WHAT THEY CAN CHECK ->
1. MSTP GUIDELINES [Grammer, tone, active voice, tense, verb, sentence structure, punctuation, articles, if-the, when, MSTP terminologies]
2. TECHNICAL WRITING GUIDELINES
3. PROCEDURE WRITING GUIDELINES
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ASSESSMENT
Q1.
Decide if the sentences are in parallel and correct for parallel sentences. [a,b,c,d,e]
Q2.
Rewrite the correct sentences. [a,b]
Q3.
Predict the passive voice and correct the sentences. [a,b,c,d,e]
Q4.
Correct and rewrite the sentences with proper articles.
Q5.
Rewrite the paragraph.
Q6.
Rewrite the paragraph with correct punctuation.
Q7.
Write the procedure based on the scenario: Client enrolment form based on an online form screenshot.
Q8.
Write an article on: Impact of Visual graphic on Technical Writing.
Adobe RoboHelp: Posts 15 [2025]
No, Adobe RoboHelp is not a Git-based tool by default, but it supports Git integration for version control. RoboHelp provides built-in support for Git, Microsoft SharePoint, and Azure DevOps, allowing teams to collaborate and track changes without using the command line.
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How Git Works in RoboHelp
RoboHelp connects to a Git repository where project files are stored.
Users can commit, push, pull, and merge changes using RoboHelp’s UI.
It helps manage multiple versions of documentation without manually handling Git commands.
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Key Features of RoboHelp’s Git Integration
1. Graphical Version Control – No need for Git commands; everything is done through the UI.
2. Branching Support – Work on different versions of documentation using Git branches.
3. Conflict Resolution – If multiple users edit the same file, RoboHelp helps merge changes.
4. History & Reversion – Track and restore previous document versions easily.
When Do You Need External Git Tools?
If you want to use advanced Git features like interactive rebasing or custom hooks.
If you’re working with CI/CD pipelines for automated documentation deployment.
If you’re integrating with other Git-based tools like GitHub, GitLab, or Bitbucket.
If you’re looking for Git-based documentation tools that are easy to use, here are some good options:
1. Git-Integrated Authoring Tools (For Non-Developers & Tech Writers)
These tools provide a graphical UI and are easier to use than raw Git commands:
Adobe RoboHelp – Has built-in Git integration, good for structured help documentation.
MadCap Flare – Supports Git, ideal for technical writing and single-source publishing.
Paligo – A cloud-based, CCMS (Component Content Management System) with Git support.
HelpNDoc – Lightweight and supports Git for managing versions.
2. Git-Based Static Site Generators (For Developers & Technical Writers)
These tools work well for developer documentation and are Git-friendly:
MkDocs – Simple, Markdown-based, and works well with GitHub Pages.
Docusaurus – Built by Facebook, easy for version-controlled docs.
Hugo – Fast and flexible, works with Git repositories.
Docsify – Minimal setup, loads Markdown files directly from Git.
3. Git-Integrated Wiki & Knowledge Base Tools
For collaborative documentation, these tools sync with Git:
It and net-based version control with Git integration to Simple, cloud-based GitBook.
Confluence with Git Integration – Not native Git, but can be linked via plugins.
From GitHub/GitLab, Read the Docs removes the need to build and host documentation.
If you’re looking for GUI-based documentation tools with Git integration, here are some of the best options for ease of use:
1. Adobe RoboHelp (Best for Enterprise Help Docs)
✅ Pros:
Built-in Git integration (no coding required).
Supports HTML5, PDF, EPUB, and Word output formats.
Collaboration-friendly with review and approval workflows.
❌ Cons:
Can be expensive for small teams.
More suited for structured help documentation than developer docs.
2. MadCap Flare (Best for Single-Source Publishing)
✅ Pros:
Visual interface for authoring, no need for Markdown.
Works with Git, Azure DevOps, and Subversion.
Ideal for multi-channel publishing (WebHelp, PDF, etc.).
❌ Cons:
Steeper learning curve than some simpler tools.
Requires Windows (no macOS version).
3. Paligo (Best for Cloud-Based Teams)
✅ Pros:
Cloud-based CCMS, no installation needed.
Built-in Git support for versioning.
Supports multi-language translation and structured content reuse.
❌ Cons:
Subscription-based pricing can be high.
More suited for large teams and enterprises.
4. HelpNDoc (Best for Small Teams & Beginners)
✅ Pros:
Simple drag-and-drop interface.
Supports Git for version control.
Generates help files in CHM, PDF, HTML, and more.
❌ Cons:
Lacks some advanced collaboration features.
More suitable for small projects.
5. GitBook (Best for Online Knowledge Bases)
✅ Pros:
Cloud-based, integrates with GitHub & GitLab.
No installation needed, works from a browser.
Great for developer and product documentation.
❌ Cons:
Less control over document formatting than RoboHelp or MadCap.
Limited offline functionality.
Best Pick Based on Your Needs
For structured help docs (enterprise) → Adobe RoboHelp
For technical writers (multi-channel) → MadCap Flare
For cloud-based collaboration → Paligo
For small teams & easy UI → HelpNDoc
For online developer docs → GitBook
Git-based CMS are content management systems that use Git repositories as the backend for storing and managing content. Instead of relying on a traditional database, these CMS platforms leverage Git for version control, collaboration, and deployment.
How Git-Based CMS Works
1. Content as Code – All content (e.g., Markdown, JSON, YAML) is stored in a Git repository.
2. Version Control – Every change is tracked with Git commits, allowing rollback and collaboration.
3. Static Site Generation – Often used with static site generators like Hugo, Jekyll, or Next.js.
4. Decentralized Editing – Content can be managed using Git clients, web interfaces, or CI/CD workflows.
Popular Git-Based CMS
Netlify CMS—open-source and complementary to static site generators
Forestry – User-friendly UI, integrates with Git repositories.
Decap CMS (formerly Netlify CMS) – A flexible, Git-based headless CMS.
Fits the head of PC generics that work with site generators.
GitHub Pages with Jekyll – Simple Git-based CMS for static websites.
Git-based CMS are ideal for developers, technical teams, and static site projects where version control, security, and performance are key priorities.
Git-based tools for technical writers help manage documentation using version control, collaboration, and automation features. These tools integrate with Git repositories (GitHub, GitLab, Bitbucket) and are ideal for docs-as-code workflows.
Top Git-Based Tools for Technical Writers
1. Static Site Generators (for Documentation)
With MkDocs, simple, Markdown-based documentation that works with Git is possible.
Docusaurus – Built by Facebook, ideal for product documentation.
Hugo – Fast and flexible for static documentation sites.
Jekyll – Works well with GitHub Pages for open-source docs.
2. Git-Based CMS
Decap CMS (formerly Netlify CMS) – Git-backed CMS with a user-friendly UI.
Forestry – Git-based CMS with Markdown support.
Publii – A desktop-based CMS that syncs with Git repositories.
3. Collaborative Documentation Platforms
Read the Docs – Auto-builds documentation from Git repositories.
GitBook – Provides a modern UI with Git integration.
Docsify – Simple, Markdown-based documentation tool.
Sphinx – Popular in Python communities for API documentation.
4. Version Control & Collaboration Tools
GitHub, GitLab, Bitbucket – For version control, issues, and pull requests.
Pandoc – Converts Markdown files to various formats.
Mermaid.js – Enables diagram generation in Markdown.
Using GitHub as a technical writer involves managing documentation through version control, collaboration, and automation. Here’s a step-by-step guide:
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1. Set Up Your GitHub Repository
Create a Repository: Go to GitHub, click New Repository, and name it (e.g., project-docs).
Initialize with a README: This acts as an introduction to your documentation.
Add a .gitignore: If needed, exclude unnecessary files (e.g., node_modules).
2. Write and Organize Documentation
Use Markdown (.md): GitHub renders Markdown beautifully.
Structure Folders:
/docs
├── index.md
├── installation.md
├── user-guide.md
├── api-reference.md
Include a CONTRIBUTING.md: Guides others on how to contribute.
Use CHANGELOG.md: Tracks updates and changes.
3. Work Locally with Git
1. Clone the Repository
git clone https://github.com/yourusername/project-docs.git
cd project-docs
2. Create and Switch to a New Branch
git checkout -b update-docs
3. Edit and Save Changes
Modify .md files using VS Code, Typora, or any Markdown editor.
4. Commit Your Changes
git add .
git commit -m “Updated installation guide”
5. Push the Changes
git push origin update-docs
6. Create a Pull Request (PR)
Go to GitHub → Your Repo → Pull Requests → New Pull Request.
Compare changes, add a description, and request a review.
With PR approval, merge the PR into the main branch.
4. Automate Documentation Deployment
Use GitHub Pages:
Enable it in Repo Settings → Pages.
Deploy index.md as a static site.
Integrate with Static Site Generators:
MkDocs: mkdocs build && mkdocs serve
Docusaurus: npm run build && npm run start
5. Collaborate and Track Issues
Use GitHub Issues: Report and track documentation tasks.
Set Up Labels & Milestones: Organize documentation updates.
Review Pull Requests: Give feedback on documentation changes.
6. Use GitHub Actions for Automation
Auto-deploy docs:
Example GitHub Actions workflow (.github/workflows/deploy.yml):
name: Deploy Docs
on: push
jobs:
build:
runs-on: ubuntu-latest
steps:
– uses: actions/checkout@v3
– run: mkdocs build
– run: mkdocs gh-deploy –force
Best Practices for Technical Writers on GitHub
✔ Keep documentation updated with releases.
✔ Follow Markdown best practices for readability.
✔ Use meaningful commit messages (fix: updated API docs).
✔ Encourage open-source contributions via PRs.
✔ Automate deployments for live documentation.
Using Bitbucket for Technical Writing in IT Industry
Bitbucket, a Git-based repository management tool, is widely used in IT for version-controlled documentation, collaboration, and continuous integration (CI/CD). Technical writers in the industry use Bitbucket to manage software documentation efficiently.
1. Setting Up a Documentation Repository
Navigate to Bitbucket → Repositories → Create Repository to create a repository.
Choose Git or Mercurial: Most teams use Git.
Set Up a Folder Structure: Example structure for docs-as-code:
/docs
├── index.md
├── getting-started.md
├── api-reference.md
├── troubleshooting.md
Use Markdown (.md) or AsciiDoc (.adoc) for documentation.
Add README.md: Provides an overview of the documentation.
2. Writing and Updating Documentation Locally
1. Clone the Repository:
git clone https://bitbucket.org/company/docs-repo.git
cd docs-repo
2. Create a New Branch for Updates:
git checkout -b update-docs
3. Edit the Markdown Files using VS Code, Typora, or a text editor.
4. Commit Changes:
git add .
git commit -m “Updated API documentation”
5. Push the Changes to Bitbucket:
git push origin update-docs
6. Create a Pull Request (PR) in Bitbucket
Navigate to Pull Requests → Create PR
Add details and request a review
Merge once approved
3. Collaboration and Review Process
Use Bitbucket Issues to track documentation tasks.
Set up a Wiki for internal guides.
Tag Reviewers in PRs to get feedback.
Use Inline Comments to suggest improvements in code/doc changes.
4. Automating Documentation Deployment
Bitbucket can integrate with static site generators like MkDocs, Docusaurus, Jekyll, Hugo to deploy documentation.
Using Bitbucket Pipelines for Auto-Deployment
1. Enable Bitbucket Pipelines in Repo Settings.
2. Add a .bitbucket-pipelines.yml file:
image: python:3.8
pipelines:
default:
– step:
name: Build and Deploy Docs
script:
– pip install mkdocs
– mkdocs build
– mkdocs gh-deploy –force
3. On every commit, the documentation is deployed automatically.
5. Bitbucket Integrations for Documentation
Confluence – Sync documentation between Bitbucket and Confluence.
Trello/Jira – Link documentation tasks with project management tools.
Slack/MS Teams – Get notifications for documentation changes.
Best Practices for Technical Writers Using Bitbucket
✔ Keep documentation version-controlled with branches.
✔ Use clear commit messages (e.g., docs: Updated troubleshooting guide).
✔ Implement CI/CD to auto-publish updates.
✔ Encourage peer reviews via PRs for better accuracy.
✔ Link documentation updates with Jira issues for better tracking.