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Dida Todo List

Life Service Updated 2026.08.30

Paste the following prompt into your AI chat to install this skill:

Please follow https://skillhub.cn/install/skillhub.md and install @user_608d0df3/dida-todo.

About this skill

The Problem It Addresses

A large model can give suggestions in a chat, but once the task involves an external to-do service, it needs a model-callable skill wrapper. The Dida Todo List skill maps to @user_608d0df3/dida-todo and is intended to bring the Dida life-service scenario into a model workflow. For engineers, the value is moving beyond explaining to-do items toward invoking related services under the skill’s contract.

How the Skill Works

Based on the available material, the skill is published as a Markdown skill and categorized as life-service. Its core boundary is to expose a model-recognizable entry point for the Dida scenario, not to act as a local to-do app or a general task engine. Actual invocation usually depends on the service name, parameter descriptions, and response structure defined in the skill; the model first identifies user intent, then organizes the request according to the contract, and finally converts the result into a readable answer. Because the SKILL.md body only provides the name and skill type, without interface fields, authentication details, or examples, it should not be assumed to automatically read or modify arbitrary list data.

Boundaries and Notes

It is appropriate when there is a clear to-do service intent; it is not suitable for scenarios without authorization, without interface documentation, or requiring strongly consistent transactional behavior. When integrating, confirm the service provider, data fields, privacy requirements, and error handling. If the goal is only a local reminder list, this is not equivalent to OS notifications or calendar software; if it is used for multi-user collaboration, permissions and isolation should be validated first.

Use Cases

  • In a personal assistant workflow, invoke the skill when users raise Dida to-do requests.
  • In customer support or ops flows, route user Dida to-do service requests to this skill.
  • In model integration tests, check whether the model detects the Dida to-do scenario.
  • In life-service skill orchestration, add Dida as a to-do service node in an existing flow.

Best For

  • Model application engineers who need to route user to-do requests to Dida
  • Integration leads who need to add Dida as a life-service workflow node
  • Product engineers who need to add a to-do service capability to an LLM
  • AI tool editors who need to evaluate Dida skill boundaries and invocation conditions