pydantic
18 skills with substantive source documentation and an official publisher or observed installation demand. Read each skill’s original documentation through its card.
pydanticpydantic-ai-harness
Extend Pydantic AI agents with capabilities from pydantic-ai-harness -- the Coder coding agent, file and shell tools in local or sandboxed workspaces (Modal, E2B, Sprites, smolvm), Code Mode, sub-agents and planning, memory and skills, context compaction, guardrails and spend limits, web research and browsers, hosted SaaS integrations, step persistence, and background agents on Render Workflows. Use when the user mentions pydantic-ai-harness or pydanticaiharness, imports a harness capability suc
- installations
- 6
- GitHub Stars
- 144
- Mis à jour
- 16 oct.
pydanticlogfire-instrumentation
Add Pydantic Logfire observability to application code — traces, logs, metrics, and AI/agent spans. Use when the user asks to add or configure Logfire, observability, tracing, logging, or monitoring; maximize useful telemetry; or understand what an app is doing. Supports Python, JavaScript/TypeScript, Rust, and major AI agent frameworks including Pydantic AI, OpenAI Agents SDK, Claude Agent SDK, LangChain, LangGraph, CrewAI, AutoGen, and Google ADK. For infrastructure-only monitoring (hosts, Doc
- installations
- 5
- GitHub Stars
- 144
- Mis à jour
- 16 oct.
pydanticbuilding-pydantic-ai-agents
Build AI agents with Pydantic AI — tools, capabilities (including on-demand loading), workspaces, structured output, streaming, testing, and multi-agent patterns. Use when the user mentions Pydantic AI, imports pydanticai, or asks to build an AI agent, add tools/capabilities, attach a workspace, defer capability loading, stream output, define agents from YAML, or test agent behavior.
- installations
- 2
- GitHub Stars
- 144
- Mis à jour
- 16 oct.
pydanticlogfire-setup
Entry point for Pydantic Logfire — an observability, monitoring, and evals platform. Use this skill when the user asks to "set up Logfire", "add Logfire to my project", "get me set up properly with Logfire", "send as much data as would be useful", mentions Logfire without a specific scope, or their request spans more than one of instrumenting application code / monitoring infrastructure / evaluating AI behavior. If the request is clearly scoped to exactly one of those, fetch that specific skill
- installations
- 2
- GitHub Stars
- 142
- Mis à jour
- 15 oct.
pydanticlogfire-ui
Open or return Logfire project pages, live views, trace links, and Explore pages in the Codex browser without querying telemetry first. Use this skill when the user asks to "open in Logfire", "show in the live view", "open Explore", "open the UI", "show in Codex", "use the browser", "give me a link", or asks for a Logfire GUI/browser/live-view presentation of a project, time range, service, span, trace, log, or filter. If "show" or "view" wording is ambiguous, ask whether the user wants a UI vie
- installations
- 2
- GitHub Stars
- 142
- Mis à jour
- 15 oct.
pydanticmigrating-claude-agent-sdk-to-pydantic-ai
Migrate Python applications from the Claude Agent SDK to Pydantic AI and, only when needed, Pydantic AI Harness. Use when source code imports claudeagentsdk or relies on Claude Code's agent loop, sessions, built-in tools, hooks, permissions, skills, or subagents. Do not use for the Anthropic Messages SDK or Claude Managed Agents.
- installations
- 2
- GitHub Stars
- 142
- Mis à jour
- 15 oct.
pydanticmigrating-deep-agents-to-pydantic-ai-harness
Migrate Python LangChain Deep Agents applications to Pydantic AI and Pydantic AI Harness. Use when the source uses the upstream deepagents package or demonstrably reproduces its middleware, backends, skills, memory, subagents, or sandbox contracts. Use migrating-langchain-to-pydantic-ai for plain LangChain, LangGraph, or LCEL migrations and pydantic-ai-harness for greenfield Harness usage.
- installations
- 2
- GitHub Stars
- 142
- Mis à jour
- 15 oct.
pydanticmigrating-langchain-to-pydantic-ai
Migrate Python LangChain, LangGraph, or Deep Agents applications to Pydantic AI and, when the source uses harness features, Pydantic AI Harness. Use for LangChain agents, chains, LCEL, direct LangGraph graphs, persistence, interrupts, streaming, and createdeepagent projects with planning, filesystem or sandbox backends, skills, memory, subagents, permissions, approvals, or Deep Agents Code hosts.
- installations
- 2
- GitHub Stars
- 142
- Mis à jour
- 15 oct.
pydanticmigrating-mastra-to-pydantic-ai
Migrate TypeScript Mastra applications to Python with Pydantic AI and, only when needed, Pydantic AI Harness. Use when source code imports @mastra/ or relies on Mastra agents, tools, workflows, memory, processors, streaming, approvals, skills, or subagents.
- installations
- 2
- GitHub Stars
- 142
- Mis à jour
- 15 oct.
pydanticmigrating-openai-agents-sdk-to-pydantic-ai
Migrate Python OpenAI Agents SDK applications to Pydantic AI and, when warranted, Pydantic AI Harness. Use for agents.Agent, Runner, function tools, handoffs, guardrails, sessions, human approval, streaming, or SandboxAgent. Do not use for applications built directly on the OpenAI Responses API without the Agents SDK runtime.
- installations
- 2
- GitHub Stars
- 142
- Mis à jour
- 15 oct.
pydanticmigrating-vercel-ai-sdk-and-eve-to-pydantic-ai
Migrate TypeScript Vercel AI SDK or Eve applications to Python with Pydantic AI and, only when needed, Pydantic AI Harness. Use when source code imports ai, @ai-sdk/, or eve, or relies on generateText, streamText, ToolLoopAgent, useChat, Eve agents, tools, skills, subagents, approvals, sessions, channels, schedules, or sandboxes.
- installations
- 2
- GitHub Stars
- 142
- Mis à jour
- 15 oct.
pydanticlogfire-evals
Run offline Python (pydanticevals) or Node.js (logfire/evals) evaluations and review them in Logfire. Also redirect existing Braintrust Eval() suites. Use for eval setup, test datasets, AI scoring, agent checks, LLM judges, Braintrust migration, or Logfire Datasets & Experiments. Not for live traffic or infrastructure monitoring.
- installations
- 1
- GitHub Stars
- 144
- Mis à jour
- 16 oct.
pydanticlogfire-infrastructure
Monitor hosts, Docker containers, Kubernetes clusters, database/queue/cache servers, and cloud-provider metrics with Pydantic Logfire — no application code required. Use this skill whenever the user asks to "monitor my host/server/VM", "monitor my Docker containers", "monitor my Kubernetes cluster", "send infrastructure metrics to Logfire", "watch my database/Postgres/Redis/MongoDB/Kafka", "collect cloud metrics" (AWS/GCP), or mentions the OpenTelemetry Collector in the context of Logfire. This
- installations
- 1
- GitHub Stars
- 144
- Mis à jour
- 16 oct.
pydanticlogfire-query
Query and analyze Logfire telemetry data — traces, logs, spans, metrics, summaries, and SQL results. Use this skill when the user asks to "query logfire", "search traces", "find logs", "query data", "search spans", "look up errors in logfire", "get metrics from logfire", "analyze telemetry", "summarize errors", "find root cause", or add Logfire querying capabilities to code. Do not use this skill for direct Logfire UI, browser, live-view, Explore-page, or link-opening requests; use logfire-ui in
- installations
- 1
- GitHub Stars
- 144
- Mis à jour
- 16 oct.
pydanticmigrating-agno-to-pydantic-ai
Migrate Python Agno applications to Pydantic AI and, only when needed, Pydantic AI Harness. Use when source code imports agno or relies on Agno agents, teams, workflows, sessions, memory, knowledge, tools, hooks, guardrails, approvals, skills, streaming, or AgentOS.
- installations
- 1
- GitHub Stars
- 144
- Mis à jour
- 16 oct.
pydanticmigrating-google-adk-to-pydantic-ai
Migrate Python Google Agent Development Kit (ADK) applications to Pydantic AI. Use for LlmAgent, Runner, sessions, state, memory, tools, callbacks, plugins, graph or dynamic workflows, resumability, events, artifacts, MCP, and ADK deployment boundaries.
- installations
- 1
- GitHub Stars
- 144
- Mis à jour
- 16 oct.
pydanticmigrating-pi-to-pydantic-ai
Migrate TypeScript Pi coding-agent applications, extensions, or packages to Python with Pydantic AI and Pydantic AI Harness. Use when source code imports @earendil-works/pi-, calls createAgentSession, registers Pi extensions, or relies on Pi tools, hooks, skills, sessions, compaction, providers, TUI, RPC, or packages.
- installations
- 1
- GitHub Stars
- 144
- Mis à jour
- 16 oct.
pydanticpydantic
Pydantic is a Python data validation and serialization library, based on type hints. Use this skill whenever you need to do relatively complex data modeling using Pydantic, e.g. when adding constraints, defining a model hierarchy with subclasses, etc.
- installations
- 1
- GitHub Stars
- 144
- Mis à jour
- 16 oct.