acceptance-orchestrato…
Use when a coding task should be driven end-to-end from issue intake through implementation, review, deployment, and acceptance…
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
Claude Code
$ npx -y skills add sinhoneyy/master-skills --skill ci-cd-pipeline-builder --agent claude-code
Codex
$ npx skills add sinhoneyy/master-skills --skill ci-cd-pipeline-builder -a codex -y
Cursor
$ npx skills add sinhoneyy/master-skills --skill ci-cd-pipeline-builder -a cursor -y
Gemini CLI
$ npx skills add sinhoneyy/master-skills --skill ci-cd-pipeline-builder -a gemini-cli -y
GitHub Copilot
$ npx skills add sinhoneyy/master-skills --skill ci-cd-pipeline-builder -a github-copilot -y
OpenCode
$ npx skills add sinhoneyy/master-skills --skill ci-cd-pipeline-builder -a opencode -y
Windsurf
$ npx skills add sinhoneyy/master-skills --skill ci-cd-pipeline-builder -a windsurf -y
name: "ci-cd-pipeline-builder" description: "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."
**Tier:** POWERFUL **Category:** Engineering **Domain:** DevOps / Automation
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.
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.
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
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.
Unified skill library for Claude, Codex, Cursor, Antigravity & AI agents — 2,660 skills across 15 domains
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