Agent skills by pydantic

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

Read the review comments left by the known agent reviewers on the current PR, resolve and reply.

pydantic/monty

Build AI agents with Pydantic AI — tools, capabilities (including on-demand loading), workspaces, structured output, streaming, testing, and multi-agent patterns.

pydantic/pydantic-ai

Evaluate and complete an issue or PR where the submitted patch fixes only a narrow symptom of the reported pain point.

pydantic/pydantic-ai

Run and test Python code in a dedicated playground directory.

pydantic/monty

Record, rewrite, and debug VCR cassettes for HTTP recordings.

pydantic/pydantic-ai

Review the current branch against its merge base for bugs, CPython divergence, sandbox escapes, resource-limit escapes, performance regressions, verbose comments and missing ./limitations/ or docs/…

pydantic/monty

Fills in issue-brief.md and pr-decisions.md for an existing pull request, so you can pick up a PR mid-flight with its linked issue and past review decisions summarized.

pydantic/pydantic-ai-harness

Migrate Python Agno applications to Pydantic AI and, only when needed, Pydantic AI Harness.

pydantic/pydantic-ai

Security review of the current branch against its merge base — sandbox escapes, memory errors, panics and resource-limit bypasses.

pydantic/monty

Migrate Python applications from the Claude Agent SDK to Pydantic AI and, only when needed, Pydantic AI Harness.

pydantic/pydantic-ai

Keeps a branch-local issue brief, decision log and session handoffs so a pull request's context survives across separate agent sessions.

pydantic/pydantic-ai-harness

How to write prose that reads like human technical documentation rather than LLM output.

pydantic/monty

Migrates Python LangChain Deep Agents applications to Pydantic AI and Pydantic AI Harness while preserving the application's observed behavior.

pydantic/pydantic-ai

What to do when you open a PR and every time you push -- label the PR, watch CI to green, triage every review comment to a reply and a reaction, and escalate genuine design trade-offs to maintainers.

pydantic/pydantic-ai-harness

Monitor hosts, Docker containers, Kubernetes clusters, database/queue/cache servers, and cloud-provider metrics with Pydantic Logfire — no application code required.

pydantic/skills

Check whether the common Python code an LLM would plausibly write still works on this branch, testing real cases in ./playground against CPython.

pydantic/monty

Migrate Python Google Agent Development Kit (ADK) applications to Pydantic AI.

pydantic/pydantic-ai

Query and analyze Logfire telemetry data — traces, logs, spans, metrics, summaries, and SQL results.

pydantic/skills

Migrate Python LangChain, LangGraph, or Deep Agents applications to Pydantic AI and, when the source uses harness features, Pydantic AI Harness.

pydantic/pydantic-ai

Fetch coverage diff from Codecov for the current branch or a specific PR.

pydantic/monty

Extend Pydantic AI agents with batteries-included capabilities from pydantic-ai-harness -- Code Mode (collapse many tool calls into one sandboxed Python execution), a filesystem and shell…

pydantic/skills

Migrate TypeScript Mastra applications to Python with Pydantic AI and, only when needed, Pydantic AI Harness.

pydantic/pydantic-ai

Rewrite excessively verbose comments and docstrings added by this branch, and delete tautologous ones.

pydantic/monty

Migrate Python OpenAI Agents SDK applications to Pydantic AI and, when warranted, Pydantic AI Harness.

pydantic/pydantic-ai

Build AI agents with Pydantic AI — tools, capabilities (including on-demand loading), structured output, streaming, testing, and multi-agent patterns.

pydantic/skills

Migrate TypeScript Pi coding-agent applications, extensions, or packages to Python with Pydantic AI and Pydantic AI Harness.

pydantic/pydantic-ai

Run offline Python (pydanticevals) or Node.js (logfire/evals) evaluations and review them in Logfire.

pydantic/skills

Use fastmod to make mass code updates to avoid many repetitive changes.

pydantic/monty

Migrate TypeScript Vercel AI SDK or Eve applications to Python with Pydantic AI and, only when needed, Pydantic AI Harness.

pydantic/pydantic-ai

Add support for a newly-released language or image generation model in pydantic-ai (e.g.

pydantic/pydantic-ai

Add Pydantic Logfire observability to application code — traces, logs, metrics, and AI/agent spans.

pydantic/skills

Covers what to do on opening a pull request and after every push: apply a label, watch CI to green, answer every review comment and escalate real design trade-offs.

pydantic/pydantic-ai

Add a new provider API capability (prompt caching, strict/structured tool calling, thinking/reasoning effort, service tier, safety settings, logprobs, etc.) to Pydantic AI.

pydantic/pydantic-ai

Shape every response for an ADHD reader who reviews the work but does not do the coding — the agent does.

pydantic/pydantic-ai

Independent power-user audit of a big new-feature PR. An agent skill from pydantic/pydantic-ai.

pydantic/pydantic-ai

Open or return Logfire project pages, live views, trace links, and Explore pages in the Codex browser without querying telemetry first.

pydantic/skills

Use as the final documentation gate before a pydantic-ai-harness capability PR merges.

pydantic/pydantic-ai

Pydantic is a Python data validation and serialization library, based on type hints.

pydantic/skills

Find and address unresolved PR review comments for the current branch, then continue the canonical push, reply, reaction, and resolution workflow.

pydantic/pydantic-ai

Entry point for Pydantic Logfire — an observability, monitoring, and evals platform.

pydantic/skills