One-click install
npx skills add https://github.com/xqinag/ARIS-new --skill idea-discovery-xqinag
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: idea-discovery
Source: https://github.com/xqinag/ARIS-new/tree/main/skills/idea-discovery
Command: npx skills add https://github.com/xqinag/ARIS-new --skill idea-discovery-xqinag

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the end-to-end process of turning broad research directions into validated, pilot-ready ideas by orchestrating a multi-phase workflow that connects literature review, idea generation, novelty verification, critical review, and method refinement into a single pipeline.

Core Features & Use Cases

  • Orchestrates sequential phases: /research-lit → /idea-creator → /novelty-check → /research-review → /research-refine-pipeline to produce a ranked set of ideas and a refined plan.
  • Generates canonical outputs in idea-stage/IDEA_REPORT.md and refine-logs/FINAL_PROPOSAL.md and EXPERIMENT_PLAN.md.
  • Supports defaults, feasibility checks, and auto-proceed behavior; integrates with sub-skills and HTML rendering.
  • Applicable to researchers and product teams exploring new directions and planning experiments.

Quick Start

Provide a research direction and optional constraints to start the full idea-discovery workflow.

Frequently Asked Questions about idea-discovery

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

FAQPage Schema
How do I automate the end-to-end idea discovery workflow from literature review to experiment planning?▼

To automate idea discovery, you provide a research direction and optional constraints to trigger a sequential workflow that maps literature surveys, idea generation, novelty checks, and method refinement into a validated pilot-ready proposal.

What is the best way to validate research novelty and prepare an experimental plan?▼

Validating research novelty involves orchestrating critical reviews and method refinement phases, which automatically generate canonical outputs like FINAL_PROPOSAL.md and EXPERIMENT_PLAN.md to prepare your experimental plan.

Can I use this workflow orchestration for assessing new research directions before proposal development?▼

Yes, you can use this workflow orchestration for assessing new research directions by running feasibility checks, applying default constraints, and generating an IDEA_REPORT.md to evaluate novelty before proposal development.

Do I need to provide input constraints to start the research management workflow?▼

No, you do not need to provide input constraints to start the research management workflow; you can simply provide a research direction and the pipeline will apply defaults and auto-proceed behavior to execute the phases.

What outputs should I expect from the experiment planning and idea generation pipeline?▼

You should expect canonical outputs from the experiment planning pipeline, specifically idea-stage/IDEA_REPORT.md, refine-logs/FINAL_PROPOSAL.md, and refine-logs/EXPERIMENT_PLAN.md, containing your ranked ideas and refined plans.

Does the idea discovery pipeline support integration with sub-skills for literature surveys?▼

Yes, the idea discovery pipeline supports integration with sub-skills for literature surveys by sequentially coordinating phases like research-lit and idea-creator, and it also integrates with HTML rendering for outputs.