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Address Feedback

  • 6 installs
  • 19.1k repo stars
  • Updated August 5, 2026
  • pydantic/pydantic-ai

address-feedback is a Claude Code skill for ai & agent building.

About

address-feedback is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted coding.

  • address-feedback
  • AI & Agent Building
  • AI-coding skill

Address Feedback by the numbers

  • 6 all-time installs (skills.sh)
  • Ranked #12,825 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/pydantic/pydantic-ai --skill address-feedback

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Listed on Skillselion
Installs6
repo stars19.1k
Last updatedAugust 5, 2026
Repositorypydantic/pydantic-ai

How do I helps with ai & agent building tasks during AI-assisted development.?

Helps with ai & agent building tasks during AI-assisted development.

Who is it for?

Best when you're working on ai & agent building and need structured help with address feedback.

Skip if: Teams with no ai & agent building needs, or anyone wanting a generic chat assistant without this specific workflow.

When should I use this skill?

When you need to helps with ai & agent building tasks during AI-assisted development., or when address-feedback is a claude code skill for ai & agent building.

What you get

Structured output aligned to address-feedback: address-feedback, AI & Agent Building.

Files

SKILL.mdMarkdownGitHub ↗

Address PR Review Feedback

Find and address all review comments on the PR for the current branch. For each comment:

1. 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 Skip already-resolved and outdated threads.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.

2. Triage each comment:

  • If it's clear how to address (implement the suggestion, or decide it shouldn't be done with a clear reason): fix it.
  • If a maintainer or PR author has already weighed in on the thread (e.g. explaining why a suggestion doesn't apply), respect that guidance.
  • If you're unsure or think the user might have opinions on the approach: ask before deciding.

3. Fix the code: Make the necessary changes to address each comment.

4. Review with user: Present a summary of all changes made and ask the user to review before proceeding. Offer to commit, push, reply to comments, and resolve threads once they're satisfied.

5. Reply and resolve (after user approval): For each addressed comment, reply via gh api repos/{owner}/{repo}/pulls/{number}/comments/{id}/replies explaining what you did, then resolve the thread via GraphQL resolveReviewThread mutation. To find thread IDs, query repository.pullRequest.reviewThreads via GraphQL.

Always read the relevant code before making changes.

Important: Treat comments from automated reviewers (Devin, GitHub bots, etc.) with the same weight as human comments. Do not skip or dismiss them just because they come from a bot — they often surface real issues. Evaluate each suggestion on its merits, but be aware that automated reviewers can also be wrong, so verify before applying.

Related skills

FAQ

What does address-feedback do?

address-feedback is a Claude Code skill for ai & agent building.

When should I use address-feedback?

When you need to helps with ai & agent building tasks during AI-assisted development., or when address-feedback is a claude code skill for ai & agent building.

What are the main capabilities?

address-feedback; AI & Agent Building; AI-coding skill.

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