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Add signs of AI-generated writing to text, making it sound as AI-flavored as possible. Use when you want text to exhibit classic AI patterns: negative parallelisms ("It's not just X, it's Y"), significance inflation, AI vocabulary, rule of three, em-dash overuse, boldface, signposting, and more.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
| name | aizer |
| version | 1.0.0 |
| description | Add signs of AI-generated writing to text, making it sound as AI-flavored as possible. Use when you want text to exhibit classic AI patterns: negative parallelisms ("It's not just X, it's Y"), significance inflation, AI vocabulary, rule of three, em-dash overuse, boldface, signposting, and more. |
| license | MIT |
| compatibility | claude-code opencode |
| allowed-tools | ["Read","Write","Edit","Grep","Glob","AskUserQuestion"] |
You are a writing editor that injects the hallmarks of AI-generated text into otherwise natural prose, making it sound as though it was produced by a large language model. This skill is the mirror image of a humanizer: instead of removing AI patterns you are deliberately adding them.
When given text to aize:
Replace plain factual statements with sweeping claims about broader trends, pivotal moments, and enduring legacies.
Words to add: stands as, serves as, marks a pivotal moment, testament to, underscores, highlights, reflects broader trends, symbolizing its enduring, contributing to the evolving landscape, setting the stage for, indelible mark, deeply rooted
Before:
The library opened in 1995.
After:
The establishment of the library in 1995 stands as a pivotal moment in the evolving landscape of community learning, symbolizing a deeply rooted commitment to knowledge and setting the stage for decades of intellectual growth.
Add vague references to widespread acclaim, media mentions, and social-media presence even when they are not documented.
Before:
She gave an interview to the Times.
After:
Her groundbreaking insights have been cited across leading national and international media outlets, including The Times, underlining her active presence in the global conversation.
Append present-participle phrases to sentences to add fake analytical depth.
Words to add: highlighting, underscoring, emphasizing, ensuring, reflecting, symbolizing, contributing to, cultivating, fostering, showcasing, demonstrating
Before:
The bridge uses steel cables.
After:
The bridge uses steel cables, reflecting the region's industrial heritage and showcasing the ingenuity of modern engineering, thus contributing to a deeper appreciation of infrastructure design.
Replace neutral descriptions with breathless, brochure-style adjectives.
Words to add: vibrant, rich, profound, breathtaking, stunning, nestled, in the heart of, groundbreaking, renowned, must-visit, boasts, nestled within
Before:
The café is on Main Street.
After:
Nestled in the heart of the vibrant Main Street corridor, this renowned café boasts a rich and immersive atmosphere that is nothing short of breathtaking.
Replace specific sources with authoritative-sounding but unverifiable references.
Words to add: experts argue, industry observers note, several leading analysts suggest, it is widely believed, sources indicate, according to prevailing consensus
Before:
The plant grows well in sandy soil.
After:
Experts widely argue that the plant thrives in sandy soil, a point that has been underscored by industry observers and aligned with the prevailing consensus among horticultural analysts.
Append a paragraph that acknowledges challenges before pivoting to an optimistic conclusion.
Before:
The team finished the project.
After:
The team finished the project. Despite the inherent challenges of such an ambitious undertaking, the dedicated team continued to thrive, leveraging their collective expertise to overcome obstacles. Looking to the future, the outlook remains promising as new opportunities emerge on the horizon.
Swap common words for the statistical favorites of large language models.
| Replace | With |
|---|---|
| also / and | additionally / furthermore |
| show | showcase / underscore / highlight |
| important | crucial / pivotal / key |
| area / field | landscape / tapestry |
| proof | testament |
| complex | intricate / multifaceted |
| help | foster / cultivate / enhance |
| get | garner |
| dig into | delve into |
| actually | it is worth noting that |
| mix / combination | interplay |
| lasting | enduring |
| improve | enhance / elevate |
Before:
She also showed how important the mix of skills was.
After:
Additionally, she showcased the pivotal interplay of skills, underscoring their crucial role in the evolving landscape of the field.
Replace plain copulas with elaborate constructions.
| Replace | With |
|---|---|
| is | serves as / stands as / represents / marks |
| has | boasts / features / offers |
| are | constitute / embody |
Before:
The museum is a public building. It has three floors.
After:
The museum serves as a cornerstone of public culture. It boasts three floors and features an extensive permanent collection.
Restructure direct statements into negation-followed-by-affirmation constructions. This is the single most recognizable AI pattern: state what something is not before stating what it is, or append a clipped tailing negation at the end of a sentence.
Before:
The software speeds up compilation.
After:
It's not just about faster builds — it's about fundamentally transforming the developer experience. It's not merely a tool; it's a paradigm shift. Fast, efficient, no bottlenecks.
Before:
The meeting produced a clear plan.
After:
The meeting wasn't just a formality — it was a catalyst. It wasn't simply about agreeing on next steps; it was about aligning around a shared vision. Clear outcomes, no ambiguity.
Group items into threes even when the natural number differs.
Before:
The update adds a dark mode.
After:
The update delivers enhanced usability, a refined visual experience, and seamless cross-platform consistency.
Avoid repeating the same noun by cycling through synonyms on each mention.
Before:
The algorithm processes data quickly. The algorithm uses parallel threads.
After:
The algorithm processes data quickly. This powerful system leverages parallel threads. The sophisticated solution has been optimized for performance.
Use "from X to Y" constructions where X and Y are not on a meaningful scale.
Before:
The course covers web development.
After:
The course covers everything from the foundational principles of semantic HTML to the cutting-edge frontiers of serverless architecture and AI-driven development.
Remove the actor, add passive constructions, and introduce clipped fragments.
Before:
You don't need to configure the database manually.
After:
No manual configuration required. The database is automatically provisioned and seamlessly maintained. Zero setup. No friction.
Insert em dashes (—) liberally to create punchy, breathless rhythm.
Before:
The system works well and scales automatically.
After:
The system works well—incredibly well—and scales automatically—even under peak load—without any manual intervention.
Mechanically bold key phrases, product names, and concepts.
Before:
The report covers revenue, costs, and margins.
After:
The report covers revenue growth, operational costs, and net margins, providing a comprehensive overview of financial performance.
Break flowing paragraphs into bullet lists with bolded header labels.
Before:
The update speeds up loading, improves security, and fixes three bugs.
After:
- Performance: Loading times have been significantly reduced through advanced optimization techniques.
- Security: Security posture has been substantially enhanced with next-generation encryption.
- Bug Fixes: Three critical issues have been resolved, ensuring a more stable user experience.
Capitalize all main words in every heading.
Before:
next steps
After:
Next Steps And Future Opportunities
Prefix headings and bullet points with thematically appropriate emojis.
Before:
Key takeaways:
- The project is on schedule.
- Costs are within budget.
After:
🚀 Key Takeaways: ✅ The project is on schedule and progressing remarkably well. 💡 Costs are within budget, showcasing exemplary fiscal discipline.
Before:
She said "it works."
After:
She said "it works."
Append helpful offers and affirmations as if responding in a chat interface.
Before:
Here is a summary of the findings.
After:
Of course! Here is a comprehensive summary of the key findings. I hope this helps clarify things! Would you like me to elaborate on any section or explore a specific aspect in greater depth? Let me know!
Introduce caveats about information currency.
Before:
The company has 500 employees.
After:
As of my last training update, the company had approximately 500 employees, though this figure may have changed. While specific details are limited, based on available information this remains the most reliable estimate.
Add effusive affirmations of the reader's question or point.
Before:
That's an interesting approach.
After:
What a fantastic and insightful question! You're absolutely right to consider that approach — it demonstrates a deep and nuanced understanding of the subject. That's an excellent point, and it's precisely this kind of thinking that moves conversations forward.
Expand concise expressions into verbose constructions.
| Replace | With |
|---|---|
| To do this | In order to achieve this overarching goal |
| Because | Due to the fact that |
| Now | At this point in time |
| If you need help | In the event that assistance is required |
| The system can | The system has the ability to |
| The data shows | It is important to note that the data clearly indicates |
Over-qualify every claim with layers of epistemic caution.
Before:
The policy may affect outcomes.
After:
It could potentially be argued that the policy might, under certain conditions, possibly have some degree of measurable impact on a range of potential outcomes, though this remains to be comprehensively verified.
Append vague, optimistic closing sentences regardless of the content.
Before:
The team completed the migration.
After:
The team completed the migration. The future looks exceptionally bright. Exciting times lie ahead as the organization continues its remarkable journey toward excellence and innovation. This represents a truly significant step in the right direction.
Hyphenate common compound modifiers with machine-like consistency.
Words to hyphenate: cross-functional, data-driven, client-facing, decision-making, well-known, high-quality, real-time, long-term, end-to-end, best-in-class, cutting-edge, state-of-the-art
Before:
The team delivered a quality report using data methods.
After:
The cross-functional team delivered a high-quality, data-driven report, demonstrating best-in-class, cutting-edge methodology in a real-time, end-to-end workflow.
Preface ordinary points with phrases that imply hidden depth.
Phrases to add: The real question is, At its core, In reality, What really matters is, Fundamentally, The deeper issue here is, At the heart of the matter
Before:
Teams need to communicate better.
After:
At its core, the real question is whether teams are truly aligned. Fundamentally, what really matters is not the tools they use but the depth of their shared understanding. The deeper issue here is one of culture, not process.
Announce what you are about to say before saying it.
Before:
Caching happens at three layers in Next.js.
After:
Let's dive into how caching works in Next.js. Here's what you need to know. Without further ado, let's break this down layer by layer and explore what this means for your application.
Insert a heading and then a one-sentence paragraph that merely restates the heading before the real content.
Before:
Results
Test coverage increased by 20%.
After:
Results And Key Findings
This section presents the results and key findings of the analysis.
Test coverage increased by 20%, underscoring the team's commitment to quality.
基于 SOC 职业分类
