A sophisticated AI agent skill designed to elevate MBA thesis drafts to academic excellence through critical analysis frameworks and professional LaTeX automation.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install mba-thesis-advisor
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install mba-thesis-advisor using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The MBA Thesis Advisor is a comprehensive toolset for candidates looking to bridge the gap between a standard descriptive draft and an exceptional academic paper. By utilizing Openclaw Skills, users can implement the Writing B philosophy, which focuses on identifying anti-intuitive internal observations, causal mechanisms, and clear boundary conditions. This skill moves beyond generic business summaries to provide deep analytical value suitable for top-tier university standards.
This system provides a structured roadmap from initial diagnosis to final submission. It leverages expert-level rubrics to score manuscripts across seven critical dimensions and provides actionable strategies for theoretical framework upgrades. Whether you are navigating complex organizational changes or strategic shifts, this skill ensures your research maintains a high level of academic rigor and professional presentation.
To use this skill effectively within Openclaw Skills, ensure your environment is configured for LaTeX processing.
# On macOS, ensure MacTeX binaries are in your PATH
export PATH="/Library/TeX/texbin:$PATH"
# Navigate to your thesis root directory
cd /path/to/your/thesis
# Compile the document using the provided workflow
latexmk -xelatex my-thesis.tex
Ensure your project follows the directory structure: mydata/ for chapters, myfigure/ for images, and references/ for the provided diagnostic and evaluation guides.
The skill organizes thesis data into a specific taxonomy to ensure seamless AI processing and LaTeX compilation:
| Component | Location | Description |
|---|---|---|
| Root Document | my-thesis.tex |
The main entry point for the LaTeX project. |
| Chapter Files | mydata/*.tex |
Modularized source files for chapters 01 through 05. |
| Assets | myfigure/ |
Contains Python scripts for chart generation and resulting PDF/PNG files. |
| Metadata | refs.bib |
Bibliographic data for automated citations. |
| Guidelines | references/ |
Markdown files containing evaluation rubrics and style guides. |
| Build Artifacts | .gitignore |
Configured to ignore .log, .aux, and .pdf files while preserving source data. |
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