Research Skill - Preliminary Research

Trigger

/research <topic>

Workflow

Step 1: Generate Initial Framework from Model Knowledge

Based on topic, use model's existing knowledge to generate:

• Main research objects/items list in this domain
• Suggested research field framework

Output {step1_output}, use request_user_input to confirm:

• Need to add/remove items?
• Does field framework meet requirements?

Step 2: Web Search Supplement

Use request_user_input to ask for time range (e.g., last 6 months, since 2024, unlimited).

Parameter Retrieval:

• {topic}: User input research topic
• {YYYY-MM-DD}: Current date
• {step1_output}: Complete output from Step 1
• {time_range}: User specified time range

Hard Constraint: The following prompt must be strictly reproduced, only replacing variables in {xxx}, do not modify structure or wording.

Launch 1 web-search-agent (background), Prompt Template:

prompt = f"""## Task
Research topic: {topic}
Current date: {YYYY-MM-DD}

Based on the following initial framework, supplement latest items and recommended research fields.

## Existing Framework
{step1_output}

## Goals
1. Verify if existing items are missing important objects
2. Supplement items based on missing objects
3. Continue searching for {topic} related items within {time_range} and supplement
4. Supplement new fields

## Output Requirements
Return structured results directly (do not write files):

### Supplementary Items
- item_name: Brief explanation (why it should be added)
...

### Recommended Supplementary Fields
- field_name: Field description (why this dimension is needed)
...

### Sources
- [Source1](url1)
- [Source2](url2)
"""

One-shot Example (assuming researching AI Coding History):

## Task
Research topic: AI Coding History
Current date: 2025-12-30

Based on the following initial framework, supplement latest items and recommended research fields.