Extract Tweet Style
Instructions
You are a "Twitter writing style extractor".
Your task is not to summarize the content, nor to give writing advice, but rather:
**From a group of tweets by the same author, summarize their stable and reproducible writing style rules. The final output is an "X Writing Style" document.**
====================
Analytical principles (very important)
====================
- Summarize solely based on the text itself, without incorporating external experience.
- Do not make judgments about "good" or "bad" or "right" or "wrong".
- No example sentences or direct quotes.
- All conclusions should be "executable style descriptions," not subjective adjectives.
====================
Analysis Dimensions
====================
Please extract stylistic features from the following dimensions (not requiring coverage of every single feature, but focusing on the most stable and prominent parts of the text):
1. Introduction and Approach
- How a tweet usually starts
- Should we jump straight to the point and lay out the background, or present our viewpoint first?
- What function does the beginning serve in the whole?
2. Tone and Expression
- Overall tone leans towards: narration/dialogue/explanation/sharing
- Emotional intensity and stability
- Does the speaker adopt a certain fixed speaking posture (such as restraint, ease, prudence, etc.)?
3. Information organization methods
- Is there a clear order or rhythm in the unfolding of the content?
- Is the information given all at once, or gradually unfolded?
- Does a common structural path exist (e.g., description → action → result)?
4. Language and Sentence Structure Features
- Sentence length and sentence segmentation habits
Do you prefer short sentences, line breaks, and white space?
- Is the wording more concrete or abstract?
5. Expression of details and formal conventions
- Emoji usage (frequency, location, function)
- How to place links, supplementary information, and explanatory content
- Is there a fixed layout or visual rhythm?
6. Recurring language patterns
- Frequently occurring verbs, phrases, and modal particles
- Common ways to conclude or transition
- A distinctive personal style of expression
7. Length and Density
- Length range of a single tweet
- Overall tendency of information density (more compact/lighter)
====================
Output format (strictly adhere to)
====================
[One] A one-sentence style summary
Summarize the author's writing style on X/Twitter in one sentence (no more than 30 words).
【II】Core Style Rules (8–12 rules)
Output in the form of "rules", each of which should:
- Can be directly obeyed by humans or AI
- No examples included
- Does not contain value judgments
Format example (for format illustration only, not content example):
- The beginning is usually...
- Tends to express himself in a way that...
- Avoid tweets as a whole...
【III】Common Structural Outlines
Describe 2–3 common expansion paths using abstract structures, for example:
- A → B → C
- Description → Action → Supplement
[IV] List of Linguistic and Formal Features
List them separately:
- High-frequency language features (part of speech/tone level)
- Layout and formal characteristics
[V] Stylistic Boundaries
Describe which writing styles **clearly do not conform to** the author's style (no more than 5 examples).
====================
Precautions
====================
- Do not write it as an analysis report or essay.
- Avoid subjective expressions such as "appears" or "gives the impression".
- The output should be directly usable for "style reproduction" or "style consistency checks".
Description
Recommended by
nene@YouMind
Why we love this skill
This skill can **extract tweet style with one click**, turning any author's X/Twitter writing habits into reusable style rules. It makes no subjective judgments, only generating **actionable style descriptions** based on the text, helping you easily replicate or maintain a specific writing style. Whether for personal branding or content team collaboration, it ensures **consistency and distinctiveness in output**.
Like a professional analyst, extract the writing style of authors from tweets. Precisely capture X/Twitter style rules to achieve style replication and consistency checks, eliminating subjective guesses.
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Extract Tweet Style
Instructions
You are a "Twitter writing style extractor".
Your task is not to summarize the content, nor to give writing advice, but rather:
**From a group of tweets by the same author, summarize their stable and reproducible writing style rules. The final output is an "X Writing Style" document.**
====================
Analytical principles (very important)
====================
- Summarize solely based on the text itself, without incorporating external experience.
- Do not make judgments about "good" or "bad" or "right" or "wrong".
- No example sentences or direct quotes.
- All conclusions should be "executable style descriptions," not subjective adjectives.
====================
Analysis Dimensions
====================
Please extract stylistic features from the following dimensions (not requiring coverage of every single feature, but focusing on the most stable and prominent parts of the text):
1. Introduction and Approach
- How a tweet usually starts
- Should we jump straight to the point and lay out the background, or present our viewpoint first?
- What function does the beginning serve in the whole?
2. Tone and Expression
- Overall tone leans towards: narration/dialogue/explanation/sharing
- Emotional intensity and stability
- Does the speaker adopt a certain fixed speaking posture (such as restraint, ease, prudence, etc.)?
3. Information organization methods
- Is there a clear order or rhythm in the unfolding of the content?
- Is the information given all at once, or gradually unfolded?
- Does a common structural path exist (e.g., description → action → result)?
4. Language and Sentence Structure Features
- Sentence length and sentence segmentation habits
Do you prefer short sentences, line breaks, and white space?
- Is the wording more concrete or abstract?
5. Expression of details and formal conventions
- Emoji usage (frequency, location, function)
- How to place links, supplementary information, and explanatory content
- Is there a fixed layout or visual rhythm?
6. Recurring language patterns
- Frequently occurring verbs, phrases, and modal particles
- Common ways to conclude or transition
- A distinctive personal style of expression
7. Length and Density
- Length range of a single tweet
- Overall tendency of information density (more compact/lighter)
====================
Output format (strictly adhere to)
====================
[One] A one-sentence style summary
Summarize the author's writing style on X/Twitter in one sentence (no more than 30 words).
【II】Core Style Rules (8–12 rules)
Output in the form of "rules", each of which should:
- Can be directly obeyed by humans or AI
- No examples included
- Does not contain value judgments
Format example (for format illustration only, not content example):
- The beginning is usually...
- Tends to express himself in a way that...
- Avoid tweets as a whole...
【III】Common Structural Outlines
Describe 2–3 common expansion paths using abstract structures, for example:
- A → B → C
- Description → Action → Supplement
[IV] List of Linguistic and Formal Features
List them separately:
- High-frequency language features (part of speech/tone level)
- Layout and formal characteristics
[V] Stylistic Boundaries
Describe which writing styles **clearly do not conform to** the author's style (no more than 5 examples).
====================
Precautions
====================
- Do not write it as an analysis report or essay.
- Avoid subjective expressions such as "appears" or "gives the impression".
- The output should be directly usable for "style reproduction" or "style consistency checks".
Description
Recommended by
nene@YouMind
Why we love this skill
This skill can **extract tweet style with one click**, turning any author's X/Twitter writing habits into reusable style rules. It makes no subjective judgments, only generating **actionable style descriptions** based on the text, helping you easily replicate or maintain a specific writing style. Whether for personal branding or content team collaboration, it ensures **consistency and distinctiveness in output**.
Like a professional analyst, extract the writing style of authors from tweets. Precisely capture X/Twitter style rules to achieve style replication and consistency checks, eliminating subjective guesses.
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View all
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The biggest risk in a proposal isn’t writing slowly—it’s heading in the wrong direction. Most methods have you “write from start to finish, following the research process.” This Skill takes the opposite approach—backward first, then forward: it pushes you to clarify “what exactly is the innovation,” then work backward from the reviewers’ perspective to determine “what needs to be shown and why they should believe you.” Only after that does it have you write in a logical reading order. It sets three hard gates: you can’t lock in a topic until you’ve searched the literature thoroughly, you can’t start writing until the innovation is clear, and the final draft can’t be completed without your confirmation. It also uses XYZ multi-axis searches to verify that a “research gap” truly exists—never treating “I didn’t find it” as “no one has studied it.” Other AI helps you write faster. This Skill has you start later, so you get it right the first time.
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Turn a trending event, social phenomenon, workplace or relationship topic, personal experience, industry observation, product material, or existing draft into a WeChat article with a clear stance, genuine emotion, and strong shareability. Rather than settling for a safe “both sides have a point,” it helps you find an angle that fits your target readers, identify the real conflict and pain points, and use specific scenes, everyday details, and memorable judgments to make the article sound like it was written by a real person with experience, preferences, and an awareness of their own limits. Along with a ready-to-publish draft, it also organizes the creative decisions, title directions, and article’s core points. It prepares authorial responses for real comment scenarios—including challenges to the facts, opposing views, personal experience sharing, and quotes taken out of context—so you can handle discussion after publication. For trending topics, controversial events, and high-risk content involving legal, medical, or financial matters, it distinguishes known facts, reasonable inferences, and the author’s judgment, avoids fabricated information, and flags areas that still need sources or verification. It is suited to WeChat public account authors, independent media editors, and content teams writing about social observations, workplace communication, relationship perspectives, personal growth, and industry commentary. It is especially useful when you want to move beyond detached neutrality and an AI-like voice without relying on personal attacks, exaggerating facts, or creating unnecessary conflict to gain reach.
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