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AI & LLM Engineering · Pydantic
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Patterns and tested examples for building agents with Pydantic AI: tools, capabilities, structured output, dependency injection, hooks, YAML specs, streaming and testing. | docling-project/ | 69k | — | ~2.8k | Automated safety check: Pass | MIT | today |
| 2 | Build AI agents with Pydantic AI — tools, capabilities (including on-demand loading), workspaces, structured output, streaming, testing, and multi-agent patterns. | pydantic/ | 21k | — | ~8.2k | Automated safety check: Pass | MIT | today |
| 3 | Reference for designing and tuning production LLM prompts: few-shot examples, chain-of-thought, structured outputs, templates and system prompts. | wshobson/ | 40k | — | ~1.3k | Automated safety check: Pass | MIT | 6 days ago |
| 4 | Migrate Python Agno applications to Pydantic AI and, only when needed, Pydantic AI Harness. | pydantic/ | 21k | — | ~1.8k | Automated safety check: Pass | MIT | today |
| 5 | Uses the Outlines library to constrain model output to a JSON schema, Pydantic model, regex or fixed set of choices when running local models. | Orchestra-Research/ | 13k | 9 repos | ~4k | Automated safety check: Pass | MIT | 3 mo ago |
| 6 | Shows how to pull validated, typed data out of LLM responses with Instructor and Pydantic models, including retries on failure and partial streaming. | Orchestra-Research/ | 13k | 6 repos | ~4.2k | Automated safety check: Pass | MIT | 3 mo ago |
| 7 | Migrate Python LangChain, LangGraph, or Deep Agents applications to Pydantic AI and, when the source uses harness features, Pydantic AI Harness. | pydantic/ | 21k | — | ~2.5k | Automated safety check: Pass | MIT | today |
| 8 | UiPath Coded Functions — deterministic Python or TypeScript/JavaScript units built with the uip function CLI (new -l py|ts|js, init, serve, run, pack, publish); the functions map in uipath.json… | UiPath/ | 167 | — | ~3.6k | Automated safety check: Notes | MIT | today |
| 9 | Build AI agents with Pydantic AI — tools, capabilities (including on-demand loading), structured output, streaming, testing, and multi-agent patterns. | pydantic/ | 140 | — | ~5.4k | Automated safety check: Pass | MIT | 10 days ago |
| 10 | Add or update a Swarmauri SDK base mixin in pkgs/base/swarmauribase. | swarmauri/ | 104 | — | ~318 | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 11 | Run offline Python (pydanticevals) or Node.js (logfire/evals) evaluations and review them in Logfire. | pydantic/ | 140 | — | ~3.6k | Automated safety check: Pass | MIT | 10 days ago |
| 12 | Migrate TypeScript Vercel AI SDK or Eve applications to Python with Pydantic AI and, only when needed, Pydantic AI Harness. | pydantic/ | 21k | — | ~2.3k | Automated safety check: Pass | MIT | today |
| 13 | Add Pydantic Logfire observability to application code — traces, logs, metrics, and AI/agent spans. | pydantic/ | 140 | — | ~6.1k | Automated safety check: Pass | MIT | 10 days ago |
| 14 | Get a typed Python value back from an AG2 beta Agent instead of free text. | ag2ai/ | 252 | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 15 | 15.Pydantic AI Build production-ready AI agents with PydanticAI — type-safe tool use, structured outputs, dependency injection, and multi-model support. | davila7/ | 33k | 3 repos | ~2.9k | Automated safety check: Pass | MIT | today |
| 16 | INVOKE THIS SKILL when you need human-in-the-loop approval, custom middleware, or structured output. | langchain-ai/ | 1.3k | — | ~2.7k | Automated safety check: Pass | MIT | 2 days ago |
| 17 | Entry point for Pydantic Logfire — an observability, monitoring, and evals platform. | pydantic/ | 140 | — | ~1.5k | Automated safety check: Pass | MIT | 10 days ago |
| 18 | Step-by-step guide for adding a new observability/tracing provider to Agent Kernel. | yaalalabs/ | 192 | — | ~3.5k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 19 | Comprehensive guide to integrating DSPy with Microsoft Agent Framework in AgenticFleet, covering typed signatures, assertions, routing cache, GEPA optimization, and agent handoffs. | Qredence/ | 111 | — | ~5.2k | Automated safety check: Pass | MIT | 6 mo ago |
| 20 | Shared Python best practices for LlamaFarm. An agent skill from llama-farm/llamafarm. | llama-farm/ | 836 | — | ~1.2k | Automated safety check: Notes | Apache-2.0 | 4 mo ago |
| 21 | Build reliable dev / staging / prod isolation for LangChain 1.0 services — Pydantic Settings + SecretStr, cloud Secret Manager in prod, per-env prompt and model version pinning, env-specific… | jeremylongshore/ | 2.8k | — | ~4.2k | Automated safety check: Notes | MIT | yesterday |
| 22 | A reference layered architecture for production LangChain 1.0 / LangGraph 1.0 services — LLM factory with version-safe defaults, chain/graph registry, retriever and tool DI, Pydantic-validated… | jeremylongshore/ | 2.8k | — | ~4.7k | Automated safety check: Notes | MIT | yesterday |
| 23 | 23.Instructor Structured LLM outputs with Instructor — Pydantic models as response schemas for OpenAI, Anthropic, and any OpenAI-compatible API. | AlexAI-MCP/ | 135 | — | ~993 | Automated safety check: Pass | MIT | 6 mo ago |
| 24 | A skill your agent uses for DSPy signatures, InputField, OutputField, typed inputs and outputs, signature classes, and Pydantic-style structured schemas. | OmidZamani/ | 123 | — | ~1.9k | Automated safety check: Pass | MIT | 3 mo ago |