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github-operator

Automates GitHub delivery from code implementation to pull request submission.

Updated Oct 25, 2025
Search Tags:#automation#workflow#commit#github#issue-tracking#pull-request#code-validation
One-click install
npx skills add https://github.com/SoloXLab/perfetto-dsl --skill github-operator-soloxlab
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: github-operator
Source: https://github.com/SoloXLab/perfetto-dsl/tree/main/.agents/skills/github-operator
Command: npx skills add https://github.com/SoloXLab/perfetto-dsl --skill github-operator-soloxlab

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manually managing the full GitHub delivery cycle from code implementation to pull request creation and issue closure is time-consuming, error-prone, and lacks consistent auditability and guardrails to prevent mistakes like leaking sensitive information or merging unvalidated changes.

Core Features & Use Cases

  • End-to-end Delivery Automation: Handles the full workflow of implementing changes, running validation, creating standardized commits, and submitting structured pull requests linked to specific GitHub issues.
  • Built-in Guardrails: Enforces rules like preventing unvalidated merges, blocking sensitive data submission, and keeping commits and PRs focused on single, related changes.
  • Use Case: Software engineering teams or AI agents working on GitHub repositories can use this skill to eliminate repetitive manual delivery steps, ensure consistent compliance with project workflows, and automatically close linked issues after PR merges.

Quick Start

Use the github-operator skill to implement the changes required for GitHub issue #456, run the project's lint and test validation commands, create a pull request with a structured description covering background, changes, and validation results, and ensure the linked issue is closed once the PR is merged.

Frequently Asked Questions about github-operator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate a GitHub pull request workflow from code implementation to issue closure?▼

Automating a GitHub pull request workflow involves implementing changes, running validation checks, creating standardized commits, and submitting structured pull requests that automatically close linked issues upon merge.

What is the best way to prevent sensitive data leakage during automated GitHub commits?▼

Preventing sensitive data leakage during automated GitHub commits requires built-in guardrails that block unvalidated merges, enforce rule-based checks, and restrict commits to focused, project-specific changes only.

How do I create standardized commit messages and structured PR documentation linked to GitHub issues?▼

Creating standardized commit messages and structured PR documentation linked to GitHub issues requires generating automated descriptions covering background, changes, and validation results tied directly to specific issue tracking numbers.

Can I use GitHub delivery automation for AI agent software engineering scenarios?▼

GitHub delivery automation supports AI agent software engineering scenarios by executing auditable, guardrail-compliant operations that replace repetitive manual delivery steps with standardized, validated code integration workflows.

Does automated GitHub workflow automation run project lint and test validation commands before PR submission?▼

Automated GitHub workflow automation runs project lint and test validation commands before PR submission to ensure code quality, enforce guardrails against unvalidated merges, and document validation results in the pull request.

Why should I use end-to-end GitHub delivery automation instead of manual pull request creation?▼

Using end-to-end GitHub delivery automation instead of manual pull request creation eliminates errors, enforces consistent auditability, standardizes commit messages, and ensures validated code merges across software engineering teams.

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