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3 Repos

Awesome GitHub RepositoriesIntent Clarification

Specialized input forms used by AI agents to gather missing information from users to refine prompts.

Distinct from Forms: Focuses on the agent-driven loop of clarifying intent, not general form UI construction.

Explore 3 awesome GitHub repositories matching user interface & experience · Intent Clarification. Refine with filters or upvote what's useful.

Awesome Intent Clarification GitHub Repositories

Finde die besten Repos mit KI.Wir suchen mit KI nach den am besten passenden Repositories.
  • nexu-io/open-designAvatar von nexu-io

    nexu-io/open-design

    65,830Auf GitHub ansehen↗

    Open Design is an AI design orchestration platform and LLM agent workspace designed for generating prototypes, presentations, and motion graphics. It functions as a local-first environment that integrates various command-line AI agents and coding tools into a unified design workflow, allowing users to migrate design specifications into brand-compliant source code. The project is distinguished by its ability to enforce visual consistency through a design system manager that defines brand contracts and tokens using Markdown. It features a specialized motion graphics generator that converts HTML

    Renders structured question forms to clarify user intent and feed answers back into the AI conversation.

    TypeScriptagent-skillsai-agentsai-design
    Auf GitHub ansehen↗65,830
  • nidhinjs/prompt-masterAvatar von nidhinjs

    nidhinjs/prompt-master

    9,731Auf GitHub ansehen↗

    Prompt Master is an AI skill that automates prompt engineering by detecting the target AI system and applying the correct prompt architecture automatically. It generates optimized prompts for over 30 different AI tools, adapting format and syntax to each target system without requiring manual conversion. The system distinguishes itself through several integrated capabilities. It extracts missing dimensions of intent from vague requests by asking up to three targeted clarifying questions before generating a final prompt. A memory block of prior decisions and constraints is prepended to maintai

    Asks up to three targeted clarifying questions to fill missing dimensions of intent before generating prompts.

    claude-aiclaude-skillsllm
    Auf GitHub ansehen↗9,731
  • cjo4m06/mcp-shrimp-task-managerAvatar von cjo4m06

    cjo4m06/mcp-shrimp-task-manager

    2,121Auf GitHub ansehen↗

    This project is a framework for managing multi-agent software development workflows built on the Model Context Protocol. It functions as an AI-driven task orchestrator that decomposes complex development objectives into atomic units, tracks their lifecycle, and coordinates specialized agents to execute, verify, and refine work. By maintaining persistent project context and history, the system ensures continuity across sessions, allowing agents to retain state and adhere to established coding standards. The system distinguishes itself through its dependency-graph task management and multi-agen

    Uses specialized agent-driven loops to gather missing information from users and refine implementation plans.

    JavaScriptagentaicodeagent
    Auf GitHub ansehen↗2,121
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