# Idea Discovery Robot

Workflow 1 adaptation for robotics and embodied AI.

- Repository: https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep (18443 stars)
- Category: Engineering
- License: MIT
- Last updated: 2026-11-01
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill idea-discovery-robot -g -a claude-code -y`
Codex: `npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill idea-discovery-robot -g -a codex -y`
Cursor: `npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill idea-discovery-robot -g -a cursor -y`
Gemini CLI: `npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill idea-discovery-robot -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add wanshuiyin/Auto-claude-code-research-in-sleep`

## Description

Workflow 1 adaptation for robotics and embodied AI. Orchestrates robotics-aware literature survey, idea generation, novelty check, and critical review to go from a broad robotics direction to benchmark-grounded, simulation-first ideas. Use when user says \"robotics idea discovery\", \"机器人找idea\", \"embodied AI idea\", \"机器人方向探索\", \"sim2real 选题\", or wants ideas for manipulation, locomotion, navigation, drones, humanoids, or general robot learning.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Robotics Idea Discovery Pipeline

> **Before each reviewer slot**, follow [Selectable Reviewers](../shared-references/reviewer-backends.md):
> resolve invocation → `.aris/reviewer.json` → Claude Code default (Codex MCP)
> with `reviewer_route.py` through the canonical helper resolver, preserving this
> slot's tier, fresh contexts, source/image inputs and deterministic gates.
> Codex examples/pins below apply only to `backend=codex`; other routes use their
> own first-call/reply contract. Save the route and actual returned identity;
> unavailable selections are `REVIEW_UNAVAILABLE`. Classify acceptance from actual
> families/completion/scope. Forward invocation reviewer/model/effort overrides
> to reviewer-bearing children. Generation workers are unchanged.


Orchestrate a robotics-specific idea discovery workflow for: **$ARGUMENTS**

## Overview

This skill chains four sub-skills into a single automated pipeline:

```
/research-lit → /idea-creator (robotics framing) → /novelty-check → /research-review
  (survey)              (filter + pilot plan)         (verify novel)    (critical feedback)
```

But every phase must be grounded in robotics-specific constraints:
- **Embodiment**: arm, mobile manipulator, drone, humanoid, quadruped, autonomous car, etc.
- **Task family**: grasping, insertion, locomotion, navigation, manipulation, rearrangement, multi-step planning
- **Observation + action interface**: RGB/RGB-D/tactile/language; torque/velocity/waypoints/end-effector actions
- **Simulator / benchmark availability**: simulation-first by default
- **Real robot constraints**: hardware availability, reset cost, safety, operator time
- **Evaluation quality**: success rate plus failure cases, safety violations, intervention count, latency, sample efficiency
- **Sim2real story**: whether the idea can stay in sim, needs offline logs, or truly requires hardware

The rest: https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/blob/HEAD/skills/idea-discovery-robot/SKILL.md