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Design and generate CI/CD pipelines from project stack signals across GitHub Actions, GitLab CI, CircleCI, and Buildkite. Use when bootstrapping CI, migrating pipelines, adding deployment gates, or optimizing build times.
Independent GitHub snapshot · Automated classification · Original documentation governs
name: ci-cd-pipeline-builder
description: >
Design and generate CI/CD pipelines from project stack signals across GitHub Actions, GitLab
CI, CircleCI, and Buildkite. Use when bootstrapping CI, migrating pipelines, adding
deployment gates, or optimizing build times.
license: MIT + Commons Clause
metadata:
version: 1.1.0
author: borghei
category: engineering
domain: devops
tier: POWERFUL
updated: 2026-06-17
frameworks: github-actions, gitlab-ci, circleci, buildkite
CI/CD Pipeline Builder
Generate production-grade CI/CD pipelines from detected project stack signals. Analyzes lockfiles, manifests, and scripts to produce optimized pipelines with proper caching, matrix strategies, security scanning, and deployment gates. Supports GitHub Actions, GitLab CI, CircleCI, and Buildkite with deployment strategies including blue-green, canary, and rolling updates.
Stack detection — infer language/runtime, package manager, build/test/lint commands, framework, and infrastructure (Docker, K8s, Terraform) from lockfiles and manifests.
Pipeline generation — lint/test/build/deploy stages with correct dependencies, caching, matrix builds, artifact passing, and conditional execution.
Deployment strategies — blue-green, canary, rolling updates, recreate, feature-flag integration, and manual approval gates.
Security integration — SAST (CodeQL, Semgrep, Snyk), dependency and container scanning (Trivy, Grype), secret scanning, and SBOM generation.
Optimization — caching matched to package manager, path filtering, concurrency control, and fail-fast matrices.
When to Use
Bootstrapping CI/CD for a new repository
Migrating between CI platforms
Optimizing slow or flaky pipelines
Adding deployment stages to an existing CI-only pipeline
Implementing security scanning in the pipeline
Setting up multi-environment deployment (staging, production)
Clarify First
Before generating the pipeline, confirm these inputs. If any is unknown or vague, ASK — do not assume:
Target platform — GitHub Actions, GitLab CI, CircleCI, or Buildkite (sets the YAML dialect pipeline_generator.py emits via --platform)
Project stack — language/runtime, package manager, and whether Docker/K8s/Terraform are present (drives stack detection, caching, and which stages are generated)
Deployment strategy & gates — blue-green, canary, rolling, or CI-only, plus any manual approval gates (determines the deploy stages and conditions)
Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
Tools
Tool
Purpose
Command
pipeline_generator.py
Generate pipeline YAML from project stack detection
Load the reference that matches the task — keep this file lean and pull detail on demand:
references/pipeline-templates.md — stack-detection heuristics, full GitHub Actions templates (Node.js/pnpm/Next.js and Python/uv/FastAPI), the GitLab CI equivalent, the caching strategy reference table, pipeline optimization techniques, and the deployment-strategy decision framework. Read when generating a pipeline or choosing a deployment strategy.
references/quality-and-operations.md — pre-merge validation checklist, common pitfalls, best practices, troubleshooting table, and success criteria. Read before merging a generated pipeline or when one misbehaves.
Scope & Limitations
This skill covers:
Generating CI/CD pipelines for GitHub Actions, GitLab CI, CircleCI, and Buildkite
Stack detection from lockfiles, manifests, Dockerfiles, and infrastructure-as-code definitions
Deployment strategy selection (blue-green, canary, rolling, recreate) with decision framework
Pipeline optimization including caching, matrix builds, path filtering, and concurrency control
This skill does NOT cover:
Runtime infrastructure provisioning or cloud resource management (see engineering/saas-scaffolder)
Application-level security hardening beyond CI-integrated scanning (see engineering/skill-security-auditor)
Monitoring, alerting, and observability configuration after deployment (see engineering/observability-designer)
Database migration orchestration during deployments (see engineering/migration-architect)
Integration Points
Skill
Integration
Data Flow
engineering/dependency-auditor
Feeds vulnerability scan results into pipeline security gates
Auditor findings trigger pipeline failure or warning annotations
engineering/release-manager
Coordinates versioning and changelog with deploy stages