pydantic

Build AI agents with Pydantic AI — tools, capabilities (including on-demand loading), structured output, streaming, testing, and multi-agent patterns. Use when the user mentions Pydantic AI, imports pydantic_ai, or asks to build an AI agent, add…

Migrate Python LangChain or LangGraph applications to Pydantic AI. Use for LangChain agents, chains, LCEL, or direct LangGraph graphs, persistence, interrupts, and streaming. Do not use for migrations centered on `create_deep_agent` or Deep Agents harness…

Add support for a newly-released LLM model in pydantic-ai (e.g. openai:gpt-5.6, anthropic:claude-sonnet-5). Use when a provider ships a new model id and you need to wire literals, profile flags, and tests to recognize it. Handles SDK-lag, gateway list…

Open and advance a PR — write a current title and body, label it, review before every push, watch CI, and triage every comment. Use whenever you open a PR or push a commit to one.

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

Add a new provider API capability (prompt caching, strict/structured tool calling, thinking/reasoning effort, service tier, safety settings, logprobs, etc.) to Pydantic AI. Use when wiring a provider feature through the library — it enforces reasoning from…

Shape every response for an ADHD reader who reviews the work but does not do the coding — the agent does. Use whenever responding to ANY message — coding, debugging, planning, casual. Lead with the result or the decision. Surface anything needing the user's…

Independent power-user audit of a big new-feature PR. Research the feature domain from external sources before reading any implementation code, design the ideal test suite from a power-user's perspective, then gap-compare it against the PR to produce…

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/ updates. Use for a general pre-merge review of a branch or PR.

How to write prose that reads like human technical documentation rather than LLM output. Use whenever writing or editing docstrings, comments, limitations/ docs, READMEs, commit messages or PR descriptions, and when prose reads as smooth, salesy or generic.

Security review of the current branch against its merge base — sandbox escapes, memory errors, panics and resource-limit bypasses. Use when reviewing changes for security risk, or before merging anything touching heap.rs, path_security.rs, the wire protocol…

Read the review comments left by the known agent reviewers on the current PR, resolve and reply. Use when asked to deal with PR comments, review feedback, or bot review findings.

Fetch coverage diff from Codecov for the current branch or a specific PR. Shows uncovered lines, patch coverage, and overall coverage change.

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

Run and test Python code in a dedicated playground directory. Use when you need to execute Python scripts, test code snippets, investigate CPython behavior, or experiment with Python without affecting the main codebase.

Check whether the common Python code an LLM would plausibly write still works on this branch, testing real cases in ./playground against CPython. Use to find behaviour that diverges from CPython or trips up ordinary idiomatic code.

Evaluate Python AI/agent code against a dataset of test cases using pydantic_evals, and review results in Logfire's Datasets & Experiments UI. Also covers redirecting an existing Braintrust Eval() suite to Logfire with no code changes. Use this skill whenever…

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…

Add Pydantic Logfire observability to APPLICATION CODE — traces, logs, metrics, and AI/agent spans — and send as much useful telemetry as possible. Use this skill whenever the user asks to "add logfire", "instrument with logfire", "add observability", "add…

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…

Create a PR in which all dependencies are updated to their latest versions and CI is passing. Only user initiated.

Build AI agents with Pydantic AI — tools, capabilities (including on-demand loading), structured output, streaming, testing, and multi-agent patterns. Use when the user mentions Pydantic AI, imports pydantic_ai, or asks to build an AI agent, add…

Add Pydantic Logfire observability to applications and send as much useful telemetry as possible. Use this skill whenever the user asks to "add logfire", "instrument with logfire", "add observability", "add tracing", "configure logfire", "add monitoring",…

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.

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…

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…

Branch-local durable PR state -- issue brief, decisions log, and session handoffs. Read the brief, decisions, and latest handoff at session start; append decisions as you work; write a handoff only on user request or explicit session turnover.

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. Use whenever you open a PR or push a commit to one.

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, sub-agents, planning, context compaction, and more. Use when the user…

Bootstrap branch-context on an existing PR. Writes issue-brief.md from the linked issue(s) + current PR state, and backfills pr-decisions.md with decision-bearing entries from already-resolved review threads. Use when picking up a PR mid-flight (yours or…

Add a new inference provider to genai-prices, including provider data, matching, usage extractors, update automation, cassettes, agentic checks, generated artifacts, and Python/JavaScript parity tests. Use for a new provider, not a new model on an existing…

Add a new LLM model (or provider) to genai-prices pricing data, or change the price of one that is already there. Use when asked to add/update pricing for a model — e.g. "add grok 4.5", "add the new Claude", "update openai o5 prices", "provider X cut its…

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.

Create a deck with deckx. Use when the user mentions "deckx", "deck" or "slides", asks to build a slide deck from MDX, asks to convert a brand palette into a deck stylesheet, or asks how to convert a deckx HTML deck into a PDF. Covers project layout,…