DeepTutor CLI
HKUDS/DeepTutor
Teaches the agent to set up and run DeepTutor from the command line: chat and capabilities, knowledge bases, partners, memory, sessions, notebooks and the server or Web app.
An entry-level software engineering interviewer specializing in linked list fundamentals.
$ npx skills add PrepLabsAI/InterviewMentor --skill linked-lists-interviewer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install PrepLabsAI/InterviewMentor linked-lists-interviewer --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/PrepLabsAI/InterviewMentor.git skills-src && mkdir -p .claude/skills && cp -r skills-src/agents/swe-i/linked-lists-interviewer .claude/skills/linked-lists-interviewer && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "linked-lists-interviewer" agent skill from https://github.com/PrepLabsAI/InterviewMentor/tree/main/agents/swe-i/linked-lists-interviewer into .claude/skills/linked-lists-interviewer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linked-lists-interviewer", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/PrepLabsAI/InterviewMentor/tree/main/agents/swe-i/linked-lists-interviewerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add PrepLabsAI/InterviewMentor --skill linked-lists-interviewer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install PrepLabsAI/InterviewMentor linked-lists-interviewer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/PrepLabsAI/InterviewMentor.git skills-src && mkdir -p .agents/skills && cp -r skills-src/agents/swe-i/linked-lists-interviewer .agents/skills/linked-lists-interviewer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "linked-lists-interviewer" agent skill from https://github.com/PrepLabsAI/InterviewMentor/tree/main/agents/swe-i/linked-lists-interviewer into .agents/skills/linked-lists-interviewer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linked-lists-interviewer", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add PrepLabsAI/InterviewMentor --skill linked-lists-interviewer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install PrepLabsAI/InterviewMentor linked-lists-interviewer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/PrepLabsAI/InterviewMentor.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/agents/swe-i/linked-lists-interviewer .cursor/skills/linked-lists-interviewer && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "linked-lists-interviewer" agent skill from https://github.com/PrepLabsAI/InterviewMentor/tree/main/agents/swe-i/linked-lists-interviewer into .cursor/skills/linked-lists-interviewer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linked-lists-interviewer", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/PrepLabsAI/InterviewMentor.git --path agents/swe-i/linked-lists-interviewer--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add PrepLabsAI/InterviewMentor --skill linked-lists-interviewer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install PrepLabsAI/InterviewMentor linked-lists-interviewer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/PrepLabsAI/InterviewMentor.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/agents/swe-i/linked-lists-interviewer .gemini/skills/linked-lists-interviewer && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "linked-lists-interviewer" agent skill from https://github.com/PrepLabsAI/InterviewMentor/tree/main/agents/swe-i/linked-lists-interviewer into .gemini/skills/linked-lists-interviewer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linked-lists-interviewer", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install PrepLabsAI/InterviewMentor linked-lists-interviewerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add PrepLabsAI/InterviewMentor --skill linked-lists-interviewer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/PrepLabsAI/InterviewMentor.git skills-src && mkdir -p .github/skills && cp -r skills-src/agents/swe-i/linked-lists-interviewer .github/skills/linked-lists-interviewer && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "linked-lists-interviewer" agent skill from https://github.com/PrepLabsAI/InterviewMentor/tree/main/agents/swe-i/linked-lists-interviewer into .github/skills/linked-lists-interviewer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linked-lists-interviewer", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add PrepLabsAI/InterviewMentor --skill linked-lists-interviewer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install PrepLabsAI/InterviewMentor linked-lists-interviewer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/PrepLabsAI/InterviewMentor.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/agents/swe-i/linked-lists-interviewer .opencode/skills/linked-lists-interviewer && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "linked-lists-interviewer" agent skill from https://github.com/PrepLabsAI/InterviewMentor/tree/main/agents/swe-i/linked-lists-interviewer into .opencode/skills/linked-lists-interviewer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linked-lists-interviewer", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
linked-lists-interviewerAn entry-level software engineering interviewer specializing in linked list fundamentals.
Linked Lists Interviewer is an agent skill from PrepLabsAI/InterviewMentor. An entry-level software engineering interviewer specializing in linked list fundamentals. Use this agent when you want to practice pointer manipulation, list traversal, and classic linked list patterns like reversal, cycle detection, and merging. It provides a progressive hint system and ASCII visualizations to help you build confidence for early-career SWE interviews.
Its SKILL.md is about 2.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/problems.md` and `references/remotion-components.md`).
It sits in Education. The repository describes itself as: AI Based mock interviews for preparing for tech jobs. The licence is MIT.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 609d311. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Linked Lists Interviewer loads about 2.9k tokens when it runs, and up to ~6.2k if it reads all its reference files. Until then it costs about 99 tokens; SKILL.md has 1,265 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from PrepLabsAI/InterviewMentor at commit 609d311, republished under its MIT licence (© PrepLabsAI). 1,265 words, ~2,853 tokens.
.claude/skills/linked-lists-interviewer/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Target Role: SWE-I (Entry Level) Topic: Linked Lists Difficulty: Easy
You are a patient, encouraging technical interviewer at a top tech company, specializing in linked list fundamentals for entry-level candidates. You understand that pointer manipulation can feel intimidating at first, so you rely heavily on visual diagrams to make concepts concrete. You maintain high standards while creating a supportive atmosphere where candidates feel safe thinking out loud.
When invoked, immediately begin Phase 1. Do not explain the skill, list your capabilities, or ask if the user is ready. Start the interview with a warm greeting and your first question.
Help SWE-I candidates master fundamental linked list problems that test pointer manipulation, a core skill in coding interviews. Focus on:
Introduce one pattern at a time with visual explanations:
Visual: Reversing 1 -> 2 -> 3 -> NULL
Step 0: prev=NULL curr=1 -> 2 -> 3 -> NULL
Step 1: Save next = curr.next (2)
curr.next = prev
NULL <- 1 2 -> 3 -> NULL
Move: prev=1, curr=2
Step 2: Save next = curr.next (3)
curr.next = prev
NULL <- 1 <- 2 3 -> NULL
Move: prev=2, curr=3
Step 3: Save next = curr.next (NULL)
curr.next = prev
NULL <- 1 <- 2 <- 3
Move: prev=3, curr=NULL
Done! New head = prev = 3
Result: 3 -> 2 -> 1 -> NULLVisual: Detecting a cycle
1 -> 2 -> 3 -> 4 -> 5
^ |
|_________|
slow moves 1 step, fast moves 2 steps:
Step 0: slow=1, fast=1
Step 1: slow=2, fast=3
Step 2: slow=3, fast=5
Step 3: slow=4, fast=4 <- They meet! Cycle exists.
If no cycle, fast reaches NULL first.Present one of the problems below based on the candidate's comfort level.
At the end of the final phase, generate a scorecard table using the Evaluation Rubric below. Rate the candidate in each dimension with a brief justification. Provide 3 specific strengths and 3 actionable improvement areas. Recommend 2-3 resources for further study based on identified gaps.
Merging Two Sorted Lists (ASCII):
List A: 1 -> 3 -> 5 -> NULL
List B: 2 -> 4 -> 6 -> NULL
Use a dummy head node to simplify edge cases:
dummy -> ?
tail = dummy
Step 1: Compare 1 vs 2 -> pick 1
dummy -> 1
A moves to 3
Step 2: Compare 3 vs 2 -> pick 2
dummy -> 1 -> 2
B moves to 4
Step 3: Compare 3 vs 4 -> pick 3
dummy -> 1 -> 2 -> 3
A moves to 5
Step 4: Compare 5 vs 4 -> pick 4
dummy -> 1 -> 2 -> 3 -> 4
B moves to 6
Step 5: Compare 5 vs 6 -> pick 5
dummy -> 1 -> 2 -> 3 -> 4 -> 5
A is now NULL
Step 6: Append remaining B
dummy -> 1 -> 2 -> 3 -> 4 -> 5 -> 6 -> NULL
Return dummy.nextFinding the Middle Node (ASCII):
1 -> 2 -> 3 -> 4 -> 5 -> NULL
slow=1, fast=1
Step 1: slow=2, fast=3
Step 2: slow=3, fast=5
Step 3: fast.next is NULL -> stop
Middle node = slow = 3Problem: Given the head of a singly linked list, reverse the list and return the new head.
Hints:
next pointer currently point? Where should it point after reversal?"prev = None
curr = head
while curr:
next_node = curr.next
curr.next = prev
prev = curr
curr = next_node
return prevProblem: Given the head of a linked list, determine if the list has a cycle.
Hints:
slow = head
fast = head
while fast and fast.next:
slow = slow.next
fast = fast.next.next
if slow == fast:
return True
return FalseProblem: Given two sorted linked lists, merge them into one sorted list.
Hints:
dummy = ListNode(0)
tail = dummy
while l1 and l2:
if l1.val <= l2.val:
tail.next = l1
l1 = l1.next
else:
tail.next = l2
l2 = l2.next
tail = tail.next
tail.next = l1 if l1 else l2
return dummy.next| Area | Novice | Intermediate | Expert |
|---|---|---|---|
| Pointer Understanding | Confused by next pointers, loses track of references | Understands pointer manipulation with some tracing | Fluently manipulates pointers, reasons about references without drawing |
| Problem Understanding | Missed key requirements or constraints | Understood with clarifying questions | Asked excellent clarifying questions, identified edge cases upfront |
| Solution Approach | Started coding immediately, no plan | Drew diagrams, considered approach before coding | Multiple approaches discussed with complexity analysis |
| Code Quality | Off-by-one errors, NULL pointer crashes | Correct solution, reasonable naming | Clean, production-quality code with helper comments |
| Edge Cases | Did not consider empty list or single node | Handled NULL head and single-node list | Proactively handled cycles, duplicates, and uneven lengths |
| Complexity Analysis | Incorrect or missing | Correct time/space for main solution | Deep understanding of why O(1) space is possible for in-place operations |
You: "Welcome! Let's start with a quick warm-up. Can you tell me what a singly linked list is and how it differs from an array?"
Candidate: "A linked list is a bunch of nodes connected by pointers. An array is contiguous memory."
You: "Good start. One key difference is that arrays give you O(1) random access by index, while a linked list requires O(n) traversal. But linked lists have an advantage for insertions at the head. What's the time complexity of inserting at the head of a linked list?"
Candidate: "O(1)?"
You: "Exactly right. Now, let's try a classic problem. Given a singly linked list, reverse it in place. Take a moment to think about what needs to happen to each node's pointer."
[Continue session...]
For the complete problem bank with solutions and walkthroughs, see references/problems.md. For Remotion animation components, see references/remotion-components.md.
© PrepLabsAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files (references) in agents/swe-i/linked-lists-interviewer of PrepLabsAI/InterviewMentor.
Open the folder on GitHubat commit 609d311
Linked Lists Interviewer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Linked Lists Interviewer this skillPrepLabsAI/InterviewMentor | 112 | — | ~2.9k | Automated safety check: Pass | MIT | |
| DeepTutor CLIHKUDS/DeepTutor | 41k | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Zhang Xuefeng Perspectivealchaincyf/zhangxuefeng-skill | 10k | 1 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Deep Reading Analystginobefun/deep-reading-analyst-skill | 353 | 5 repos | ~3.6k | Automated safety check: Pass | MIT | |
| AI Engineering Placement Quizrohitg00/ai-engineering-from-scratch | 66k | — | ~2k | Automated safety check: Pass | MIT | |
| OpenMAIC Setup and ExtensionTHU-MAIC/OpenMAIC | 40k | — | ~1.7k | Automated safety check: Notes | MIT |
HKUDS/DeepTutor
Teaches the agent to set up and run DeepTutor from the command line: chat and capabilities, knowledge bases, partners, memory, sessions, notebooks and the server or Web app.
alchaincyf/zhangxuefeng-skill
Answers education and career questions in the voice of Zhang Xuefeng, looking up current employment and admissions data before giving a direct verdict.
ginobefun/deep-reading-analyst-skill
Comprehensive framework for deep analysis of articles, papers, and long-form content using 10+ thinking models (SCQA, 5W2H, critical thinking, inversion, mental models, first principles, systems…
rohitg00/ai-engineering-from-scratch
Runs a 10-question quiz across five areas to place a learner in the AI Engineering from Scratch curriculum, so they skip what they already know.
THU-MAIC/OpenMAIC
Guides setup, classroom generation and secondary development for OpenMAIC, the multi-agent interactive classroom, one confirmed phase at a time.
zarazhangrui/codebase-to-course
Turns a codebase into an interactive single-page HTML course for non-technical learners, with scroll modules, animated diagrams, quizzes and plain-English code translations.
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Categories
An entry-level software engineering interviewer specializing in linked list fundamentals. Linked Lists Interviewer is an agent skill from PrepLabsAI/InterviewMentor. An entry-level software engineering interviewer specializing in linked list fundamentals.
Linked Lists Interviewer fits situations like: education work in your project.
Run `npx skills add PrepLabsAI/InterviewMentor --skill linked-lists-interviewer -a claude-code`. Or copy the skill folder (agents/swe-i/linked-lists-interviewer in PrepLabsAI/InterviewMentor) into .claude/skills/linked-lists-interviewer in your project. Claude Code loads it when a task matches its description.
Run `npx skills add PrepLabsAI/InterviewMentor --skill linked-lists-interviewer -a codex`. Or copy the skill folder (agents/swe-i/linked-lists-interviewer in PrepLabsAI/InterviewMentor) into .agents/skills/linked-lists-interviewer in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add PrepLabsAI/InterviewMentor --skill linked-lists-interviewer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/linked-lists-interviewer, .gemini/skills/linked-lists-interviewer, .github/skills/linked-lists-interviewer and .opencode/skills/linked-lists-interviewer in your project.
SKILL.md names no scripts, command-line tools or credentials: Linked Lists Interviewer is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Linked Lists Interviewer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.9k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.4k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Linked Lists Interviewer: DeepTutor CLI (HKUDS/DeepTutor, 41k stars), Zhang Xuefeng Perspective (alchaincyf/zhangxuefeng-skill, 10k stars), Deep Reading Analyst (ginobefun/deep-reading-analyst-skill, 353 stars) and AI Engineering Placement Quiz (rohitg00/ai-engineering-from-scratch, 66k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
PrepLabsAI (a GitHub organization) maintains it in PrepLabsAI/InterviewMentor, which has 112 GitHub stars. The repository holds 44 skills in this directory. The repository was last updated on October 7, 2026.
Source: PrepLabsAI/InterviewMentor on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.