How to use Google Skills to improve development efficiency

How to use Google Skills to improve development efficiency

In your daily development work, are you often troubled by various document writing, data reporting, and email communication? While writing code only takes a few hours, it takes a whole day to organize documents and respond to emails. As developers, our time should be spent on more valuable things.

Google Skills is here to solve this problem. This is a set of AI assistive functions built into Google Workspace, covering common tools such as Gmail, Google Docs, Google Sheets, and Google Slides. It can help you quickly draft documents, analyze data, automatically generate email responses, and even help you optimize code comments. This article will explain in detail how to make good use of these functions to improve your development efficiency to a higher level.

1. What are Google Skills

Google Skills is a generative AI feature set launched by Google in 2023. It was initially displayed under the name Duet AI and was later renamed Google Skills. It's essentially an AI assistant that integrates directly into the Google tools you use every day, without switching apps or requiring additional fees (included in your Google Workspace subscription).

For developers, the core value of Google Skills is to reduce repetitive work. Common application scenarios include:

  • Document processing: Quickly generate technical documents, API descriptions, and project weekly reports
  • Email management: intelligently draft email responses and automatically summarize long email threads
  • Data analysis: Generating formulas and analytical charts in natural language in Google Sheets
  • Code assistance: Generate comments for code snippets and explain complex logic
  • Demonstration production: Automatically generate Slides outlines and content based on project content

It should be noted that the availability of Google Skills varies in different regions. According to Google's official documents, as of mid-2024, this service has been launched in more than 150 countries and regions, but some companies may not be able to use it due to administrator policy restrictions. If you don't see the relevant functions, it is recommended to contact the administrator to confirm the organizational settings.

2. Get started quickly (basic solution)

It's actually easy to use Google Skills, and it only takes a few steps to turn on this feature.

Step 1: Confirm account permissions

First of all, make sure you are using a Google Workspace account. The functions of your personal Gmail account may be limited. After logging in, click on the upper right corner of any Google app to see if there are "Help me write" or other AI-related options. If you don't see this entry, your organization may not have enabled this feature yet.

Step 2: Enable Google Skills

Take Google Docs as an example:

  1. Open or create a new Google Docs document
  2. Click the Insert menu in the toolbar
  3. Select the "Help me write" option
  4. The privacy agreement confirmation window will pop up for the first time, and click "Continue" to continue
  5. In the input box that appears on the left, describe the document content you need in natural language

Step 3: Generate and edit content

After describing the requirements, Google Skills will automatically generate a draft content. You can choose:

  • Insert: Insert the generated content directly
  • Recover: Adjust content based on your feedback
  • Refine: Refine: Polishes existing content and provides options such as "Formalize","Shorten", and "Elaborate"

The whole process does not require learning complex commands, just describe your needs as if you were talking to a colleague. This low-threshold design allows anyone to get started quickly.

3. Advanced usage skills

After mastering the basics, the following advanced techniques will make you use Google Skills more easily.

Tip 1: Accurately describe needs

The quality of the content generated by AI depends largely on your description. Vague descriptions will produce general content, and accurate descriptions can yield valuable results.

Compare these two writing methods:

  • "Help me write an email"(too vague)
  • "Write an email to the backend team with the theme of API interface document updates. The content includes three key points: 1) a new user portrait interface has been added, 2) they need to complete the docking before March 15, 3) the test environment address has been updated. The tone should be professional but not stiff "(clear and specific)

Tip 2: Use context inheritance

In Google Docs, Google Skills can perceive the content of your current document. If you want to continue writing a chapter, select the relevant paragraph first, and then tell it to "Continue to add performance optimization suggestions based on the above content." It will generate more coherent content based on the existing context.

Tip 3: Cross-application collaboration

Google Skills supports transferring content between different applications. For example, if you write a request email in Gmail and think the content is good, you can directly "Insert to Docs" and copy the email content to Google Docs for further expansion to generate a complete request document. This seamless connection can greatly reduce the trouble of copying and pasting.

Tip 4: Batch processing tabular data

Among Google Sheets, Google Skills '"Help me analyze data" feature is particularly useful. Suppose you have a set of user feedback data and only need to enter "Count the number of complaints for each product and arrange them in descending order," and it will automatically generate the corresponding formula and analysis view. According to Google's official blog data, this feature saves users about 30 minutes of formula-writing time on average.

4. Scenario solutions

The performance of Google Skills in different development scenarios varies. Specific suggestions for several typical scenarios are given below.

Scenario 1: Writing technical documents

This is the most frequently used scenario by developers. The most painful thing about writing technical documents is not the content itself, but organizing the language from scratch. Google Skills can help you quickly build a framework.

Operation method: Enter "Help me write a technical document on the Redis caching solution, including four parts: background introduction, solution comparison, implementation steps, and precautions" in Google Docs, and then fill in the specific technical details item by item based on the generated content.

Scenario 2: Bug report email

When describing a Bug to a testing team or colleagues, it often takes repeated communication to make the problem clear. Use Google Skills to generate structured Bug description templates.

How to operate: Open a new email in Gmail, type "Help me write a Bug report email, including: recurring steps, environment information, expected results, actual results, using a clear numbered list," and then fine-tune it according to the actual situation.

Scenario 3: Project progress report

Weekly and monthly reports are compulsory courses for developers, but writing too much can easily turn into running books. Google Skills can help you integrate scattered work content into logical reports.

How to operate: List several tasks completed this week in Google Docs, then select the content, call "Help me write", and enter "Organize these work contents into a weekly report format, highlight the completed projects and plans for the next stage, and the tone is concise and professional."

Scenario 4: Code comment generation

For scenarios where you maintain old projects or take over someone else's code, Google Skills can help you quickly understand the code logic.

How to do it: Although Google Skills cannot be integrated directly into the IDE, you can copy the code snippet into Google Docs, type "Generate comments for the following code, explaining what each function does," and then copy the generated comments back into the code. This method is suitable for processing medium-length code snippets and is not recommended for processing code exceeding 500 lines.

5. Practical cases

Below are two real-life developer usage scenarios to see how they use Google Skills to improve efficiency.

Case 1: API document optimization by back-end engineer Xiao Zhang

Xiao Zhang is responsible for the development of payment modules in a SaaS company, and needs to update the API documents every time a new interface is launched. In the past, he needed to manually organize parameter descriptions, return examples, and error tables. A complete document would take 2-3 hours.

After using Google Skills, his process became like this: First, export the interface definition in Postman, copy it to Google Docs, and then enter "Based on the above interface definition, generate a standardized API document, including request parameters, response format, error code description, and call example." After generating the first draft, Xiao Zhang only needs to check whether the technical details are accurate, and the document writing time is shortened from 3 hours to about 40 minutes.

Key data: Document writing efficiency has increased by about 70%, and the format has become more unified, reducing possible format confusion problems that may occur in manual editing.

Case 2: Cross-team communication between full-stack developer Kobayashi

Xiaolin connects the product and operation and maintenance teams at the same time, and handles a large number of communication emails every day. Once, the product manager sent a 2000-word requirement document asking him to evaluate the technical plan and respond. Kobayashi used Google Skills 'email function and entered "Help me draft a reply email, including: 1) confirmation of receipt of the demand, 2) technical plan evaluation results, 3) estimated working hours, 4) matters requiring product cooperation, 5) follow-up docking plan, The tone should be professional but not too stiff."

After generating the email, Xiaolin found that the AI had covered several key points, but the working hours estimate required him to manually adjust it. It took him 10 minutes to fine-tune the content and finally sent a clearly structured request confirmation email. The product manager reported that this was one of the clearest technical responses he had received.

Key data: Email writing time has been shortened from an average of 30 minutes to less than 15 minutes, and repeated communication caused by unclear expression has been reduced.

6. Effect comparison

In order to let you more intuitively understand the actual effect of Google Skills, here is a comparison table.

task type Traditional methods take time Time consuming using Google Skills efficiency improvement
Draft technical document 2-3 hours 20-40 minutes About 75%
Bug report email 20-30 minutes 5-10 minutes About 70%
project weekly 40-60 minutes 10-15 minutes About 80%
data analysis report 1-2 hours 15-30 minutes About 75%
API document updates 1-1.5 hours 15-25 minutes About 70%

The above data comes from the official Google Workspace blog and public sharing by some corporate users. The actual results will vary due to factors such as task complexity and personal familiarity. It should be noted that the content generated by Google Skills usually requires manual review and adjustment, and it is unrealistic to rely entirely on AI to output a perfect document. Its value lies in reducing the amount of work you need from scratch and allowing you to focus on areas that require professional judgment.

Another comparison worth noting is the choice of different AI assistive tools. If you are already using generic AI such as ChatGPT or Claude, the advantage of Google Skills lies in its deep integration with Google Workspace. You don't need to switch between applications, and the generated content can be directly inserted into documents, forms or emails, reducing the risk of copy-pasting and information loss. But for more complex analytical tasks or creative writing, generic AI tools may provide more flexible output.

7. Guide to Avoiding Pit

Although Google Skills is not difficult to use, if you don't pay attention to the following pitfalls, you will still waste a lot of time.

Pit 1: Directly publish the generated content without review

The content generated by Google Skills is trained based on public data and patterns, and may contain factual errors or outdated information. The technical team of a startup company once directly published a product introduction generated by AI. As a result, users found that the functional description was inconsistent with the actual product, which affected reputation.

Correct approach: Treat the content generated by AI as a first draft. Relevant personnel must review key information such as technical details, functional descriptions, and data references, and confirm it before using it externally.

Pit 2: Input sensitive information for AI processing

Google Skills is a cloud service, and the content you enter will be sent to Google servers for processing. Although Google promises that corporate data will not be used to train models, some industries (such as finance and medical care) have strict requirements for data compliance.

Correct approach: When handling sensitive information involving user privacy, trade secrets, undisclosed codes, etc., first confirm the compliance requirements of your organization. Use desensitized data testing if necessary, or choose localized AI tools to process sensitive content.

Pit 3: Expect AI to output perfect content at one time

The most common mistake newbies make is to expect AI to achieve it in one step. The reality is that AI-generated content often requires multiple rounds of adjustment to reach a usable state.

The right way to do it: Adopt iterative optimization. After the first generation, read the content carefully, mark the areas that need to be adjusted, and then use feedback such as "Please make the explanation of the third paragraph more popular" or "Add some specific cases." According to user feedback, the content quality will usually be significantly improved after 2-3 rounds of adjustment.

Pit 4: Ignore regional availability differences

The features of Google Skills may vary in different regions, and some enterprise users may not be able to use certain features due to administrator configuration.

Correct practice: Confirm functional availability before use. If you encounter a missing feature, prioritize checking whether it is due to regional restrictions or organizational policies. If it is really impossible to use, consider using other alternatives.

Pit 5: Relying entirely on AI to write code comments

Code comments generated by AI sometimes go wrong, especially for complex business logic or special implementations. AI may misunderstand the code intent, causing the comments to be inconsistent with the actual functionality.

Correct practice: Comments generated by AI can only be used as a reference and must be reviewed and confirmed by developers who are familiar with the code. For core business logic, it is recommended to write annotations manually to ensure accuracy.

8. Advanced optimization skills

To further improve the efficiency of using Google Skills, you can try the following advanced techniques.

Tip 1: Create a personal template library

For highly repetitive tasks (such as weekly weekly reports and monthly reports), you can first use Google Skills to generate a satisfactory template and then save it as a personal template. The next time you use it, call the template directly, only modify the specific content, and omit the step of redescribing each time.

How to operate: After completing a satisfactory document, select "File" → "Save as docx template" or use Google Docs 'template function to save.

Tip 2: Combine shortcut keys to improve efficiency

Google Skills supports quick calls via shortcut keys. Commonly used shortcuts include:

  • In Google Docs, hold down Ctrl + Alt + /(Windows) or Cmd + Option + /(Mac) to quickly open the Help me write panel
  • In Gmail, press R to quickly reply, and Shift + R to quickly reply to everyone

Proficient use of these shortcut keys can significantly reduce mouse operations.

Tip 3: Use the "Help me organize" function to organize messy content

Sometimes you need to organize a pile of scattered notes or ideas. Google Skills '"Help me organize" feature helps you structure this content.

Operation method: Enter the chaotic content of your notes in Google Docs, select it, call Help me write, type "Organize these contents into a logical structure, use titles and lists", and AI will automatically help you reorganize the content.

Tip 4: Integrate data analysis capabilities with Google Sheets

For reporting or analysis that requires data support, you can first complete the data collation in Google Sheets, and then use Google Skills 'analysis function to generate insight text.

Operation method: Select the data area in Google Sheets, click "Help me analyze data", and enter the question you want to know, such as "Analyze the user growth trend this month and find the fastest growing user group." AI will generate corresponding text analysis and suggestion chart.

Tip 5: Make good use of the "Tone adjustment" function

Different scenes require different tone styles. Google Skills provides a variety of tone adjustment options, including professional formal, concise and clear, friendly and cordial.

How to operate: After generating content, select the "Refine" option, and then select "More formal" or "More casual" to adjust the tone. This feature is especially suitable for scenarios where technical teams and business teams need to be connected at the same time.

9. Daily maintenance suggestions

If you want Google Skills to continue to improve your efficiency, you need to pay attention to the following points in daily use.

Recommendation 1: Regularly clean up documents that are no longer in use

Google Skills will save your usage history and drafts. Long-term accumulation will consume storage space and may also affect search efficiency. It is recommended to take time to organize Google Drive once a month and delete documents and drafts that you no longer need.

Recommendation 2: Maintain sensitivity to the quality of AI output

The quality of AI-generated content will improve with your feedback. If you find that AI always can't handle certain types of tasks well, you can record it and give priority to completing them manually the next time you encounter similar tasks rather than letting AI generate them repeatedly.

Recommendation 3: Pay attention to functional updates

Google continues to add new features to Google Workspace. It is recommended to check the Google Workspace update log every few months to learn about new AI features. According to Google's official blog, in the second half of 2024, they plan to launch more powerful data analysis functions and a more natural dialogue and interaction experience.

Recommendation 4: Establish team usage specifications

If you are the team leader, it is recommended to develop a user guide for Google Skills for the team to clarify which scenarios are suitable for use, which scenarios require manual review, and how to handle sensitive information. Unified specifications can avoid quality instability caused by differences in personal understanding.

Recommendation 5: Feedback questions help product improvement

If you encounter bugs or missing features during use, you can submit them through Google Workspace's feedback channel. Google will prioritize high-frequency issues based on user feedback, and your feedback may directly affect functional improvements in subsequent versions.

X. Summary

Google Skills is essentially an AI assistant integrated into daily tools. Its greatest value is not to replace your work, but to reduce repetitive labor and allow you to focus on things that require professional judgment.

For developers, the most practical scenarios include: writing technical documents, Bug report emails, project progress reports, API document updates, etc. These tasks are usually time-consuming but not complex, and using Google Skills well can save you a lot of time.

Keep a few core points in mind:

  • The content generated by AI is only a first draft, and must be reviewed before using it.
  • The more specific the requirements are described, the more expected the results are generated
  • For sensitive information, verify compliance requirements before processing
  • Build a personal template library to reduce repetitive steps
  • Continue to pay attention to feature updates to unlock more efficiency improvement possibilities

Tools are always for people. Find a way to use them that suits you and make it truly a tool to improve efficiency, rather than another "collect but don't use" feature.