pydantic/pydantic-ai-harness

---

name: adopt-pr

description: 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 someone else's) without prior local context.

---

name: branch-context

description: 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.

---

name: pushing-commits-to-the-repo

description: 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.

---

name: migrating-deep-agents-to-pydantic-ai-harness

description: 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.

---

name: pydantic-ai-harness

description: 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 mentions pydantic-ai-harness, CodeMode, Monty, code mode, or tool sandboxing, when they want first-party filesystem/shell/sub-agent/planning/compaction capabilities for a Pydantic AI agent, when they want an agent to run agent-written Python, or when a Pydantic AI agent would benefit from orchestrating multiple tool calls in a single sandboxed script.