Present intent previews, autonomy controls, and streaming states for AI workflows.
npx skills add https://github.com/andersoncollab/design-agent --skill agentic-ui
Please help me install this Agent Skill. Skill: agentic-ui Source: https://github.com/andersoncollab/design-agent/tree/main/skills/agentic-ui Command: npx skills add https://github.com/andersoncollab/design-agent --skill agentic-ui
Users struggle to trust and control AI actions when decisions happen outside chat, especially during multi-step workflows, streaming output, tool usage, and failures.
Use the agentic-ui patterns to design an AI feature where users can preview the intended action, select autonomy level, watch streaming progress, review tool/citation details, and recover gracefully if something fails.
High-intent search queries and answers about installing and using this skill.
Agentic UI for multi-step AI workflows uses intent previews, task decomposition, and progressive disclosure to make actions inspectable. This provides visible step-by-step status with approve/reject controls, ensuring trustworthy execution for non-chat applications.
Intent preview in AI user interfaces shows exactly what the AI will do before execution. It provides affected-item details and Approve, Edit, or Cancel options to ensure user control before autonomous actions are executed.
Show AI confidence levels and handle error recovery in non-chat apps by communicating uncertainty with confidence rings and providing concrete recovery paths. This replaces dead-end failures with safe, reversible actions supported by citations.
Display tool call transparency and streaming states in AI applications by showing tool usage inputs, outputs, and durations alongside token-streaming UX. Differentiate thinking, searching, and generating states with an always-available stop control.
Yes, this agentic UI approach works for database-backed updates and content generation. It applies to product workflows where an agent must execute multi-step actions with reversible, inspectable behavior and user approval options.
Let users choose between manual, supervised, and autonomous AI behavior by implementing autonomy controls per feature. This matches the user's trust level, allowing them to select the degree of human oversight required for each task.
DevattomGuide users through creating and structuring AI skills for Claude.
RIMTHAN-LABImplement Bloc/Cubit state management in Flutter applications.
janpeterdBuild provider-agnostic AI apps with streaming text, tool calls, and structured outputs.
maltemdAnalyze UI content to identify and reduce unnecessary mental effort.
