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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 官方收录技能 质量 优秀 · 90 v1.0.0

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下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
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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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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