research

# 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**: ```python 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:...