini/gemini-skills

A skill your agent uses when navigating Paddle eager-mode (dynamic graph) source code, tracing forward/backward execution, debugging autograd issues, understanding PyLayer, or investigating…

PaddlePaddle/Paddle

Guides building Tavily integrations for web search, URL extraction, site crawling and AI-assisted research in Python or JavaScript agent and RAG projects.

andrewyng/context-hub

Read or write ONNX text format ("onnxtxt"). An agent skill from onnx/onnx.

onnx/onnx

Run Pyrefly benchmarks locally via Buck or Cargo, including PyTorch real-world LSP benchmarks.

facebook/pyrefly

Check Kiln's fine-tunable model list for deprecated or unsupported base models.

Kiln-AI/Kiln

Document undocumented public APIs in PyTorch by removing functions from coverageignorefunctions and coverageignoreclasses in docs/source/conf.py, running Sphinx coverage, and adding the appropriate…

pytorch/pytorch

Self-check your branch before creating a PR — catch dead code, prevent new model-specific Python examples, verify accuracy/perf claims, validate PR title format, and confirm merge readiness.

vllm-project/vllm-omni

Complete agent-ready workflow for Qwen-family MTP or nextn GGUF conversion and release.

R6410418/Jackrong-llm-finetuning-guide

Indexes research papers on the Hugging Face Hub from arXiv, links them to models and datasets, claims authorship and generates markdown research articles from templates.

huggingface/skills

Scans Python agent code for framework imports and recommends the matching Omnigent executor type, or says when the framework is not natively supported yet.

omnigent-ai/omnigent

Provides reference guides and Python scripts for prompt optimization, RAG evaluation, and agent orchestration when building or tuning LLM systems.

maslennikov-ig/claude-code-orchestrator-kit

A skill your agent uses when working with Paddle's PHI kernel system: registering new kernels, debugging kernel selection/dispatch, understanding code auto-generation from YAML, or implementing…

PaddlePaddle/Paddle

Condensed debugging method and tool recipes for Unix, Python and PyTorch programs: crashes, hangs, segfaults, wrong output, CUDA OOM, NaN values and slowness.

stas00/the-art-of-debugging

Code style for SGLang large classes Scheduler, TokenizerManager, and ModelRunner: frozen-code conventions and init orchestration style.

sgl-project/sglang

Iterative benchmarking, evaluation, and algorithmic optimization of alternative A2UI inference formats (such as Express, Atom, and Elemental).

a2ui-project/a2ui