defense-prep

Original：🇺🇸 English

Translated

Prepare for PhD or Master's thesis defense. Use when preparing defense presentation, anticipating committee questions, practicing oral defense, or structuring defense slides.

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Sourcekinhluan/skills

Added on2026-06-02

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npx skill4agent add kinhluan/skills defense-prep

SKILL.md Content

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Defense Preparation

Prepare a confident, rigorous oral defense of your thesis work.

Defense Timeline

T-8 weeks: Draft complete slides, share with advisor
T-6 weeks: Practice talk #1 with advisor (full run)
T-4 weeks: Incorporate feedback, practice with lab group
T-2 weeks: Practice with mock committee (optional but recommended)
T-1 week: Final slide polish, print backup PDF, know venue
T-1 day: Rest. Eat well. Check AV setup.
T-0: Arrive 30min early. Water bottle. Backup on USB.

Slide Structure (60-min defense = ~40 slides)

Cover slide             (1) — title, your name, advisor, date
Outline                 (1) — roadmap of talk
Motivation              (2-3) — why this problem matters
Research Questions      (1) — what you set out to answer
Background              (3-4) — what audience needs to know
Related Work            (2-3) — where you fit in literature
Methodology             (8-10) — your main contribution
Results                 (6-8) — experiments + key findings
Discussion              (2-3) — implications, limitations
Conclusion              (2) — answer your RQs, contributions
Future Work             (1-2)
Thank You + Q&A         (1)
Backup slides           (5-10) — for expected hard questions

Slide Design Principles

1 idea per slide — title is the takeaway, body is the evidence
Figures over text — if explainable with a diagram, use one
Build animations sparingly — only to guide attention, not show off
Results: always compare — isolated numbers mean nothing
Font ≥ 24pt — smallest text readable from back of room

Anticipated Question Categories

Category 1 — Methodology Deep Dives

"Why did you choose [method X] over [method Y]?" → Prepare: justification from research-design + comparison data

"What happens if assumption [A] doesn't hold?" → Prepare: robustness experiment or honest limitation statement

"How does your method scale to [larger/different] setting?" → Prepare: complexity analysis + any scaling experiments

Category 2 — Experimental Validity

"Why didn't you compare to [paper Z]?" → Prepare: why it's not a fair baseline OR add it

"Could your results be explained by [confound]?" → Prepare: controlled experiment that rules it out

"Is the improvement statistically significant?" → Prepare: p-values, effect sizes, number of seeds

Category 3 — Contribution Scope

"How is this different from [prior work X]?" → Prepare: explicit differentiation table

"What is your key insight / novelty?" → One crisp sentence. Practice this until fluent.

"What would you do differently if starting over?" → Honest answer. Shows maturity. Not a trap.

Category 4 — Future Directions

"What are the next steps?" → Have 2-3 concrete, specific directions (not vague "more datasets")

Category 5 — Basics (common in Master's)

"Explain [fundamental concept] in your work" → Never assume they know your domain. Prepare Feynman-style explanation.

Practice Scoring Rubric

Use this when practicing with peers/advisor:

Dimension	1-Poor	3-OK	5-Excellent
Motivation clarity	Unclear why	Somewhat clear	Crystal clear, real stakes
Technical depth	Skips details	Some details	Rigorous but accessible
Results explanation	Just shows numbers	Explains trends	Insights + implications
Question handling	Defensive	Addresses question	Engages, builds on question
Time management	Over/under by >5min	±3min	Hits target exactly
Confidence	Nervous, hesitant	Competent	Authoritative

On the Day

Opening (memorize this):

"Good [morning/afternoon]. Thank you for coming. My thesis is titled [X]. The central question I've been investigating is [RQ in plain language]. Today I'll walk you through what I found and why I believe it matters."

Handling unknown questions:

"That's a great question. I haven't specifically tested for that, but based on [reasoning], I would expect [answer]. This is actually a good direction for future work."

Never say "I don't know" alone — say "I don't know, but here's how I would think about it."

Time control:

Practice 3 times minimum. Know your pace.
Every slide: estimate seconds. Cut if needed.
Don't rush Q&A by running over.

Backup Slide Topics (prepare these)

Detailed algorithm pseudocode
Full hyperparameter tables
Additional ablation results
Proofs or derivations referenced but not shown
Failure cases / limitations in detail
Comparison with [most likely missing baseline]

Links to Other Skills

Requires →
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paper-writing
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(thesis must be written first)
Requires →
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milestone-tracker
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(defense date in timeline)
Pairs with →
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internal-critique
```
(critique your slides like a reviewer)