AgentStack
SKILL verified MIT Self-run

Defense Prep

skill-kinhluan-skills-defense-prep · by kinhluan

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

No reviews yet
0 installs
10 views
0.0% view→install

Install

$ agentstack add skill-kinhluan-skills-defense-prep

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

Are you the author of Defense Prep? Claim this listing to set pricing, connect Stripe payouts, and keep 70% of every sale.
Sign up to claim

About

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

Source & license

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

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

Reviews

No reviews yet — be the first.

Versions

  • v0.1.0 Imported from the upstream source.