research-idea-generation

name	research-idea-generation
description	Generate and score candidate LLM research ideas from sparse user goals. Use when a project starts with no concrete benchmark, dataset, or training recipe and the agent needs to propose plausible, testable directions.
version	1.0.0
author	Hermes Research Agent
license	MIT
metadata	{"hermes":{"tags":["research","ideation","literature","zero-spec"]}}

Research Idea Generation

Use this skill when the user gives a vague or open-ended research goal.

Workflow

1. Search recent literature and identify recurring limitations, evaluation gaps, or underexplored settings.
2. Produce 3 candidate directions.
3. For each direction, write:

• one-sentence thesis
• why it might work
• the likely benchmark or eval target
• expected cost/risk

4. Score each direction on:

• novelty
• feasibility
• cost
• evaluation clarity

5. Choose one and explain the decision in terms of upside versus execution risk.

Constraints

• Prefer ideas that can be tested with a clear baseline and measurable success criterion.
• Avoid open-ended ideas that require undefined new infrastructure for v1.
• Record all candidates and the chosen direction with research_state.