Operate support chatbots and voice assistants with Rasa
Use Rasa to design, test, and operate custom conversational assistants for support, service, and voice workflows.
npx skills add agentskillexchange/skills --skill operate-support-chatbots-and-voice-assistants-with-rasa
Use this when an agent or operator needs to update a custom assistant workflow instead of manually editing scattered conversation rules and intents. The workflow is to define intents, entities, stories, rules, actions, and channels, train or test the assistant, inspect conversation failures, and prepare a controlled deployment. Invoke it when support, service, or voice-assistant behavior needs repeatable maintenance with reviewable artifacts rather than one-off prompt edits. This is not a generic chatbot framework listing; the boundary is supervised assistant operations where agents help maintain repeatable support or voice-assistant behavior with training data, regression tests, custom actions, and channel configuration kept under operator review.
What this skill actually does
Inputs and prerequisites: Rasa, conversation training data, custom actions, channel configuration.
Setup notes: Install Rasa, initialize or open an assistant project, define intents, entities, stories, rules, and actions, train the model, run conversation tests, and deploy through the selected support or voice channel.
Source and verification boundary: use https://github.com/RasaHQ/rasa as the canonical reference before running the workflow; keep commands, API calls, CLI usage, and generated outputs reviewable against that upstream source.
Framework fit: publish this as a Custom Agents workflow only when the operator can invoke the documented toolchain directly, rather than treating the upstream project as a generic product listing.