Thesis Excellence

Thesis Excellence Review

Orchestrate a comprehensive multi-agent review of the thesis. The argument specifies the scope.

Scope Options

• all — Review the entire thesis (all written chapters)
• 04_methodology / 05_results / etc. — Review a specific chapter
• code — Review all analysis notebooks
• pre-submit — Full pre-submission check (everything)

Orchestration Procedure

Step 1: Compile

Run tectonic to verify compilation:

cd /Users/alessandro/Projects/Tesi/thesis && tectonic main.tex 2>&1

If compilation fails, report the error and stop.

Step 2: Determine Agents to Dispatch

Based on the scope, select which agents to run:

| Scope | Agents | |-------|--------| | Any .tex chapter | proofreader, latex-auditor, notation-checker | | Ch. 4 or Ch. 5 | + causal-inference | | Chapters with \citet/\citep | + literature-rag | | code scope | code-reviewer | | all or pre-submit | All agents |

Step 3: Run Agents

Use the Task tool to fork to each agent in parallel where possible. For each agent:

• proofreader: Read the chapter(s) and produce a proofreading report
• latex-auditor: Compile and check cross-references, citations, formatting
• notation-checker: Check all math against the notation registry
• causal-inference: (only for Ch. 4/5) Deep methodology review
• literature-rag: (only for chapters with citations) Verify top claims via RAG
• code-reviewer: (only for code scope) Review notebooks

Step 4: Synthesize Report

Combine all agent reports into a unified assessment:

THESIS EXCELLENCE REPORT
=========================
Scope: [what was reviewed]
Date:  [date]

COMPILATION: [PASS/FAIL]

AGENT REPORTS:
├── Proofreader:       [summary + issue count]
├── LaTeX Auditor:     [summary + issue count]
├── Notation Checker:  [summary + issue count]
├── Causal Inference:  [summary + top recommendation]
├── Literature RAG:    [summary + verification rate]
└── Code Reviewer:     [summary + issue count]

QUALITY ASSESSMENT:
├── Clarity:       X/10
├── Rigor:         X/10
├── Consistency:   X/10
├── Completeness:  X/10
└── Presentation:  X/10
Overall: X.X/10

TOP 5 PRIORITY ACTIONS:
1. [highest priority improvement]
2. [second priority]
3. [third priority]
4. [fourth priority]
5. [fifth priority]

DETAILED FINDINGS:
[Include full agent reports below, organized by agent]

Important

• Quality scores are ADVISORY ONLY — they never block any action
• Focus the "priority actions" on items that would most improve the thesis
• If an agent fails or times out, note it and continue with others
• For pre-submit scope, be especially thorough — this is the final check before submission

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: AlessandroCaforio
• Source: AlessandroCaforio/Academic-Writing
• License: MIT

Install and usage instructions live in the source repository linked above.