CI CD Pipeline Builder

Generate pragmatic CI/CD pipelines from detected project stack signals — fast baseline generation, repeatable checks, environment-aware deployment stages. Use when setting up CI for a new project, refactoring existing pipelines, or standardizing deployment workflows across multiple repos.

Published by @Alireza Rezvani·0 agent reads / 30d·0 saves·

CI/CD Pipeline Builder

Tier: POWERFUL
Category: Engineering
Domain: DevOps / Automation

Overview

Use this skill to generate pragmatic CI/CD pipelines from detected project stack signals, not guesswork. It focuses on fast baseline generation, repeatable checks, and environment-aware deployment stages.

Core Capabilities

  • Detect language/runtime/tooling from repository files
  • Recommend CI stages (lint, test, build, deploy)
  • Generate GitHub Actions or GitLab CI starter pipelines
  • Include caching and matrix strategy based on detected stack
  • Emit machine-readable detection output for automation
  • Keep pipeline logic aligned with project lockfiles and build commands

When to Use

  • Bootstrapping CI for a new repository
  • Replacing brittle copied pipeline files
  • Migrating between GitHub Actions and GitLab CI
  • Auditing whether pipeline steps match actual stack
  • Creating a reproducible baseline before custom hardening

Key Workflows

1. Detect Stack

python3 scripts/stack_detector.py --repo . --format text
python3 scripts/stack_detector.py --repo . --format json > detected-stack.json

Supports input via stdin or --input file for offline analysis payloads.

2. Generate Pipeline From Detection

python3 scripts/pipeline_generator.py \
  --input detected-stack.json \
  --platform github \
  --output .github/workflows/ci.yml \
  --format text

Or end-to-end from repo directly:

python3 scripts/pipeline_generator.py --repo . --platform gitlab --output .gitlab-ci.yml

3. Validate Before Merge

  1. Confirm commands exist in project (test, lint, build).
  2. Run generated pipeline locally where possible.
  3. Ensure required secrets/env vars are documented.
  4. Keep deploy jobs gated by protected branches/environments.

4. Add Deployment Stages Safely

  • Start with CI-only (lint/test/build).
  • Add staging deploy with explicit environment context.
  • Add production deploy with manual gate/approval.
  • Keep rollout/rollback commands explicit and auditable.

Script Interfaces

  • python3 scripts/stack_detector.py --help
    • Detects stack signals from repository files
    • Reads optional JSON input from stdin/--input
  • python3 scripts/pipeline_generator.py --help
    • Generates GitHub/GitLab YAML from detection payload
    • Writes to stdout or --output

References

  • references/pipeline-design-notes.md — common pitfalls, best practices, detection heuristics, generation strategy, platform decision notes, pre-merge validation checklist, and scaling guidance
  • references/github-actions-templates.md
  • references/gitlab-ci-templates.md
  • references/deployment-gates.md
  • README.md

Bundled with this artifact

8 files

Reference files that ship alongside this artifact. Agents pull these in only when the task needs them.

More on the bench

SKILL0

Google Cloud Waf Sustainability

Generates sustainability-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify environmental impact requirements, and provide actionable recommendations to build, deploy, and manage the workload sustainably in Google Cloud.

software-engineering+2
0
SKILL0

Google Cloud Waf Reliability

Generates reliability-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Google Cloud Well-Architected Framework. Use this skill to evaluate a workload, identify reliability requirements, and provide actionable recommendations for build, deploy, and manage the workload reliably in Google Cloud.

software-engineering+2
0
SKILL0

Google Cloud Waf Performance Optimization

Generates performance-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Performance Optimization pillar of the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify performance requirements, and provide actionable recommendations for resource allocation, modular design, and elasticity.

software-engineering+2
0