Finishing a Development Branch
obra/superpowers
Walks the last step of a branch: confirm tests pass, detect the git environment, ask how to integrate, carry out your choice and clean up the worktree.
Find and address unresolved PR review comments for the current branch, then continue the canonical push, reply, reaction, and resolution workflow.
$ npx skills add pydantic/pydantic-ai --skill address-feedback -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install pydantic/pydantic-ai address-feedback --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/pydantic/pydantic-ai.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/address-feedback .claude/skills/address-feedback && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "address-feedback" agent skill from https://github.com/pydantic/pydantic-ai/tree/main/.claude/skills/address-feedback into .claude/skills/address-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "address-feedback", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/pydantic/pydantic-ai/tree/main/.claude/skills/address-feedbackType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add pydantic/pydantic-ai --skill address-feedback -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install pydantic/pydantic-ai address-feedback --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pydantic/pydantic-ai.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/address-feedback .agents/skills/address-feedback && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "address-feedback" agent skill from https://github.com/pydantic/pydantic-ai/tree/main/.claude/skills/address-feedback into .agents/skills/address-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "address-feedback", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add pydantic/pydantic-ai --skill address-feedback -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install pydantic/pydantic-ai address-feedback --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pydantic/pydantic-ai.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/address-feedback .cursor/skills/address-feedback && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "address-feedback" agent skill from https://github.com/pydantic/pydantic-ai/tree/main/.claude/skills/address-feedback into .cursor/skills/address-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "address-feedback", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/pydantic/pydantic-ai.git --path .claude/skills/address-feedback--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add pydantic/pydantic-ai --skill address-feedback -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install pydantic/pydantic-ai address-feedback --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pydantic/pydantic-ai.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/address-feedback .gemini/skills/address-feedback && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "address-feedback" agent skill from https://github.com/pydantic/pydantic-ai/tree/main/.claude/skills/address-feedback into .gemini/skills/address-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "address-feedback", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install pydantic/pydantic-ai address-feedbackInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add pydantic/pydantic-ai --skill address-feedback -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/pydantic/pydantic-ai.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/address-feedback .github/skills/address-feedback && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "address-feedback" agent skill from https://github.com/pydantic/pydantic-ai/tree/main/.claude/skills/address-feedback into .github/skills/address-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "address-feedback", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add pydantic/pydantic-ai --skill address-feedback -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install pydantic/pydantic-ai address-feedback --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pydantic/pydantic-ai.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/address-feedback .opencode/skills/address-feedback && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "address-feedback" agent skill from https://github.com/pydantic/pydantic-ai/tree/main/.claude/skills/address-feedback into .opencode/skills/address-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "address-feedback", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
address-feedbackFind and address unresolved PR review comments for the current branch, then continue the canonical push, reply, reaction, and resolution workflow.
Address Feedback is an agent skill from pydantic/pydantic-ai, published by the product's own GitHub organization. Find and address unresolved PR review comments for the current branch, then continue the canonical push, reply, reaction, and resolution workflow.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Development, covering Pull requests. It works with Pydantic AI. The repository describes itself as: How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end. The licence is MIT.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit f55bb8a. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
ghFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use gh, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Address Feedback loads about 1.1k tokens when it runs. Until then it costs about 41 tokens; SKILL.md has 671 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from pydantic/pydantic-ai at commit f55bb8a, republished under its MIT licence (© pydantic). 671 words, ~1,141 tokens.
.claude/skills/address-feedback/SKILL.md (or your agent's skills folder).Find and address all review comments on the PR for the current branch. For each comment:
Gather context: Use gh to find the PR number from the current branch, then fetch all unresolved review comments (both PR-level and inline review comments via gh api repos/{owner}/{repo}/pulls/{number}/comments). Skip already-resolved and outdated threads. Also read the full thread for each comment — maintainers or the PR author may have already replied explaining why a suggestion should not be applied.
Triage each comment: A review comment — bot or human — is evidence to weigh, never an acceptance criterion. This PR's acceptance criteria are its linked issue, the repository instructions, and settled maintainer decisions. Sort each comment into fix, decline, escalate or file; one that clears the gates below is a fix.
pydantic_ai/_agent_graph.py, pydantic_ai/_run_context.py, pydantic_ai/messages.py, pydantic_ai/tools.py, a base class, a serialized dataclass) — means the finding has outgrown the PR's stated scope. Implement it here only on the root AGENTS.md bar for the case at hand — a sibling field, provider or model needs the same defect reproduced there; a shared protocol, helper or abstraction needs the narrow fix to be unavailable, or the refactor to be itself the confirmed fix — and only when including it neither explodes scope nor delays an already mergeable PR. Otherwise escalate it per pushing-commits-to-the-repo ("Escalate real trade-offs, don't guess") when it needs a maintainer decision, or file it as its own issue when it is real but belongs elsewhere. Tests and documentation this change already owes are in scope, not an expansion.AGENTS.md requirement to "leave behavior unchanged for users who aren't hitting the problem you are solving". Re-scope or escalate; never implement and document.TestModel values. pydantic_ai_slim/pydantic_ai/models/AGENTS.md exempts changes to the tool-call arguments and text TestModel generates from both bars above, on the conditions it sets.pushing-commits-to-the-repo ("Invalid"), rather than filing it.Fix the code: Make the changes for each comment triage sent to fix.
Continue the PR loop: Follow pushing-commits-to-the-repo from its Before you push section.
Use the canonical close-out: Apply every required reply, reaction, and resolution step from that workflow. For each completed comment, explain what changed or why no change was needed. Then resolve the thread via GraphQL resolveReviewThread. Leave threads open only when a decision or another person's response is pending.
Always read the relevant code before making changes.
Important: Automated reviewers surface real issues and are never skipped — every finding gets a reply and a reaction. But a bot cannot approve a scope expansion, and its severity label carries no authority. A HIGH on a defect that does not reproduce is a 👎. Refuting one leaves CI Review's REQUEST_CHANGES standing; a later push re-runs the review, and the verdict clears only if that run stops finding the HIGH. Say so when you hand the PR back.
© pydantic, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .claude/skills/address-feedback of pydantic/pydantic-ai.
Open the folder on GitHubat commit f55bb8a
Address Feedback next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Address Feedback this skillpydantic/pydantic-ai | 20k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Finishing a Development Branchobra/superpowers | 296k | 5 repos | ~1.9k | Automated safety check: Pass | MIT | |
| PR Babysitteropeninterpreter/openinterpreter | 69k | 3 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Check PRonyx-dot-app/onyx | 32k | 2 repos | ~2.3k | Automated safety check: Pass | MIT | |
| Understand Diff AnalysisEgonex-AI/Understand-Anything | 86k | 1 repos | ~1.4k | Automated safety check: Pass | MIT | |
| PR Design DocOpenHands/OpenHands | 90k | — | ~2.4k | Automated safety check: Pass | MIT |
obra/superpowers
Walks the last step of a branch: confirm tests pass, detect the git environment, ask how to integrate, carry out your choice and clean up the worktree.
openinterpreter/openinterpreter
Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.
onyx-dot-app/onyx
Checks a GitHub, GitLab, or Perforce (p4) pull request (or merge request, or shelved changelist) for unresolved review comments, failing status checks, and incomplete PR descriptions.
Egonex-AI/Understand-Anything
Reads your git changes or a pull request against a prebuilt knowledge graph of the project to explain what changed, which components are affected and what is risky.
OpenHands/OpenHands
For a non-trivial pull request, write a self-contained HTML design doc under the temporary .pr/ directory and link a visibility-appropriate preview in the PR description, so maintainers grasp the…
woocommerce/woocommerce
Reviews WooCommerce code changes against the project's standards, flagging backend PHP architecture, naming, documentation, data integrity and testing violations.
pydantic/pydantic-ai
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
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
Record, rewrite, and debug VCR cassettes for HTTP recordings.
pydantic/pydantic-ai
Migrate Python Agno applications to Pydantic AI and, only when needed, Pydantic AI Harness.
pydantic/pydantic-ai
Migrate Python applications from the Claude Agent SDK to Pydantic AI and, only when needed, Pydantic AI Harness.
Works with
Categories
Find and address unresolved PR review comments for the current branch, then continue the canonical push, reply, reaction, and resolution workflow. Address Feedback is an agent skill from pydantic/pydantic-ai, published by the product's own GitHub organization. Find and address unresolved PR review comments for the current branch, then continue the canonical push, reply, reaction, and resolution workflow.
Address Feedback fits situations like: tasks that involve Pull requests.
Run `npx skills add pydantic/pydantic-ai --skill address-feedback -a claude-code`. Or copy the skill folder (.claude/skills/address-feedback in pydantic/pydantic-ai) into .claude/skills/address-feedback in your project. Claude Code loads it when a task matches its description.
Run `npx skills add pydantic/pydantic-ai --skill address-feedback -a codex`. Or copy the skill folder (.claude/skills/address-feedback in pydantic/pydantic-ai) into .agents/skills/address-feedback in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add pydantic/pydantic-ai --skill address-feedback -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/address-feedback, .gemini/skills/address-feedback, .github/skills/address-feedback and .opencode/skills/address-feedback in your project.
Going by SKILL.md and its folder, Address Feedback needs the command-line tools its instructions call (gh).
SKILL.md contains no URLs. Its commands use gh, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Address Feedback is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.1k tokens (SKILL.md is roughly 4.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Address Feedback: Finishing a Development Branch (obra/superpowers, 296k stars), PR Babysitter (openinterpreter/openinterpreter, 69k stars), Check PR (onyx-dot-app/onyx, 32k stars) and Understand Diff Analysis (Egonex-AI/Understand-Anything, 86k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
pydantic (a GitHub organization, an official publisher) maintains it in pydantic/pydantic-ai, which has 20,476 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on October 8, 2026.
Source: pydantic/pydantic-ai on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.