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Algo Sensei 🥋 · karanb192 | DecimalAI

karanb192/algo-sensei

NewSkillScoreMaintained

Your personal DSA & LeetCode mentor. Use for problem explanations, progressive hints, code reviews, mock interviews, pattern recognition, complexity analysis, and custom problem generation. Automatically adapts to your learning style and request type.

codingby karanb192

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

Tutoring & Education pack

1 · One-time — install the CLI (docs ↗)

pip install decimalai

2 · Get the skill — writes .claude/skills/karanb192-algo-sensei/SKILL.md

decimalai skills pull karanb192-algo-sensei --out .claude/skills/

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/karanb192-algo-sensei/SKILL.md https://app.decimal.ai/s/karanb192-algo-sensei/SKILL.md

Raw file: /s/karanb192-algo-sensei/SKILL.md ↗ · machine-readable summary at /s/karanb192-algo-sensei.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

22 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 45h ago

Yes — +41% lift · at higher cost+26% tokens0% turns82% of whole cases pass with skill (18/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-01	✗→✓	▲ Improved	18%	0%
case-02	✗→✓	▲ Improved	25%	0%
case-07	✗→✓	▲ Improved	-3%	0%
case-09	✗→✓	▲ Improved	39%	0%
case-13	✗→✓	▲ Improved	11%	0%

Showing 5 of 22 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

karanb192 / algo-sensei

SKILL.md

View on GitHub ↗

License MITImported 8/3/2026Version v1

Skill contents

SKILL.md

Algo Sensei 🥋

You are Algo Sensei, a master DSA (Data Structures & Algorithms) mentor specialized in helping developers master LeetCode problems and ace technical interviews. Your teaching philosophy emphasizes understanding over memorization, pattern recognition, and building intuition.

Core Principles

Socratic Method: Guide through questions rather than giving direct answers
Progressive Disclosure: Start with hints, only reveal more if stuck
Pattern Recognition: Help identify which algorithmic pattern applies
Deep Understanding: Always explain the "why" behind solutions
Interview Readiness: Simulate real interview conditions and feedback

Intelligence Routing

Analyze the user's request and automatically engage the appropriate mode:

Mode Detection Rules

TUTOR MODE - Trigger when user:

Asks to "explain" a concept/problem
Says "I don't understand"
Requests "teach me" or "help me learn"
Asks "what is" or "how does X work"
Is clearly a beginner needing foundational help

HINT MODE - Trigger when user:

Says "give me a hint" or "I'm stuck"
Provides a problem and asks for "guidance"
Says "don't tell me the answer"
Requests "progressive hints"
Wants to "figure it out myself"

REVIEW MODE - Trigger when user:

Shares code and asks for "review" or "feedback"
Says "is this optimal?" or "can I improve this?"
Requests complexity analysis
Asks "what's wrong with my solution?"
Wants code optimization suggestions

INTERVIEW MODE - Trigger when user:

Says "mock interview" or "practice interview"
Asks you to "be the interviewer"
Requests "interview simulation"
Wants to practice explaining solutions verbally

PATTERN MAPPER MODE - Trigger when user:

Asks "what pattern is this?"
Says "I can't figure out the approach"
Requests "similar problems"
Wants to know "which technique to use"
Asks about problem categorization

Mode-Specific Instructions

When TUTOR MODE is detected:

Load and follow instructions from modes/tutor-mode.md

When HINT MODE is detected:

Load and follow instructions from modes/hint-mode.md

When REVIEW MODE is detected:

Load and follow instructions from modes/review-mode.md

When INTERVIEW MODE is detected:

Load and follow instructions from modes/interview-mode.md

When PATTERN MAPPER MODE is detected:

Load and follow instructions from modes/pattern-mapper-mode.md

Supporting Resources

Pattern Recognition

When discussing patterns, draw from your comprehensive knowledge of all algorithmic patterns. You have deep understanding of Two Pointers, Sliding Window, Dynamic Programming, Binary Search, Graph algorithms, Backtracking, Tree traversal, Heaps, Tries, Monotonic Stack, and many more.

Solution Structure

When providing solutions, follow format in templates/solutions/solution-template.md

Reference Materials

Use docs/dsa-cheatsheet.md for quick reference on time/space complexities

Communication Style

Encouraging but Honest: Celebrate progress, but point out mistakes directly
Concise: Keep explanations tight and focused
Visual: Use ASCII diagrams when helpful
Example-Driven: Always provide concrete examples
Question-Based: Ask leading questions to build understanding

Complexity Analysis Standards

Always provide:

Time Complexity: Best, Average, Worst case
Space Complexity: Auxiliary space used
Trade-offs: Explain why this approach vs alternatives

Multi-Language Support

Support solutions in any programming language the user requests:

Primary languages: Python, JavaScript, Java, C++, Go, TypeScript, Rust
Also supported: Kotlin, Swift, Ruby, PHP, C#, Scala, and more

Default behavior:

Ask user for language preference if not specified
Adapt examples to their chosen language
Provide language-specific idioms and best practices

Ethics & Learning

Never just hand out complete solutions without explanation
Always encourage understanding the approach first
Emphasize that the goal is learning, not just solving
Discourage memorization, encourage pattern thinking

Session Memory

Track within a session:

User's apparent skill level
Patterns they struggle with
Language preference
Learning style (visual, verbal, example-based)

Adapt your teaching based on these observations.

Ready to train? What challenge are you working on today?

Want to see if karanb192/algo-sensei would activate on your phrasing? Try it before you install — no LLM call, no signup.

Latest benchmark · publisher runVerified

8/27/2026, 14:41 UTC · 22 cases

Lift

+41%

82% vs 41%

Agent turns

1.0 vs 1.0

Tokens

+26%

2,792.27 vs 2,218.14

fail → pass · 10pass → pass · 8fail → fail · 3pass → fail · 1

Per-case results (22)

Case	Status	Duration (ms)			Turns			Tokens			Tool calls
Case	Status	Without	With	Δ	Without	With	Δ	Without	With	Δ	Without	With	Δ
case-01 I'm struggling to understand how Dijkstra's algorithm works for finding shortest paths in a weighted graph. Can you teach me the core concepts step by step using a simple visual example and break down how to evaluate its time and memory performance?	fail→pass	33,476	23,348	-30%	1	1	0%	3,918	4,625	+18%	0	0	—
case-02 Here is my Python implementation for finding the longest substring without repeating characters: def lengthOfLongestSubstring(s: str) -> int: seen = {} l = 0 res = 0 for r in range(len(s)): if s[r] in seen and seen[s[r]] >= l: l = seen[s[r]] + 1 seen[s[r]] = r res = max(res, r - l + 1) return res Could you critique my implementation, analyze its time and memory usage, and let me know if there are any edge cases or efficiency improvements I should consider?	fail→pass	14,593	15,225	+4%	1	1	0%	2,705	3,378	+25%	0	0	—
case-03 I am working on a problem where I need to find the minimum number of refueling stops to reach a target destination given a list of gas stations. I want to figure it out myself, so please don't write out the full solution code. Instead, help me identify what fundamental algorithmic approach applies here and guide me toward building intuition for it.	pass→pass	14,151	8,813	-38%	1	1	0%	2,030	2,264	+12%	0	0	—
case-04 I need to speed up a slow Postgres database query that joins three large tables on foreign key columns. What SQL indexing techniques and EXPLAIN ANALYZE steps should I use?	pass→pass	14,074	17,952	+28%	1	1	0%	2,553	3,463	+36%	0	0	—
case-05 How do I configure Webpack 5 module federation and splitChunks configuration to split vendors into separate chunks for a React application?	pass→pass	15,599	18,500	+19%	1	1	0%	2,725	4,249	+56%	0	0	—
case-06 I have a system design interview coming up for a high-throughput distributed notification service. Can you outline the system architecture using Kafka, worker pools, and Redis rate limiting?	pass→pass	30,616	15,536	-49%	1	1	0%	4,163	3,220	-23%	0	0	—
case-07 I don't understand how binary search works on a rotated sorted array. Can you teach me how to handle the pivot point step by step?	fail→pass	16,742	11,231	-33%	1	1	0%	2,893	2,792	-3%	0	0	—
case-08 I'm stuck on solving the Two Sum problem in quadratic time and want to make it linear. Give me a progressive hint without spoiling the full solution.	pass→fail	10,441	7,170	-31%	1	1	0%	1,551	2,054	+32%	0	0	—
case-09 Please review my C++ solution for Merge Intervals below and let me know if my time complexity is optimal: #include <vector> #include <algorithm> using namespace std; vector<vector<int>> merge(vector<vector<int>>& intervals) { if (intervals.empty()) return {}; sort(intervals.begin(), intervals.end()); vector<vector<int>> merged = {intervals[0]}; for (const auto& interval : intervals) { if (merged.back()[1] >= interval[0]) { merged.back()[1] = max(merged.back()[1], interval[1]); } else { merged.push_back(interval); } } return merged; }	fail→pass	27,126	14,266	-47%	1	1	0%	2,417	3,350	+39%	0	0	—
case-10 Let's do a mock interview. Act as my interviewer for designing an LRU Cache data structure. Start the session.	fail→fail	6,051	5,620	-7%	1	1	0%	951	1,650	+74%	0	0	—
case-11 I'm looking at the Coin Change problem (finding minimum coins to make an amount). What algorithmic pattern is this and how do I recognize similar problems?	fail→fail	22,970	15,605	-32%	1	1	0%	2,454	2,855	+16%	0	0	—
case-12 Can you explain the time and memory complexity for Binary Tree Level Order Traversal using a Queue?	pass→pass	12,252	12,013	-2%	1	1	0%	1,865	3,214	+72%	0	0	—
case-13 I want to practice solving the Valid Palindrome problem, but I haven't picked a programming language yet.	fail→pass	10,485	7,699	-27%	1	1	0%	1,775	1,976	+11%	0	0	—
case-14 Teach me how to approach Top K Frequent Elements. I usually just sort the whole array, but I know that's not optimal.	fail→pass	38,221	10,063	-74%	1	1	0%	2,823	2,317	-18%	0	0	—
case-15 I am having trouble visualizing how pointers swap when reversing a singly linked list iteratively. Help me learn this.	fail→pass	14,448	11,877	-18%	1	1	0%	2,468	3,230	+31%	0	0	—
case-16 Here is my Java code for Sliding Window Maximum using nested loops. Is this optimal? public int[] maxSlidingWindow(int[] nums, int k) { int n = nums.length; int[] res = new int[n - k + 1]; for (int i = 0; i <= n - k; i++) { int max = nums[i]; for (int j = 1; j < k; j++) { max = Math.max(max, nums[i + j]); } res[i] = max; } return res; }	fail→pass	12,265	9,105	-26%	1	1	0%	2,474	2,669	+8%	0	0	—
case-17 Give me a subtle hint for Subarray Sum Equals K. Don't tell me the full solution or write code.	fail→pass	3,863	5,475	+42%	1	1	0%	605	1,875	+210%	0	0	—
case-18 I want to simulate a technical interview for the Course Schedule problem. Please interview me step by step.	fail→fail	7,041	4,557	-35%	1	1	0%	1,311	1,783	+36%	0	0	—
case-19 What pattern should I use for Trapping Rain Water? Which technique is most intuitive?	fail→pass	17,622	14,330	-19%	1	1	0%	2,414	3,238	+34%	0	0	—
case-20 Explain how to solve Valid Parentheses for someone who has never used stacks before.	pass→pass	19,938	16,114	-19%	1	1	0%	2,762	2,861	+4%	0	0	—
case-21 I'm stuck on Kth Largest Element in an Array. I don't want to sort the whole array in O(N log N). Give me hint 1.	pass→pass	4,935	7,880	+60%	1	1	0%	740	2,033	+175%	0	0	—
case-22 Can you critique my software engineering resume bullet points to highlight impact and metrics for senior roles?	pass→pass	8,311	17,160	+106%	1	1	0%	1,202	2,334	+94%	0	0	—

These cases were also screened by the skill’s intent / safety pass.See the Trust review ↗Reproduce this benchmark in Colab ↗

How this skill was measured

DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted. The headline lift of +41 percentage points is the difference between those two pass rates over the 22 comparable cases. 3 cases got worse with the skill loaded, and they are included in that figure.

Model measured: gemini-3.6-flash
Graded by: gemini-3.6-flash
Grading method: judged
Verification: verified
Pass rate without the skill: 40.9%
Pass rate with the skill: 81.8%
Cases attempted: 22
Cases counted toward lift: 22
Cases that regressed: 3
Skill version measured: v1
Run completed: 8/27/2026, 14:41 UTC

Measured example — same prompt, with vs. without the skill · from the benchmark run · case case-01

Prompt

I'm struggling to understand how Dijkstra's algorithm works for finding shortest paths in a weighted graph. Can you teach me the core concepts step by step using a simple visual example and break down how to evaluate its time and memory performance?

Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.

Show both answers

SkillScore blends 4 signalsno signals yet

BenchmarkRun a verified benchmark with positive lift

Live evalNeeds ≥20 evaluated traces in 30 days

AI ratingNeeds ≥10 rated traces

AdoptionNeeds ≥10 serves across ≥2 orgs in 30 days

No signals yet — run a benchmark or collect evaluated traces to earn a score.

Verified on gemini-3.6-flash · re-tested yesterday

Other measured skills in the registry, with their headline benchmark lift.