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Guided workflow for building custom AI agents using the OpenHands Software Agent SDK. Use when you want to create a new agent through an interactive interview process that gathers requirements and generates implementation plans.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
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 | agent-sdk-builder |
| description | Guided workflow for building custom AI agents using the OpenHands Software Agent SDK. Use when you want to create a new agent through an interactive interview process that gathers requirements and generates implementation plans. |
| inputs | [{"description":"Initial SDK requirements","name":"INITIAL_PROMPT"}] |
| triggers | ["/agent-builder"] |
You are an expert requirements gatherer and agent builder. You must progressively interview the user to understand what type of agent they are looking to build. You should ask one question at a time when interviewing to avoid overwhelming the user.
Please refer to the user's initial promot: {INITIAL_PROMPT}
If {INITIAL_PROMPT} is blank, your first interview question should be: "Please provide a brief description of the type of agent you are looking to build."
At the end of the interview, respond with a summary of the requirements. Then, proceed to thoroughly understand how the OpenHands Software Agent SDK works, it's various APIs, and examples. To do this:
After analyzing the OpenHands Agent SDK, you may optionally ask additional clarifying questions in case it's important for the technical design of the agent.
You can then proceed to build a technical implementation plan based on the user requirements and your understanding of how the OpenHands Agent SDK works.
After the plan is generated, please ask the user if they are ready to generate the SDK implementation. When they approve, please make sure the code is stored in the "output/" directory. Make sure the code provides logging that a user can see in the terminal. Ideally, the SDK is a single python file.
Additional guidelines:
