跳到正文
cccskills
免费在 GitHub 公开

build-ci-migration-assistant

Automatically migrates build systems and CI/CD configurations to target platforms. Use when modernizing build infrastructure, switching CI/CD providers, or standardizing across projects. Supports common migration paths including Maven↔Gradle, npm↔Yarn, Travis CI→GitHub Actions, CircleCI→GitHub Actions, Jenkins→GitLab CI, and GitLab CI→GitHub Actions. Analyzes existing configuration, generates equivalent target configuration, maps dependencies and commands, and provides validation and migration documentation.

中文简介正在准备中。当前显示原文说明。

实测评分 未实测

查看安装方法

包含的文件(3)

  • SKILL.md8.9 KB
  • references/build-systems.md6.1 KB
  • references/ci-platforms.md8.1 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Build/CI Migration Assistant

Automatically migrate build systems and CI/CD configurations to target platforms while preserving functionality.

Workflow

1. Analyze Source Configuration

Identify the current build system or CI/CD platform:

Build Systems:

  • Maven (pom.xml)
  • Gradle (build.gradle, build.gradle.kts)
  • npm (package.json)
  • Yarn (package.json + yarn.lock)
  • Make (Makefile)
  • CMake (CMakeLists.txt)

CI/CD Platforms:

  • Travis CI (.travis.yml)
  • CircleCI (.circleci/config.yml)
  • Jenkins (Jenkinsfile)
  • GitLab CI (.gitlab-ci.yml)
  • GitHub Actions (.github/workflows/*.yml)

Read and parse the source configuration to understand:

  • Dependencies and their versions
  • Build commands and lifecycle
  • Test configuration
  • Environment variables and secrets
  • Caching strategy
  • Deployment steps

2. Map to Target Platform

Consult the appropriate reference guide:

Map source concepts to target equivalents:

  • Dependencies → Target dependency format
  • Build commands → Target command syntax
  • Lifecycle phases → Target stages/jobs
  • Environment variables → Target secrets/variables
  • Caching → Target caching mechanism

3. Generate Target Configuration

Create the target configuration file(s):

For build systems:

  • Generate new build file (build.gradle, pom.xml, etc.)
  • Preserve dependency versions
  • Map plugins and tasks
  • Maintain build lifecycle

For CI/CD platforms:

  • Generate workflow/pipeline file
  • Convert jobs and stages
  • Map triggers and conditions
  • Configure runners/agents
  • Set up caching and artifacts

4. Validate Migration

Test the generated configuration:

Build system validation:

# Maven
mvn clean install

# Gradle
./gradlew build

# npm
npm install && npm test

CI/CD validation:

  • Create a test branch
  • Push generated configuration
  • Verify pipeline runs successfully
  • Check all jobs complete
  • Validate artifacts and deployments

5. Document Changes

Provide migration summary including:

  • What was migrated
  • What requires manual review
  • Breaking changes or incompatibilities
  • Manual steps needed
  • Rollback instructions

Common Migration Paths

Maven to Gradle

Use case: Modernize Java build, improve build performance

Steps:

  1. Read pom.xml
  2. Map dependencies to Gradle format
  3. Convert plugins to Gradle equivalents
  4. Generate build.gradle
  5. Test build: ./gradlew build

Example:

Original Maven:

<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-web</artifactId>
    <version>2.7.0</version>
</dependency>

Generated Gradle:

dependencies {
    implementation 'org.springframework.boot:spring-boot-starter-web:2.7.0'
}

See references/build-systems.md for complete mapping.

Travis CI to GitHub Actions

Use case: Migrate to GitHub-native CI/CD

Steps:

  1. Read .travis.yml
  2. Map language/runtime setup
  3. Convert matrix builds
  4. Migrate environment variables to secrets
  5. Generate .github/workflows/ci.yml
  6. Test workflow

Example:

Original Travis CI:

language: python
python:
  - "3.9"
script:
  - pytest tests/

Generated GitHub Actions:

name: CI
on: [push, pull_request]
jobs:
  test:
    runs-on: ubuntu-latest
    steps:
    - uses: actions/checkout@v3
    - uses: actions/setup-python@v4
      with:
        python-version: '3.9'
    - run: pytest tests/

See references/ci-platforms.md for complete mapping.

CircleCI to GitHub Actions

Use case: Consolidate CI/CD on GitHub

Steps:

  1. Read .circleci/config.yml
  2. Map Docker images to containers
  3. Convert workflows to jobs with dependencies
  4. Migrate orbs to actions
  5. Generate GitHub Actions workflow
  6. Test all jobs

GitLab CI to GitHub Actions

Use case: Migrate from GitLab to GitHub

Steps:

  1. Read .gitlab-ci.yml
  2. Map stages to jobs
  3. Convert services to GitHub Actions services
  4. Migrate CI/CD variables to secrets
  5. Generate workflow files
  6. Test pipeline

Migration Checklist

Before Migration

  • Backup existing configuration
  • Document current build/CI behavior
  • Identify custom scripts and dependencies
  • List environment variables and secrets
  • Note any special requirements

During Migration

  • Generate target configuration
  • Map all dependencies
  • Convert all commands
  • Migrate environment variables
  • Set up caching
  • Configure artifacts
  • Update deployment steps

After Migration

  • Test build locally
  • Test CI/CD pipeline
  • Verify all jobs succeed
  • Check artifacts are generated
  • Validate deployments work
  • Update documentation
  • Train team on new system

Validation Strategies

Dry Run

Test migration without committing:

  1. Generate configuration in separate branch
  2. Run build/CI locally if possible
  3. Review generated files
  4. Identify issues before committing

Parallel Running

Run both systems temporarily:

  1. Keep old configuration
  2. Add new configuration
  3. Compare results
  4. Fix discrepancies
  5. Remove old configuration once validated

Incremental Migration

Migrate in stages:

  1. Start with basic build
  2. Add tests
  3. Add caching
  4. Add deployment
  5. Validate each stage

Common Patterns

Dependency Version Management

Preserve exact versions:

Maven: <version>2.7.0</version>
→ Gradle: implementation 'group:artifact:2.7.0'

Convert version ranges:

Maven: <version>[1.0,2.0)</version>
→ Gradle: implementation 'group:artifact:1.+'

Environment Variables

Travis CI:

env:
  global:
    - DATABASE_URL=postgres://localhost/test

GitHub Actions:

env:
  DATABASE_URL: postgres://localhost/test

Matrix Builds

Travis CI:

python:
  - "3.8"
  - "3.9"

GitHub Actions:

strategy:
  matrix:
    python-version: ['3.8', '3.9']

Caching

CircleCI:

- save_cache:
    paths:
      - node_modules
    key: deps-{{ checksum "package.json" }}

GitHub Actions:

- uses: actions/cache@v3
  with:
    path: node_modules
    key: ${{ runner.os }}-deps-${{ hashFiles('package.json') }}

Troubleshooting

Build Fails After Migration

Check:

  • Dependency versions match
  • Build commands are correct
  • Environment variables are set
  • Required tools are installed

Solution:

  • Compare old and new configurations
  • Run build with verbose output
  • Check for missing dependencies
  • Verify tool versions

CI Pipeline Fails

Check:

  • Workflow syntax is correct
  • Secrets are configured
  • Runner has required tools
  • Network access is available

Solution:

  • Review pipeline logs
  • Test locally if possible
  • Check runner configuration
  • Verify permissions

Tests Fail

Check:

  • Test commands are correct
  • Test environment is set up
  • Database/services are running
  • Test data is available

Solution:

  • Run tests locally
  • Check service configuration
  • Verify environment variables
  • Review test logs

Best Practices

Preserve Functionality

  • Keep exact dependency versions initially
  • Maintain build lifecycle order
  • Preserve all test configurations
  • Keep deployment steps identical

Incremental Changes

  • Migrate one component at a time
  • Test after each change
  • Don't combine migration with upgrades
  • Document each step

Documentation

  • Document what changed
  • Note manual steps required
  • Provide rollback instructions
  • Update team documentation

Testing

  • Test locally before pushing
  • Use test branches
  • Run full test suite
  • Validate deployments

References

  • build-systems.md: Detailed mappings for Maven, Gradle, npm, Yarn, Make, CMake migrations
  • ci-platforms.md: Complete guides for Travis CI, CircleCI, Jenkins, GitLab CI, GitHub Actions migrations

Tips

  • Start simple: Migrate basic build first, add complexity later
  • Test thoroughly: Validate every aspect of the migration
  • Keep backups: Maintain old configuration until new one is proven
  • Document changes: Clear documentation helps team adoption
  • Use references: Consult reference files for detailed mappings
  • Validate incrementally: Test each component as you migrate it

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Applies abstract interpretation using different abstract domains (intervals, octagons, polyhedra, sign, congruence) to statically analyze program variables and infer invariants, value ranges, and relationships. Use when analyzing program properties, inferring loop invariants, detecting potential errors, or understanding variable relationships through static analysis.

中文简介正在准备中。当前显示原文说明。

ArabelaTso/Skills-4-SE2582026年8月21日 更新

Uses abstract interpretation to automatically infer loop invariants, function preconditions, and postconditions for formal verification. Generates invariants that capture program behavior and support correctness proofs in Dafny, Isabelle, Coq, and other verification systems. Use when adding formal specifications to code, generating verification conditions, inferring contracts for functions, or discovering loop invariants for proofs.

中文简介正在准备中。当前显示原文说明。

ArabelaTso/Skills-4-SE2582026年8月21日 更新

Performs abstract interpretation over source code to infer possible program states, variable ranges, and data properties without executing the program. Reports potential runtime errors including out-of-bounds accesses, null dereferences, type inconsistencies, division by zero, and integer overflows. Use when analyzing code for potential runtime errors, performing static analysis, checking safety properties, or verifying program behavior without execution.

中文简介正在准备中。当前显示原文说明。

ArabelaTso/Skills-4-SE2582026年8月21日 更新

Performs abstract interpretation to produce summarized execution traces and high-level program behavior representations. Highlights key control flow paths, variable relationships, loop invariants, function summaries, and potential runtime states using abstract domains (intervals, signs, nullness, etc.). Use when analyzing program behavior, understanding execution paths, computing loop invariants, tracking variable ranges, detecting potential runtime errors, or generating program summaries without concrete execution.

中文简介正在准备中。当前显示原文说明。

ArabelaTso/Skills-4-SE2582026年8月21日 更新

Create ACSL (ANSI/ISO C Specification Language) formal annotations for C/C++ programs. Use this skill when working with formal verification, adding function contracts (requires/ensures), loop invariants, assertions, memory safety annotations, or any ACSL specifications. Supports Frama-C verification and generates comprehensive formal specifications for C/C++ code.

中文简介正在准备中。当前显示原文说明。

ArabelaTso/Skills-4-SE2582026年8月21日 更新

CLI-based browser automation with persistent page state using ref-based element interaction. Use when users ask to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.

中文简介正在准备中。当前显示原文说明。

ArabelaTso/Skills-4-SE2582026年8月21日 更新

查看 ArabelaTso 的全部技能

报告此技能的问题