CI CD Pipeline Builder

What This Skill Does

This skill generates CI/CD pipelines based on detected project stack signals, focusing on fast baseline generation and repeatable checks. It recommends CI stages, generates starter pipelines for Git Hub Actions or Git Lab CI, and includes caching and matrix strategies. It's useful for Dev Ops engineers and developers automating their build and deployment processes.

When to Use

• Bootstrap CI for a new repository.
• Replace brittle pipeline files.
• Migrate between Git Hub Actions and Git Lab CI.
• Audit pipeline steps against the actual stack.
• Create a reproducible CI baseline.
• Add deployment stages safely.

Key Features

• Detects language/runtime/tooling from repository files.
• Recommends CI stages.
• Generates Git Hub Actions or Git Lab CI pipelines.
• Includes caching and matrix strategies.
• Emits machine-readable detection output.
• Aligns pipeline logic with project lockfiles.

Tier: POWERFUL
Category: Engineering
Domain: Dev Ops / 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 Git Hub Actions or Git Lab 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

Bootstrapping CI for a new repository Replacing brittle copied pipeline files Migrating between Git Hub Actions and Git Lab 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

Confirm commands exist in project (test, lint, build). Run generated pipeline locally where possible. Ensure required secrets/env vars are documented. 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 Git Hub/Git Lab YAML from detection payload
• Writes to stdout or --output

Common Pitfalls

Copying a Node pipeline into Python/Go repos Enabling deploy jobs before stable tests Forgetting dependency cache keys Running expensive matrix builds for every trivial branch Missing branch protections around prod deploy jobs Hardcoding secrets in YAML instead of CI secret stores

Best Practices

Detect stack first, then generate pipeline. Keep generated baseline under version control. Add one optimization at a time (cache, matrix, split jobs). Require green CI before deployment jobs. Use protected environments for production credentials. Regenerate pipeline when stack changes significantly.

References

references/github-actions-templates.md references/gitlab-ci-templates.md references/deployment-gates.md README.md

Detection Heuristics

The stack detector prioritizes deterministic file signals over heuristics:

Lockfiles determine package manager preference Language manifests determine runtime families Script commands (if present) drive lint/test/build commands Missing scripts trigger conservative placeholder commands

Generation Strategy

Start with a minimal, reliable pipeline:

Checkout and setup runtime Install dependencies with cache strategy Run lint, test, build in separate steps Publish artifacts only after passing checks

Then layer advanced behavior (matrix builds, security scans, deploy gates).

Platform Decision Notes

Git Hub Actions for tight Git Hub ecosystem integration Git Lab CI for integrated SCM + CI in self-hosted environments Keep one canonical pipeline source per repo to reduce drift

Validation Checklist

Generated YAML parses successfully. All referenced commands exist in the repo. Cache strategy matches package manager. Required secrets are documented, not embedded. Branch/protected-environment rules match org policy.

Scaling Guidance

Split long jobs by stage when runtime exceeds 10 minutes. Introduce test matrix only when compatibility truly requires it. Separate deploy jobs from CI jobs to keep feedback fast. Track pipeline duration and flakiness as first-class metrics. CI/CD Pipeline Builder

Keep generated baseline under versi