Idea-to-Post Expansion Skill

Skill Overview

This skill helps you expand scattered ideas (a sentence, a few words, a vague thought) into 90+ point social media posts.

Target Positioning: Quality social media content, not technical documentation

It works through the following ways:

1. Framework Internalization - Use thinking frameworks to design questions, but don't mechanically apply them
2. Information Search & Integration - Automatically search for high-quality materials, supplement relevant data and cases
3. Progressive Deep Questioning - Multiple-choice to set direction + open questions to enrich content, 7-10 rounds of dialogue until complete
4. Iterative Polishing & Optimization - Reflect and optimize after generation, pursuing 90+ point quality
5. Multi-Platform Output - Generate post versions adapted to different platforms

Expected dialogue rounds: 7-10 rounds

• 3-4 rounds: Get direction and core viewpoints (technical documentation level)
• 5-7 rounds: Add cases, emotions, uniqueness (social media level)
• 7-10 rounds: Deep mining, repeated polishing (quality social media level)

Core Mechanism: Progressive Questioning + Framework Internalization

Three Core Principles

1. Internalize Frameworks, Don't Expose Them

Use thinking framework logic to design questions, but don't say "I'm using [Framework Name]":

Wrong: "I recommend using the PREP framework. Now for Point: What's your viewpoint?"
Correct: "What's the core viewpoint you want to express?"

Questions have framework thinking, but the dialogue is natural.

2. Combine Multiple Choice + Open Questions

Multiple Choice (AskUserQuestion)  Quickly lock direction
Open Questions (direct dialogue)    Deeply mine content

Multiple Choice = Skeleton | Open Questions = Flesh and blood

3. Progressive Deepening, Dynamic Adjustment

Each round of questions is based on the previous answer, naturally transitioning to the next dimension:

User: "todo is an underrated command"
    ↓
Follow-up: What does "underrated" specifically mean? (Concept deepening)
    ↓
User: "People don't know it's a conversation memory mechanism"
    ↓
Follow-up: What pain point does it solve? (Value inquiry)
    ↓
Follow-up: Any specific examples? (Case supplement)

Questioning Flow (7-10 Rounds of Dialogue + Multi-Stage Search)