Verified:GitHub

embed-ci-setup

Generate compliant GitLab CI pipelines with SonarQube incremental scanning for embedded C repositories.

42|7|Updated Apr 17, 2026

Search Tags:#quality-gate #gitlab-ci #sonarqube #merge-request #ci-pipeline #embedded-c #incremental-scanning

One-click install

npx skills add https://github.com/addxai/enterprise-harness-engineering --skill embed-ci-setup

Or copy as Structured Prompt for Agent▼

Please help me install this Agent Skill.
Skill: embed-ci-setup
Source: https://github.com/addxai/enterprise-harness-engineering/tree/main/skills/embed-ci-setup
Command: npx skills add https://github.com/addxai/enterprise-harness-engineering --skill embed-ci-setup

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Embedded software teams often enforce a rule that repositories without a CI pipeline cannot merge merge requests, but manually creating a compliant GitLab CI pipeline with SonarQube incremental scanning for C code is time-consuming and error-prone due to strict company-mandated CI constraints.

Core Features & Use Cases

Compliant CI Configuration Generation: Automatically creates or updates GitLab CI configs that adhere to company rules, including no custom stages, required runner tags, and correct include methods to avoid pipeline failures.
SonarQube Incremental Scanning Setup: Configures merge request-triggered SonarQube scans that only analyze changed .c/.h files, with non-blocking quality gate checks to prevent unnecessary MR blocks.
Use Case: An embedded engineer working on a C-language repository with no existing CI pipeline can use this skill to generate all required configuration files in minutes, meeting the team's merge eligibility rule without manual trial and error.

Quick Start

Use the embed-ci-setup skill to add a compliant GitLab CI pipeline with SonarQube incremental scanning to your embedded C language repository.

Frequently Asked Questions about embed-ci-setup

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

FAQPage Schema

How do I set up a GitLab CI pipeline for embedded C code with SonarQube?▼

To set up a GitLab CI pipeline for embedded C code, this skill generates compliant configuration files that integrate SonarQube incremental scanning, automatically targeting only changed .c/.h files to satisfy merge request eligibility rules without manual trial and error.

How does SonarQube incremental scanning work for merge requests in GitLab CI?▼

SonarQube incremental scanning for merge requests works by triggering analysis exclusively on changed .c/.h files within the GitLab CI pipeline, performing non-blocking quality gate validation to ensure code quality checks do not unnecessarily block the MR.

Can I add SonarQube scanning to an existing GitLab CI pipeline without custom stages?▼

Yes, you can add SonarQube scanning to an existing pipeline without custom stages, as this skill updates GitLab CI configurations to adhere strictly to mandated company constraints, including prohibited custom stages and required runner tags.

What is the best way to generate sonar-project.properties for embedded C repositories?▼

The best way to generate sonar-project.properties for embedded C repositories is using automated dynamic generation from repository paths, which this skill configures to ensure accurate SonarQube incremental code scanning setup.

Why does my embedded C merge request fail the quality gate in GitLab CI?▼

Embedded C merge requests often fail quality gates due to non-compliant CI configurations; this skill prevents such failures by generating GitLab CI pipelines with non-blocking quality gate validation and correct include methods.

Do I need a specific GitLab runner to execute SonarQube scans for embedded C?▼

You need a GitLab runner with mandated tags to execute SonarQube scans for embedded C, as this skill ensures the generated CI pipeline configurations strictly adhere to required runner tags to avoid pipeline failures in standardized company environments.