leetcode-coach

name

leetcode-coach

description

Find and set up coding practice problems tailored to your weak areas, then create local files so you can solve them right away. Use this skill when a user wants to practice coding, asks for a LeetCode problem, says "give me a coding challenge", "I want to practice DSA", "help me prep for coding interviews", "find me a problem to solve", "I'm weak at dynamic programming", "quiz me on algorithms", or any request to practice coding with a specific language or topic focus.

LeetCode Coach

Find coding problems matched to your weak areas from LeetCode, HackerRank, and Codeforces — then set up local files so you can start solving immediately.

Pre-flight Check (REQUIRED)

Before making any TinyFish call, always run BOTH checks:

1. CLI installed?

which tinyfish && tinyfish --version || echo "TINYFISH_CLI_NOT_INSTALLED"

If not installed, stop and tell the user:

Install the TinyFish CLI: npm install -g @tiny-fish/cli

2. Authenticated?

tinyfish auth status

If not authenticated, stop and tell the user:

You need a TinyFish API key. Get one at: https://agent.tinyfish.ai/api-keys

Then authenticate:

tinyfish auth login

Do NOT proceed until both checks pass.

---

Step 1 — Gather inputs

Ask for the following if not already provided:

Required:

• Preferred language — e.g. Python, JavaScript, Java, C++, Go, Rust

Optional (but improves results):

• Weak areas / topics to focus on — e.g. "dynamic programming", "graphs", "sliding window", "binary search", "recursion", "trees"
• Difficulty — Easy / Medium / Hard (default: Medium)

If the user isn't sure of their weak areas, ask:

"What topics do you find yourself getting stuck on, or want to get better at?"

If they still aren't sure, default to: Arrays, Strings, and Hash Maps (the most commonly tested fundamentals).

---

Step 2 — Find matching problems

Fire parallel TinyFish agents across LeetCode, HackerRank, and Codeforces to find real problems matching the topic and difficulty.

# Agent 1 — LeetCode problem search
tinyfish agent run \
  --url "https://leetcode.com/problemset/?difficulty={DIFFICULTY}&topicSlugs={TOPIC_SLUG}" \
  "You are on the LeetCode problem set page filtered by difficulty and topic.
   Find 3 problems that match the topic: {TOPIC}.
   For each problem extract:
   - title
   - difficulty (Easy/Medium/Hard)
   - acceptance rate
   - topic tags
   - direct URL to the problem (e.g. https://leetcode.com/problems/two-sum/)
   STRICT RULES:
   - Do NOT click any problem to open it
   - Read only the problem listing visible on this page
   - Return exactly 3 problems, no more
   - Skip premium-only problems (marked with a lock icon)
   Return JSON array: [{title, difficulty, acceptance_rate, tags, url}]" \
  --sync > /tmp/lc_leetcode.json &

# Agent 2 — HackerRank problem search
tinyfish agent run \
  --url "https://www.hackerrank.com/domains/algorithms?filters%5Bsubdomains%5D%5B%5D={TOPIC_SLUG}" \
  "You are on HackerRank's algorithms problem listing filtered by topic.
   Find 2 problems that match the topic: {TOPIC} at {DIFFICULTY} level.
   For each problem extract:
   - title
   - difficulty
   - score/points
   - topic tags
   - direct URL to the problem
   STRICT RULES:
   - Do NOT click any problem
   - Read only the visible listing
   - Return up to 2 problems
   - Skip problems requiring premium or contests
   Return JSON array: [{title, difficulty, score, tags, url}]" \
  --sync > /tmp/lc_hackerrank.json &

# Agent 3 — Codeforces problem search
tinyfish agent run \
  --url "https://codeforces.com/problemset?tags={TOPIC_SLUG}" \
  "You are on Codeforces problem set filtered by tag.
   Find 2 problems matching the topic: {TOPIC} at approximately {DIFFICULTY} level
   (Easy ≈ rating 800-1200, Medium ≈ 1300-1800, Hard ≈ 1900+).
   For each problem extract:
   - problem ID (e.g. 1A, 158B)
   - title
   - rating
   - tags
   - direct URL (e.g. https://codeforces.com/problemset/problem/1/A)
   STRICT RULES:
   - Do NOT click any problem
   - Read only the visible listing
   - Return up to 2 problems
   Return JSON array: [{id, title, rating, tags, url}]" \
  --sync > /tmp/lc_codeforces.json &

wait

echo "=== LEETCODE ===" && cat /tmp/lc_leetcode.json
echo "=== HACKERRANK ===" && cat /tmp/lc_hackerrank.json
echo "=== CODEFORCES ===" && cat /tmp/lc_codeforces.json

Before running, replace:

• {DIFFICULTY} — Easy / Medium / Hard
• {TOPIC} — human-readable topic e.g. dynamic programming
• {TOPIC_SLUG} — URL-friendly e.g. dynamic-programming

---

Step 3 — Present problem options

From the results, pick the 3 best problems across all sources. Prefer:

1. LeetCode problems (widest community support, best editorial availability)
2. Problems with clear descriptions visible from the listing
3. Problems with acceptance rates between 30-60% for Medium difficulty

Present them like this:

Here are 3 problems matched to your focus on **{TOPIC}** in **{LANGUAGE}**:

**Option 1 — {Title}** ({difficulty}) · {source}
Tags: {tags}
Acceptance: {rate}
🔗 {url}

**Option 2 — {Title}** ({difficulty}) · {source}
Tags: {tags}
🔗 {url}

**Option 3 — {Title}** ({difficulty}) · {source}
Tags: {tags}
🔗 {url}

Which one do you want to tackle? (1, 2, or 3)

Wait for the user to choose a problem before proceeding.

---

Step 3b — Ask how they want to solve it

Once the user picks a problem, ask:

How do you want to solve it?

1. **On the website** — I'll give you the direct link and you solve it in the browser
2. **Locally** — I'll fetch the full problem and set up files on your machine so you can code in your editor

(1 or 2)

If they choose option 1 (website): Give them the direct link to the problem and wish them luck:

Here you go: {problem_url}

Good luck! Come back and paste your solution when you're done — I'll review it.

Stop here. Do not create any files.

If they choose option 2 (locally): Continue to Step 4.

---

Step 4 — Fetch the full problem

Once the user picks, fetch the full problem description using TinyFish.

tinyfish agent run \
  --url "{CHOSEN_PROBLEM_URL}" \
  "You are on a coding problem page. Extract the complete problem details.
   Extract:
   - title
   - difficulty
   - full problem description (exactly as written — do not paraphrase)
   - constraints (exact list)
   - all example inputs and outputs with explanations
   - topic tags
   - any follow-up questions mentioned
   STRICT RULES:
   - Do NOT click any links
   - Extract the complete description verbatim — do not shorten it
   - If examples have visual diagrams described in text, include them
   Return JSON: {title, difficulty, description, constraints: [], examples: [{input, output, explanation}], tags: [], followup}" \
  --sync

---

Step 5 — Create local files

Once you have the full problem, create these three files in the current working directory:

problem.md

# {Problem Title}

**Source:** {url}
**Difficulty:** {difficulty}
**Tags:** {tags}
**Language:** {language}

---

## Problem

{full problem description}

## Constraints

{constraints as bullet list}

## Examples

### Example 1
**Input:** {input}
**Output:** {output}
**Explanation:** {explanation}

### Example 2
...

---

## Notes
<!-- Add your approach notes here before coding -->

solution.{ext}

Create a starter file with the correct extension for the chosen language and a function signature scaffold. Use the appropriate extension:

Language	Extension	Starter
Python	.py	def solution(): with docstring
JavaScript	.js	function solution() {} with JSDoc
TypeScript	.ts	typed function signature
Java	.java	class + method scaffold
C++	.cpp	#include + function
Go	.go	package + func
Rust	.rs	fn solution()

Include a comment at the top:

// Problem: {title}
// Source: {url}
// Difficulty: {difficulty}
// Your approach: (fill this in before coding)

Infer the function signature from the problem description if possible (e.g. if the problem says "given an array of integers, return..."). If unclear, use a generic starter.

test_cases.md

# Test Cases — {Problem Title}

## From the problem

| # | Input | Expected Output |
|---|-------|----------------|
| 1 | {input} | {output} |
| 2 | {input} | {output} |

## Edge cases to consider
<!-- Think about: empty input, single element, negative numbers, duplicates, max constraints -->
- [ ] Empty input
- [ ] Single element
- [ ] Already sorted / already valid
- [ ] Maximum constraint size

---

Step 6 — Brief the user

Once the files are created, tell the user:

Files created:
- problem.md     ← full problem description
- solution.{ext} ← starter template in {language}
- test_cases.md  ← sample test cases + edge case checklist

Take your time and solve it. When you're done, paste your solution here and I'll review it — checking for correctness, edge cases, time complexity, and style.

Good luck!

---

Edge Cases

• LeetCode returns no results for topic — fall back to searching https://leetcode.com/problemset/?search={TOPIC} without the filter
• Problem URL is premium-only — skip it and pick the next best option from the results
• User doesn't know their weak areas — default to Arrays + Hash Maps (Medium), which covers the widest range of interview fundamentals
• User wants a specific problem by name — skip Steps 2-3, go straight to fetching and creating files for that problem
• Codeforces returns nothing — skip it silently, present options from LeetCode and HackerRank only
• User is a complete beginner — suggest Easy difficulty and start with Two Sum (LeetCode #1) as a warm-up before moving to their topic of interest