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Receiving Code Review

Listed
srbhr·vlatest·backend·Apache-2.0

Analyzes code reviews from SRBHR, identifying potential bugs, style issues, and areas for improvement based on established guidelines.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Installs under a different name. Its SKILL.md names it resume-matcher, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add srbhr/resume-matcher --skill resume-matcher -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

srbhr

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. no SKILL.md in the repository Source recorded as srbhr/resume-matcher.
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

The receiving-code-review skill enables AI agents to accept and process code reviews from human developers or other automated systems, facilitating collaborative development workflows. It allows agents to parse review feedback, update their codebase accordingly, and respond with status confirmations without requiring manual intervention.

When to use it

  • An agent has just pushed a new feature branch and needs to automatically pull in peer feedback before merging.
  • A continuous integration pipeline triggers a code review task that the agent must acknowledge and act upon.
  • You are building a pair-programming bot that listens for real-time suggestions from senior developers.
  • The agent needs to update its documentation or implementation based on specific constraints noted in a pull request comment.

Key capabilities

  • Accepts structured feedback regarding code quality, security vulnerabilities, or logic errors.
  • Parses comments and suggestions directly from review platforms or chat interfaces.
  • Updates the local codebase state to reflect accepted changes or requested modifications.
  • Generates acknowledgment messages confirming receipt of specific review points.

Example prompts

"Please receive the latest code review for my authentication module and apply the suggested security fixes." "I have a new pull request ready; can you set up receiving-code-review to listen for feedback from the team?" "Analyze the attached review comments on my data pipeline script and update the implementation based on the performance warnings."

Tips & gotchas

Ensure the AI agent has read permissions on the code repository or chat channel where reviews are posted, otherwise it cannot access the feedback. This skill is most effective when combined with a separate submitting-code-review skill to create a complete review loop.