algorithmic-art
Generate deterministic SVG algorithmic artwork. Invoke when the user asks for geometric,…
Create and check long-running video material evaluation tasks. Use this skill when the user wants to submit videos for evaluation, check an existing video evaluation task list, or fetch the result of a previously created video evaluation task. This skill is not a general-purpose
$ npx -y skills add bytedance/agentkit-samples --skill byted-airesearch-videoeval --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/byted-airesearch-videoevalContext preview
The summary Claude sees to decide when to auto-load this skill.
Create and check long-running video material evaluation tasks. Use this skill when the user wants to submit videos for evaluation, check an existing video evaluation task list, or fetch the result of a previously created video evaluation task. This skill is not a general-purpose
name: byted-airesearch-videoeval description: Create and check long-running video material evaluation tasks. Use this skill when the user wants to submit videos for evaluation, check an existing video evaluation task list, or fetch the result of a previously created video evaluation task. This skill is not a general-purpose video upload skill because upload is allowed only as an internal step of task creation. Authentication uses an API key passed as an Authorization bearer token. license: Complete terms in LICENSE
Use this skill to submit and query long-running material evaluation tasks.
Use this skill when the user wants to:
Do not use this skill for generic video upload requests.
1. Validate the full input batch before any upload starts. 2. Upload the local video files and capture the returned `attachment_id` values. 3. Create a task with the uploaded attachment IDs. 4. Return success immediately after the task is created. 5. Ask the user to query task list or task detail later if they want progress or results.
This workflow is intentionally non-blocking. Do not poll automatically after task creation.
For multi-file submissions, use the orchestration entrypoint so the whole batch is validated before the first upload starts.
The current APIs use API key authentication.
All API requests sent by this skill must include the header:
Preferred input methods:
If no API key is available, ask the user to create or view one at:
Then ask the user to provide the API key before calling the API.
If the API key is missing, the scripts must fail immediately with a clear error that points the user to the API key page above.
The `upload_video.py` script is an internal helper for the create-task workflow. It is not the primary user-facing entrypoint.
The create step should send the uploaded `attachment_id` as a one-element `attachment_ids` array unless multiple attachment IDs are explicitly provided.
Task detail is wired and can query an existing task directly:
Task list is wired and can query existing tasks directly:
欢迎来到 AgentKit 代码工坊(Samples)仓库! AgentKit 是火山引擎推出的企业级 AI Agent 开发平台,为开发者提供完整的 Agent 构建、部署和运维解决方案。平台通过标准化的开发工具链和云原生基础设施,显著降低复杂智能体应用的开发部署门槛。 本代码库包含了一系列示例和教程,帮助您理解、实现和集成 AgentKit 的各项功能到您的应用中。
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