القائمة
End-to-end COBOL to Java migration workflow. Handles build setup, mainframe dependency removal, and code migration with test validation.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
This skill should be used when the user asks to "write in plain English", "make this easier to read", "rewrite guidance", "improve report clarity", or produce accessible public-facing prose. It applies plain English content design principles: active voice, front-loaded content, sentence case, and no bold or italics for emphasis.
Work effectively inside a local Agent Canvas environment, including local agent-server auth, frontend/backend port discovery, safe workspace hygiene, and delegating work to a new local conversation through POST /api/conversations.
Reference skill for the OpenHands Software Agent SDK - the Python framework for building AI agents that write software. Use when you need to build agents with the SDK, create custom tools, configure LLMs, manage conversations, delegate to sub-agents, or deploy agents locally or remotely.
Bitbucket Cloud (bitbucket.org) specifics — authenticate with BITBUCKET_TOKEN, use the REST API v2, workspace/repo_slug repositories, and the create_bitbucket_pr tool. Loaded on demand by the bitbucket skill once a Cloud environment is detected.
Bitbucket Data Center (self-hosted Bitbucket Server) specifics — authenticate with BITBUCKET_DATA_CENTER_TOKEN, use the REST API 1.0, PROJECT/repo_slug repositories, scm/ git remotes, and the create_bitbucket_data_center_pr tool. Loaded on demand by the bitbucket skill once a Data Center environment is detected.
Bitbucket integration hub. Detects whether the repository is on Bitbucket Cloud or Bitbucket Data Center and directs you to the matching detailed skill (bitbucket-cloud or bitbucket-data-center). Use for any Bitbucket repository or pull request task.
| name | cobol-modernization |
| description | End-to-end COBOL to Java migration workflow. Handles build setup, mainframe dependency removal, and code migration with test validation. |
| license | MIT |
| compatibility | Requires GnuCOBOL, Java 11+, Maven/Gradle, Python 3.13 with uv |
| triggers | ["cobol modernization","cobol to java","cobol migration","mainframe migration"] |
End-to-end workflow for migrating COBOL codebases to Java.
This plugin orchestrates a multi-phase COBOL modernization project:
cobc)uvexport LLM_API_KEY="your-api-key"
export LLM_MODEL="anthropic/claude-3-5-sonnet-20241022"
uv run python -m lc_sdk_examples.cobol_modernization --src-path /path/to/cobol/project
Creates the foundation for the migration:
Outputs:
build_notes.md — Build instructionstest-fixtures/ — Input/output test datatest_manifest.json — Test case mappingSee ../mainframe-planning/SKILL.md
Creates a transformation guide without modifying code:
Output:
mainframe_dependency_removal_plan.mdSee ../mainframe-removal/SKILL.md
Applies the transformation guide:
Verification:
See ../to-java-migration/SKILL.md
Translates to idiomatic Java:
Done when:
your-project/
├── .lc-sdk/
│ ├── initial_batch_graph.json
│ ├── fixed_batch_graph.json
│ └── mainframe_dependency_removal_plan.md
├── test-fixtures/
│ ├── inputs/
│ └── expected_outputs/
├── test_manifest.json
├── src/main/java/
└── src/test/java/
See ../../references/troubleshooting.md for common issues and solutions.