Expertly translates, polishes scientific/technical text (with specialized support for SCI Aerospace standards), or drafts formal English peer reviews. Ensures accuracy, clarity, and adherence to high academic standards.
日本語の概要は準備中です。原文の説明を表示しています。
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from solo effort to collaborative partnership.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
This skill acts as your writing partner, helping you research, outline, draft, and refine content while maintaining your unique voice and style.
Create a dedicated folder for your article:
mkdir ~/writing/my-article-title
cd ~/writing/my-article-title
Create your draft file:
touch article-draft.md
Open Claude Code from this directory and start writing.
Help me create an outline for an article about [topic]
Research [specific topic] and add citations to my outline
Here's my introduction. Help me make the hook more compelling.
I just finished the "Why This Matters" section. Review it and give feedback.
Review the full draft for flow, clarity, and consistency.
When a user requests writing assistance:
Understand the Writing Project
Ask clarifying questions:
Collaborative Outlining
Help structure the content:
# Article Outline: [Title]
## Hook
- [Opening line/story/statistic]
- [Why reader should care]
## Introduction
- Context and background
- Problem statement
- What this article covers
## Main Sections
### Section 1: [Title]
- Key point A
- Key point B
- Example/evidence
- [Research needed: specific topic]
### Section 2: [Title]
- Key point C
- Key point D
- Data/citation needed
### Section 3: [Title]
- Key point E
- Counter-arguments
- Resolution
## Conclusion
- Summary of main points
- Call to action
- Final thought
## Research To-Do
- [ ] Find data on [topic]
- [ ] Get examples of [concept]
- [ ] Source citation for [claim]
Iterate on outline:
Conduct Research
When user requests research on a topic:
Example output:
## Research: AI Impact on Productivity
Key Findings:
1. **Productivity Gains**: Studies show 40% time savings for
content creation tasks [1]
2. **Adoption Rates**: 67% of knowledge workers use AI tools
weekly [2]
3. **Expert Quote**: "AI augments rather than replaces human
creativity" - Dr. Jane Smith, MIT [3]
Citations:
[1] McKinsey Global Institute. (2024). "The Economic Potential
of Generative AI"
[2] Stack Overflow Developer Survey (2024)
[3] Smith, J. (2024). MIT Technology Review interview
Added to outline under Section 2.
Improve Hooks
When user shares an introduction, analyze and strengthen:
Current Hook Analysis:
Suggested Alternatives:
Option 1: [Bold statement]
[Example] Why it works: [explanation]
Option 2: [Personal story]
[Example] Why it works: [explanation]
Option 3: [Surprising data]
[Example] Why it works: [explanation]
Questions to hook:
Provide Section-by-Section Feedback
As user writes each section, review for:
# Feedback: [Section Name]
## What Works Well ✓
- [Strength 1]
- [Strength 2]
- [Strength 3]
## Suggestions for Improvement
### Clarity
- [Specific issue] → [Suggested fix]
- [Complex sentence] → [Simpler alternative]
### Flow
- [Transition issue] → [Better connection]
- [Paragraph order] → [Suggested reordering]
### Evidence
- [Claim needing support] → [Add citation or example]
- [Generic statement] → [Make more specific]
### Style
- [Tone inconsistency] → [Match your voice better]
- [Word choice] → [Stronger alternative]
## Specific Line Edits
Original:
> [Exact quote from draft]
Suggested:
> [Improved version]
Why: [Explanation]
## Questions to Consider
- [Thought-provoking question 1]
- [Thought-provoking question 2]
Ready to move to next section!
Preserve Writer's Voice
Important principles:
Ask periodically:
Citation Management
Handle references based on user preference:
Inline Citations:
Studies show 40% productivity improvement (McKinsey, 2024).
Numbered References:
Studies show 40% productivity improvement [1].
[1] McKinsey Global Institute. (2024)...
Footnote Style:
Studies show 40% productivity improvement^1
^1: McKinsey Global Institute. (2024)...
Maintain a running citations list:
## References
1. Author. (Year). "Title". Publication.
2. Author. (Year). "Title". Publication.
...
Final Review and Polish
When draft is complete, provide comprehensive feedback:
# Full Draft Review
## Overall Assessment
**Strengths**:
- [Major strength 1]
- [Major strength 2]
- [Major strength 3]
**Impact**: [Overall effectiveness assessment]
## Structure & Flow
- [Comments on organization]
- [Transition quality]
- [Pacing assessment]
## Content Quality
- [Argument strength]
- [Evidence sufficiency]
- [Example effectiveness]
## Technical Quality
- Grammar and mechanics: [assessment]
- Consistency: [assessment]
- Citations: [completeness check]
## Readability
- Clarity score: [evaluation]
- Sentence variety: [evaluation]
- Paragraph length: [evaluation]
## Final Polish Suggestions
1. **Introduction**: [Specific improvements]
2. **Body**: [Specific improvements]
3. **Conclusion**: [Specific improvements]
4. **Title**: [Options if needed]
## Pre-Publish Checklist
- [ ] All claims sourced
- [ ] Citations formatted
- [ ] Examples clear
- [ ] Transitions smooth
- [ ] Call to action present
- [ ] Proofread for typos
Ready to publish! 🚀
User: "I'm writing an article about continuous discovery. Help me create an outline."
Process:
Result: Well-researched, properly cited article written in Teresa's voice with strong structure and flow.
User: "I'm writing about AI's impact on product management. Help me find current data and examples."
Output:
## Research Compiled
### Recent Data
- Gartner: 80% of PMs will use AI tools by 2025 [1]
- Survey: 45% report faster feature shipping [2]
- Case study: Airbnb's AI-assisted prioritization [3]
### Expert Quotes
- "AI amplifies PM judgment, not replaces it" - Marty Cagan
- [Additional quotes with citations]
### Real Examples
1. **Company A**: Used AI for user research synthesis
- Result: 60% time savings
- Source: [citation]
2. **Company B**: AI-powered roadmap analysis
- Result: Better stakeholder alignment
- Source: [citation]
All added to your outline with proper citations.
User's Original Hook:
"Product management is changing because of AI. In this article, I'll discuss some ways AI affects product managers."
Improved Options:
Option 1 (Data-driven):
"Last month, I asked AI to analyze 500 customer interviews. It took 30 minutes instead of 3 weeks. Product management will never be the same."
Option 2 (Question):
"What if you could talk to every customer, read every review, and analyze every support ticket—all before your morning coffee?"
Option 3 (Story):
"Sarah spent two weeks building the wrong feature. Not because she didn't understand her users, but because she couldn't process the hundreds of interviews fast enough to spot the pattern."
User: "Just finished my 'Common Mistakes' section. Thoughts?"
Response:
# Feedback: Common Mistakes Section
## What Works Well ✓
- Strong examples (the Slack notification story)
- Clear structure (3 mistakes, clean layout)
- Practical advice for each mistake
## Suggestions
### Make It More Specific
Your second point says "Bad prioritization" but could be stronger:
Current:
> "Many teams prioritize badly by focusing on features instead of outcomes."
Suggested:
> "I've watched teams ship 14 features in a quarter yet move none of their key metrics. They prioritized activity over progress."
### Add Data
The third mistake would benefit from evidence:
> "[Add citation]: Studies show teams without regular user contact are 3x more likely to build unused features [needs source]"
### Flow Improvement
Consider reordering: Mistake 3 → Mistake 2 → Mistake 1
This builds from small to big impact.
Ready for the next section!
Recommended structure for writing projects:
~/writing/article-name/
├── outline.md # Your outline
├── research.md # All research and citations
├── draft-v1.md # First draft
├── draft-v2.md # Revised draft
├── final.md # Publication-ready
├── feedback.md # Collected feedback
└── sources/ # Reference materials
├── study1.pdf
└── article2.md
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Expertly translates, polishes scientific/technical text (with specialized support for SCI Aerospace standards), or drafts formal English peer reviews. Ensures accuracy, clarity, and adherence to high academic standards.
日本語の概要は準備中です。原文の説明を表示しています。
将中文学术文本翻译为符合国际期刊标准的高级英语,并提供多个润色版本以供选择。确保术语准确、逻辑严谨、句式复杂,彻底消除中式英语。
日本語の概要は準備中です。原文の説明を表示しています。
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.
日本語の概要は準備中です。原文の説明を表示しています。
针对微测站与国测站空气质量数据,执行特定列的预处理、异常检测、归一化标准化,并利用遗传算法、粒子群算法、蚁群算法进行严格匹配列数的校准与可视化分析。
日本語の概要は準備中です。原文の説明を表示しています。
扮演人工智能辅助医生,结合最新AI工具(如医学成像、机器学习)和传统方法(如体检、实验室测试)来诊断病人症状的最可能原因。
日本語の概要は準備中です。原文の説明を表示しています。
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
日本語の概要は準備中です。原文の説明を表示しています。