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.
DeepseekModel
キュレーション済みスキル
品質 優秀 · 90
v1.0.0
取得
https://deepseekmodel.com/api/download.php?id=alirezarezvani-claude-skills-engineering-skills-ci-cd-pipeline-builder-skill-md&format=skill
ダウンロード .skill
標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能
.skill ファイルの system_prompt フィールドの実際の内容。
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. 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 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 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
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ダウンロードした .skill に含まれるフィールド。
| フィールド | 説明 |
|---|---|
| format | フォーマット識別子（skill/v1） |
| skill_id | スキル固有 ID |
| name | スキル名 |
| version | バージョン |
| description | 説明 |
| category | カテゴリ（配列） |
| trigger_words | トリガーワード |
| tags | タグ |
| source | ソース |
| source_url | ソース URL（本ページ） |
| exported_at | エクスポート日時（ダウンロード毎） |
| system_prompt | システムプロンプト本文 |
| model_config | モデル設定：provider / model / temperature / max_tokens / top_p |
| examples | サンプル |
| install_guide | 各プラットフォームの導入説明（Coze / Dify / Claude / カスタム） |
