AI & LLM Engineering · Python · For developers

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

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

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

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

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

kyegomez/swarms

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

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 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

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

scarletkc/vexor

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

google-antigravity/antigravity-sdk-python

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

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

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

GetBindu/Bindu

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

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

Kiln-AI/Kiln

Defines the shape of cognee's knowledge graph with graph_model: DataPoint node classes, identity and index fields, typed edges and fixes for duplicated nodes.

topoteretes/cognee

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

Shows how to write custom cognee tasks, chain them into pipelines, store custom DataPoints and run enrichment over the existing graph.

topoteretes/cognee

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

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

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

a2ui-project/a2ui

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

sgl-project/sglang

Shows how to load, train and use fast Hugging Face tokenizers, with BPE, WordPiece and Unigram models, padding, truncation and alignment tracking.

Orchestra-Research/AI-Research-SKILLs

A skill your agent uses when Pyrefly computes a wrong tensor shape (or is missing one that can't be expressed in a stub signature) and you need to add or fix a shape-DSL rule.

facebook/pyrefly

Builds ExecuTorch from source: the Python package, C++ runtime, model runners, Android and iOS cross-compilation and backend-specific builds, with environment checks.

pytorch/executorch

Adding a Community Agent Skill: a Markdown attack-workflow file that users import from the catalog, which then competes in the Intent Router and is injected into the agent's system prompt.

samugit83/redamon

Sets up an isolated per-worktree Python environment for attention-gym development using nightly PyTorch and the CI-mirroring uv flow.

meta-pytorch/attention-gym

Know what every AI call really costs — floe-guard meters STT + TTS + LLM + telephony per call (Pipecat, LiveKit — Python & TypeScript), keeps a live ledger of real spend, and hard-stops the next…

Floe-Labs/floe-guard

Use with the dstack skill for model-serving work when the image, serving command, resources, backend/fleet choice, or service behavior is not proven.

dstackai/dstack

Turn 2+ user reference images into a high-fidelity animated Codex companion using PocketMen's own local stack.

six-nut/PocketMen-with-you

Quick reference for wdoc, a command-line and Python tool that summarizes, searches and answers questions over documents of many file types.

thiswillbeyourgithub/wdoc

Reference for designing and tuning production LLM prompts: few-shot examples, chain-of-thought, structured outputs, templates and system prompts.

wshobson/agents

Developer guide for the Cortex-M (CMSIS-NN) backend in ExecuTorch: quantization pipeline, pass manager, tests and adding new ops.

pytorch/executorch

Guide for upgrading Stripe API versions and SDKs. An agent skill from kanchengw/cnllm.

kanchengw/cnllm

Builds a retail product search agent on Google Cloud, from catalog ingestion into BigQuery and Vector Search to ADK scaffolding, evaluation and Cloud Run deployment.

google/adk-recipes