Idea To Post

ClawSkills 作者 akira82-ai v1.5.0

Expand scattered ideas into in-depth posts. Use this skill when users need to "expand ideas," "generate posts," "brainstorm content," "writing assistance," "enrich thoughts," "deepen thinking," or provide scattered ideas that need systematic expression.

源码 ↗

安装 / 下载方式

TotalClaw CLI推荐
totalclaw install clawskills:akira82-ai~idea-to-post
cURL直接下载,无需登录
curl -fsSL https://skills.taituai.com/api/skills/clawskills%3Aakira82-ai~idea-to-post/file -o idea-to-post.md
Git 仓库获取源码
git clone https://github.com/openclaw/skills/commit/1c9463db376e16b4782b028812447ffe04ac8624
# 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)

```
┌─────────────────────────────────────────────────┐
│  User inputs idea                                │
└────────────────┬────────────────────────────────┘
                 │
                 ▼
┌─────────────────────────────────────────────────┐
│  [Initial Search] Background information        │
│  collection                                     │
│  - Identify core concepts                        │
│  - Multi-angle search queries                    │
│  - Get background materials                      │
└────────────────┬────────────────────────────────┘
                 │
                 ▼
┌─────────────────────────────────────────────────┐
│  Rounds 1-2: Direction locking                  │
│  (mainly multiple choice)                        │
│  - Goal? Audience? Platform?                     │
│  - Quickly position article type                 │
└────────────────┬────────────────────────────────┘
                 │
                 ▼
┌─────────────────────────────────────────────────┐
│  Rounds 3-4: Core deep dive                     │
│  (open questions)                                │
│  - What's the core viewpoint?                    │
│  - What does "underrated" specifically mean?     │
│  - What pain point does it solve?                │
│  - Why do you think so?                          │
└────────────────┬────────────────────────────────┘
                 │
                 ▼
┌─────────────────────────────────────────────────┐
│  Rounds 5-6: Real cases                         │
│  (open questions, required)                      │
│  - When was the most recent time?                │
│  - What feature? What specifically was said?     │
│  - How did you feel at that moment?              │
│  - Any comparison cases? (with vs without)       │
└────────────────┬────────────────────────────────┘
                 │
                 ▼
┌─────────────────────────────────────────────────┐
│  Round 7: Emotional resonance                   │
│  (open questions, required)                      │
│  - Most frustrated/surprised moment?             │
│  - Physical reaction? Slap thigh? Long sigh?     │
│  - Turning point from "useless" to "amazing"?    │
└────────────────┬────────────────────────────────┘
                 │
                 ▼
┌─────────────────────────────────────────────────┐
│  Round 8: Uniqueness                            │
│  (open questions)                                │
│  - Any undiscovered tips?                        │
│  - Any unique usage methods?                     │
│  - Any counter-intuitive understanding?          │
└────────────────┬────────────────────────────────┘
                 │
                 ▼
┌─────────────────────────────────────────────────┐
│  [Precision Search] Based on user's unique      │
│  viewpoints                                      │
│  - Extract unique insights/counter-intuitive     │
│    viewpoints                                    │
│  - Reverse search for supporting evidence        │
│  - Multi-angle validation                        │
│    (industry/competitors/data)                   │
│  - Try different keywords if search fails        │
└────────────────┬────────────────────────────────┘
                 │
                 ▼
┌─────────────────────────────────────────────────┐
│  Round 9: Structure confirmation                │
│  (multiple choice)                               │
│  - Article structure?                            │
│  - Style preference?                             │
└────────────────┬────────────────────────────────┘
                 │
                 ▼
┌─────────────────────────────────────────────────┐
│  Round 10: Final touches                        │
│  (mixed)                                         │
│  - Core golden sentence?                         │
│  - Call to action?                               │
│  - Anything else to add?                         │
└────────────────┬────────────────────────────────┘
                 │
                 ▼
┌─────────────────────────────────────────────────┐
│  Information completeness assessment            │
│  (90+ point standard)                            │
│  Core viewpoint                                  │
│  Real cases (required)                           │
│  Emotional resonance (required)                  │
│  Unique viewpoints (required)                    │
│  External validation (search results)            │
│  → Complete, generate content                    │
│  → Incomplete, continue questioning              │
└────────────────┬────────────────────────────────┘
                 │
                 ▼
┌─────────────────────────────────────────────────┐
│  First draft generation                         │
│  (standard Markdown format)                      │
│  - Integrate all information                     │
│  - Use heading levels, bold, quote blocks, etc.  │
│  - Generate structured content                   │
└────────────────┬────────────────────────────────┘
                 │
                 ▼
┌─────────────────────────────────────────────────┐
│  Reflection and optimization (optional)         │
│  - What's not good enough?                       │
│  - What needs supplementing?                     │
│  - Iterate and optimize                          │
└────────────────┬────────────────────────────────┘
                 │
                 ▼
┌─────────────────────────────────────────────────┐
│  Final output (standard Markdown format)        │
└─────────────────────────────────────────────────┘
```

**Note: Cases, emotions, and uniqueness are required and ca