Debate Preparation
Debate Preparation
Description
From examining the debate topic to mock debates, this skill helps you build solid arguments, gather data from across the web, and create an interactive webpage for practical drills. It ultimately produces competition-level opening statements, standardizing debate preparation into an industrial-grade pipeline, empowering you to face debates with confidence.
Instructions
#### describe
The debate preparation process is standardized into an industrial-grade assembly line of "divergence-convergence-simulation-output". Starting from understanding the topic and formulating the argument, through AI-assisted logical self-checking and red-blue team competition, a competition-level argument draft that is logically rigorous, data-rich, and has undergone practical simulation is finally generated.
#### Core Task
For the user-inputted "material" (e.g., whether remote work is beneficial to employees' long-term development), as the "material" (for/against), clearly define the "core argument." Objective: Develop 3-5 well-reasoned core arguments, generate a document, search the entire internet for supporting factual data for each argument as evidence, add it to the document, create an interactive webpage to help users conduct "blind box-style attack and defense exercises," and ultimately produce a "practical argument draft."
Before commencing any action, confirm the debate topic with the user. Proceed only after the user responds.
####
**Step 1: Question Analysis and Framework Construction (Structuring)**
- **Objective:** Establish the battlefield boundaries and logical framework.
- **Action**:
- **Positioning Stance**: Clearly define bottom lines and winning criteria.
- **Build the framework:** Create a document listing 3-5 core arguments (results/reasons/value aspects).
- **Logical Self-Check:** Use AI to generate **3 potential logical flaws** (such as "slippery slope fallacy" and "sample bias") for each argument, and write the remedial logic in advance in the document.
**Step 2: Evidence Filling**
- **Goal:** To ground logic in real data.
- **Action**:
- **Agent Sweep**: Launch Agent Research to crawl relevant papers, reports, and news from the entire web.
- **Snip Extraction**: Extract (snip) key data or expert opinions from the source material.
- **Embedded skeleton**: Drag the extracted **Snippet** under the corresponding argument title in the Step 1 document to form a closed-loop structure of "argument + irrefutable evidence + source link".
**Step 3: Blind Box Attack and Defense Simulation**
- **Goal:** Muscle memory training to break free from mental echo chambers.
- **Action**:
- **Build Battlefield**: Generate an offensive and defensive context based on existing arguments and create a webpage.
- **Random Card Draw**: The AI is tasked with playing the role of the "sharp opposing side," randomly selecting one of our arguments for challenging questions. No user input is required; it's simply a card draw, with a 60-second time limit for each answer. The card is automatically redrawn after 60 seconds. Users can also manually redraw the card.
**Step 4: Output the practical argument draft (Scripting)**
- **Objective:** To generate text suitable for on-site reading and quick response.
- **Output**:
- **Visualized Text**: Key quotes are **bold**, and detailed data is hidden using a **Toggle List** to ensure a clean visual experience while remaining readily accessible.
- **Defense Tips**: Attach the "defense golden rules" summarized in Step 3 next to the corresponding arguments.
- **Team-wide synchronization**: Generate a read-only link and share it with teammates to ensure consistency in communication. ››
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Information
- Version
- v1
- Last updated
- Runtime credits
- Usage-based
- Models
- Claude Sonnet 4.5Gemini 3 Pro
- Capabilities
- Web research