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Fuenfgeld/pydantic-ai-skills

Production-ready Claude Code skills for building AI agents with Pydantic AI. Includes dependency injection, tools, validators, streaming, multi-agent orchestration, and evaluation framework patterns.

Claude Code Engineering

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git clone --filter=blob:none --no-checkout https://github.com/Fuenfgeld/pydantic-ai-skills.git .hotskills/fuenfgeld-pydantic-ai-skills && git -C .hotskills/fuenfgeld-pydantic-ai-skills checkout --detach baf50b57e8705f1e4f858d9bfffb06edcc321efe
# Copy each selected skill directory from .hotskills/fuenfgeld-pydantic-ai-skills into .claude/skills/<skill-name>/

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2skills in this repository

3commits in 30 days

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Individual skills in this repository

pydantic-ai-agents skills/pydantic-ai-agents
pydantic-evals skills/pydantic-evals

How it works

Choose a skill

pydantic-ai-agents

When your agent uses it

Build and debug Pydantic AI v2 agents using best practices for dependencies, instructions, tools, capabilities, hooks, and structured output validation. Use when the user wants to: (1) Create a new Pydantic AI agent, (2) Debug or fix an existing agent, (3) Add features like tools, validators, capabilities, hooks, or dynamic instructions, (4) Integrate OpenRouter for multi-model access, (5) Add Logfire for debugging/observability, (6) Structure agent architecture with dependency injection, (7) Migrate an agent from Pydantic AI v1 to v2.

What it loads into context

Frontmatter

140 tokens

Always available to the agent

SKILL.md

4,339 tokens

When the skill is activated

Reference documents

0 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

Pydantic AI Developer Guide

Scripts executed separately

references/01_dependencies.py
references/02_prompts.py
references/03_tools.py
references/04_validators.py
references/05_main.py
references/06_openrouter.py
references/07_logfire.py
references/08_streaming.py
references/09_result_validators.py
references/10_model_settings.py
references/11_multi_agent.py
references/12_conversation_history.py
references/13_capabilities_native_tools.py
references/14_hooks.py
references/15_toolsets_mcp.py

Files

SKILL.mdcore17,474 bytes
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references/01_dependencies.pyruns1,392 bytes
references/02_prompts.pyruns3,046 bytes
references/03_tools.pyruns4,100 bytes
references/04_validators.pyruns5,449 bytes
references/05_main.pyruns8,357 bytes
references/06_openrouter.pyruns2,842 bytes
references/07_logfire.pyruns5,154 bytes
references/08_streaming.pyruns3,863 bytes
references/09_result_validators.pyruns6,416 bytes
references/10_model_settings.pyruns5,488 bytes
references/11_multi_agent.pyruns9,309 bytes
references/12_conversation_history.pyruns6,051 bytes
references/13_capabilities_native_tools.pyruns5,045 bytes
references/14_hooks.pyruns3,574 bytes
references/15_toolsets_mcp.pyruns3,214 bytes

Read SKILL.md


# Pydantic AI Reference Skill

**Targets Pydantic AI v2** (v2.0.0 released 2026-06-23). See the
[v1 → v2 migration notes](#10-v1--v2-migration-notes) at the end for the
breaking changes this skill's examples already incorporate.

## Pydantic AI Developer Guide

### 0. Environment Setup

Store API keys in a `.env` file and add it to `.gitignore`:
```
[Credential-related source omitted]
[Credential-related source omitted]

View the complete source on GitHub

pydantic-evals

When your agent uses it

Test and evaluate AI agents and LLM outputs using code-first evaluation framework with strong typing. Use when the user wants to: (1) Create evaluation datasets with test cases for AI agents, (2) Define evaluators (deterministic, LLM-as-Judge, custom, or span-based), (3) Run evaluations and generate reports, (4) Compare model performance across experiments, (5) Integrate evaluations with Pydantic AI agents, (6) Set up observability with Logfire, (7) Generate test datasets using LLMs, (8) Implement regression testing for AI systems.

What it loads into context

Frontmatter

135 tokens

Always available to the agent

SKILL.md

2,800 tokens

When the skill is activated

Reference documents

6,349 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

Overview
Core Concepts
Quick Start
Evaluator Types
Integration with Pydantic AI
Logfire Observability
Dataset Management
Best Practices
Common Workflows
Examples
v2 API Changes (Pydantic Evals)
Resources

Scripts executed separately

references/examples/add_custom_evaluators.py
references/examples/agent.py
references/examples/compare_models.py
references/examples/custom_evaluators.py
references/examples/generate_dataset.py
references/examples/models.py
references/examples/unit_testing.py

Files

SKILL.mdcore11,861 bytes
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references/core-concepts.mddoc5,541 bytes
references/evaluator-types.mddoc12,529 bytes
references/examples/add_custom_evaluators.pyruns1,249 bytes
references/examples/agent.pyruns2,019 bytes
references/examples/compare_models.pyruns1,070 bytes
references/examples/custom_evaluators.pyruns3,297 bytes
references/examples/generate_dataset.pyruns2,621 bytes
references/examples/models.pyruns1,776 bytes
references/examples/unit_testing.pyruns2,286 bytes
references/integration.mddoc9,318 bytes

Read SKILL.md


# Pydantic Evals

## Overview

Pydantic Evals provides rigorous testing and evaluation for AI agents and LLM outputs using a code-first approach with Pydantic models. It enables "Evaluation-Driven Development" (EDD) where evaluation suites live alongside application code, subject to version control and CI/CD.

## Core Concepts

Understand these key primitives:

### Case
A single test scenario with inputs, optional expected output, and metadata.

```python

View the complete source on GitHub

Skills included

pydantic-ai-agents
pydantic-evals

Repository facts

License: MIT
Created: Jan 20, 2026
Last pushed: Oct 17, 2026
Forks: 2
Open issues: 0
Project activity: Active

Before you install

Network or broad shell

Automated signals, not a guarantee

Checked Nov 7, 2026

Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.

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No broad tool permissions
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35 network referencesin 8 files: pydantic-ai-agents/references/05_main.py:125 pydantic-ai-agents/references/15_toolsets_mcp.py:48 pydantic-ai-agents/SKILL.md:87 and 5 more
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40 references to secretsin 14 files: pydantic-ai-agents/SKILL.md:18 pydantic-ai-agents/references/05_main.py:31 pydantic-evals/references/integration.md:53 and 11 more
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Show all 97 signals by file

`skills/pydantic-ai-agents/SKILL.md`

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- Explicit: `OpenRouterModel` + `OpenRouterProvider` - OpenRouter model ids are always vendor-prefixed (e.g. `openai/gpt-5.2`,   `anthropic/claude-sonnet-4.6`) - see https://openrouter.ai/models

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`anthropic/claude-sonnet-4.6`) - see https://openrouter.ai/models

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#### Setup: 1. Get API key from https://logfire.pydantic.dev/

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1. Get API key from https://logfire.pydantic.dev/

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Full upgrade guide: https://ai.pydantic.dev/changelog/

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response = await ctx.deps.http_client.get(         f"https://api.example.com/users/{ctx.deps.user_id}/balance",

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Args:         ctx: Runtime context with HTTP client and auth         days: Number of days of history to fetch (default: 7)

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days: Number of days of history to fetch (default: 7)

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response = await ctx.deps.http_client.get(         f"https://api.example.com/users/{ctx.deps.user_id}/transactions",

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response = await ctx.deps.http_client.get(         f"https://api.example.com/users/{ctx.deps.user_id}/reputation",

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# ============================================================================ # With OPENROUTER_API_KEY set in the environment, just prefix the OpenRouter # model id (always '<vendor>/<model>', see https://openrouter.ai/models):

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Prerequisites: - Set LOGFIRE_API_KEY in your .env file (get from https://logfire.pydantic.dev/)

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#   server = MCPToolset( #       command='uvx', args=['mcp-run-python', 'stdio'],  # stdio transport #       # or: url='http://localhost:8000/mcp'             # HTTP transport

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`skills/pydantic-evals/SKILL.md`

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How the signals fit together

Facts from a static read of the files at the pinned commit. They describe what the code does, not why.

Signal confidence: 97 facts

Access to secrets in code of the SKILL.md: a variable, placeholder or call, not a stored valuepydantic-ai-agents/SKILL.md:18Low confidence
Access to secrets in code of the SKILL.md: a variable, placeholder or call, not a stored valuepydantic-ai-agents/SKILL.md:19Low confidence
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Network access in a comment of a file that runspydantic-ai-agents/references/06_openrouter.py:25Low confidence
Network access in a comment of a file that runspydantic-ai-agents/references/06_openrouter.py:26Low confidence
Access to secrets in a comment of a file that runspydantic-ai-agents/references/06_openrouter.py:26Low confidence
Network access in a comment of a file that runspydantic-ai-agents/references/06_openrouter.py:27Low confidence
Access to secrets in code of a file that runs: a variable, placeholder or call, not a stored valuepydantic-ai-agents/references/06_openrouter.py:40Low confidence

and 47 more

Works with

Agent compatibility, from the files in this repository
Agent	Status	Evidence	Install to
Claude Code	Native	Path CLAUDE.md	`.claude/skills/<skill-name>/`
Codex	Compatible	Standard SKILL.md skills/pydantic-ai-agents/SKILL.md	`.agents/skills/<skill-name>/`
Cursor	Compatible	Standard SKILL.md skills/pydantic-ai-agents/SKILL.md	`.cursor/skills/<skill-name>/`
Gemini CLI	Compatible	Standard SKILL.md skills/pydantic-ai-agents/SKILL.md	`.gemini/skills/<skill-name>/`
GitHub Copilot	Compatible	Standard SKILL.md skills/pydantic-ai-agents/SKILL.md	`.github/skills/<skill-name>/`
OpenCode	Compatible	Standard SKILL.md skills/pydantic-ai-agents/SKILL.md	`.opencode/skills/<skill-name>/`

Native The repository ships a manifest, folder or frontmatter field for this agent.
Compatible A standard SKILL.md that this agent can read.
Unknown No evidence either way.

Derived automatically from paths, manifests and frontmatter. Not tested on each agent.

Fuenfgeld/pydantic-ai-skills

History

skills/pydantic-ai-agents/SKILL.md

skills/pydantic-evals/SKILL.md

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Individual skills in this repository

How it works

pydantic-ai-agents

Frontmatter

SKILL.md

Reference documents

The playbook

Scripts executed separately

Files

pydantic-evals

Frontmatter

SKILL.md

Reference documents

The playbook

Scripts executed separately

Files

Skills included

Repository facts

Before you install

skills/pydantic-ai-agents/SKILL.md

skills/pydantic-ai-agents/references/01_dependencies.py

skills/pydantic-ai-agents/references/02_prompts.py

skills/pydantic-ai-agents/references/03_tools.py

skills/pydantic-ai-agents/references/04_validators.py

skills/pydantic-ai-agents/references/05_main.py

skills/pydantic-ai-agents/references/06_openrouter.py

skills/pydantic-ai-agents/references/07_logfire.py

skills/pydantic-ai-agents/references/08_streaming.py

skills/pydantic-ai-agents/references/09_result_validators.py

skills/pydantic-ai-agents/references/10_model_settings.py

skills/pydantic-ai-agents/references/11_multi_agent.py

skills/pydantic-ai-agents/references/12_conversation_history.py

skills/pydantic-ai-agents/references/13_capabilities_native_tools.py

skills/pydantic-ai-agents/references/14_hooks.py

skills/pydantic-ai-agents/references/15_toolsets_mcp.py

skills/pydantic-evals/SKILL.md

skills/pydantic-evals/references/evaluator-types.md

skills/pydantic-evals/references/examples/add_custom_evaluators.py

skills/pydantic-evals/references/examples/agent.py

skills/pydantic-evals/references/examples/compare_models.py

skills/pydantic-evals/references/examples/custom_evaluators.py

skills/pydantic-evals/references/examples/generate_dataset.py

skills/pydantic-evals/references/examples/models.py

skills/pydantic-evals/references/examples/unit_testing.py

skills/pydantic-evals/references/integration.md

How the signals fit together

Works with

You might also use

DougTrajano/pydantic-ai-skills

KKKKhazix/khazix-skills

foryourhealth111-pixel/Vibe-Skills

aeonfun/aeon

AMD-AGI/Hyperloom

RefoundAI/lenny-skills

`skills/pydantic-ai-agents/SKILL.md`

`skills/pydantic-evals/SKILL.md`

`skills/pydantic-ai-agents/SKILL.md`

`skills/pydantic-ai-agents/references/01_dependencies.py`

`skills/pydantic-ai-agents/references/02_prompts.py`

`skills/pydantic-ai-agents/references/03_tools.py`

`skills/pydantic-ai-agents/references/04_validators.py`

`skills/pydantic-ai-agents/references/05_main.py`

`skills/pydantic-ai-agents/references/06_openrouter.py`

`skills/pydantic-ai-agents/references/07_logfire.py`

`skills/pydantic-ai-agents/references/08_streaming.py`

`skills/pydantic-ai-agents/references/09_result_validators.py`

`skills/pydantic-ai-agents/references/10_model_settings.py`

`skills/pydantic-ai-agents/references/11_multi_agent.py`

`skills/pydantic-ai-agents/references/12_conversation_history.py`

`skills/pydantic-ai-agents/references/13_capabilities_native_tools.py`

`skills/pydantic-ai-agents/references/14_hooks.py`

`skills/pydantic-ai-agents/references/15_toolsets_mcp.py`

`skills/pydantic-evals/SKILL.md`

`skills/pydantic-evals/references/evaluator-types.md`

`skills/pydantic-evals/references/examples/add_custom_evaluators.py`

`skills/pydantic-evals/references/examples/agent.py`

`skills/pydantic-evals/references/examples/compare_models.py`

`skills/pydantic-evals/references/examples/custom_evaluators.py`

`skills/pydantic-evals/references/examples/generate_dataset.py`

`skills/pydantic-evals/references/examples/models.py`

`skills/pydantic-evals/references/examples/unit_testing.py`

`skills/pydantic-evals/references/integration.md`