idea-discovery-robot

Orchestrate robotics idea discovery workflows from literature survey to novelty checks.

Updated Mar 1, 2026
One-click install
npx skills add https://github.com/hve4638/hve-cc-marketplace --skill idea-discovery-robot-hve4638
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: idea-discovery-robot
Source: https://github.com/hve4638/hve-cc-marketplace/tree/main/aris/skills/skills-codex/idea-discovery-robot
Command: npx skills add https://github.com/hve4638/hve-cc-marketplace --skill idea-discovery-robot-hve4638

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates end-to-end robotics idea discovery workflow, starting from literature review and ending with concrete, benchmark-grounded ideas for embodied AI, reducing time to actionable concepts.

Core Features & Use Cases

  • Phase 0: Frame the Robotics Problem from user input and project context.
  • Phase 1: Robotics Literature Survey using /lit-survey focused on CoRL/RSS/ICRA/IROS/RA-L milestones and recent arXiv work, to build a robotics-centric landscape.
  • Phase 2: Robotics-Specific Idea Generation and Filtering that passes the Robotics Problem Frame and landscape matrix into the idea generator, producing top candidates with clear framing and metrics.
  • Phase 3: Feasibility and Pilot Design outlining a minimal validation plan (sim/offline) before any real hardware, including baselines and success/failure criteria.
  • Phase 4: Deep Novelty Verification via /lit-novelty-check with explicit embodiment, task, benchmark, sensor stack, and sim2real considerations.
  • Phase 5: External Robotics Review via /research-review to gather expert critique on novelty and practicality.
  • Phase 6: Final Report preparation for downstream workflows.

Quick Start

Describe your robotics direction and run the idea discovery workflow.

Frequently Asked Questions about idea-discovery-robot

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate novel robotics research ideas from a literature survey?

This pipeline automates end-to-end robotics idea discovery by chaining literature review, idea generation, novelty checks, and expert critique to produce actionable embodied AI concepts without manual intervention.

How to check if an embodied AI research idea is novel before prototyping?

The pipeline applies deep novelty verification against existing literature, evaluating embodiment, task, benchmark, sensor stack, and sim2real considerations to validate embodied AI ideas before any hardware prototyping.

Can I design a robotics validation plan in simulation before hardware testing?

Yes, the workflow outlines a minimal sim-first pilot validation plan including baselines and success criteria for offline verification before any real hardware testing.

Does this idea generation workflow support drone and manipulation robotics tasks?

Yes, the workflow applies to robotics research planning and ideation across manipulation, locomotion, navigation, drones, and embodied agents, using a sim-first and sim2real framing.

What is the best way to structure an embodied AI research planning workflow?

The best way is a phase-based approach. This pipeline sequences problem framing, literature survey, idea generation, feasibility design, novelty verification, and expert review to structure embodied AI research planning.

How do I frame a robotics problem for automated idea discovery?

You provide your robotics direction and project context as input. The workflow extracts a Robotics Problem Frame to guide the subsequent literature survey and idea generation phases.