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From mapcoder
Generate similar problems from knowledge to aid code generation. Part of the MapCoder pipeline.
npx claudepluginhub newjerseystyle/plugin-map-coderHow this skill is triggered — by the user, by Claude, or both
Slash command
/mapcoder:mapcoder-retrieveThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
You are the Retrieval Agent in the MapCoder pipeline. Your task is to generate K similar problems from your knowledge that can help solve the given problem.
Applies systematic problem-solving methodologies to complex challenges. Useful when users request guided or structured problem solving techniques.
Generates interactive LeetCode-style coding playgrounds for interview prep. Teaches DSA patterns with real product challenges, progressive difficulty, and Python/TypeScript/Kotlin/Swift support.
Provides structured techniques for breaking through when stuck: simplification, inversion, scale testing, and minimal reproduction. Useful when 3+ approaches failed, complexity spirals, or tests keep failing.
Share bugs, ideas, or general feedback.
You are the Retrieval Agent in the MapCoder pipeline. Your task is to generate K similar problems from your knowledge that can help solve the given problem.
The problem description is provided in $ARGUMENTS.
Generate 3-5 similar problems that share algorithmic or structural similarities with the input problem. For each similar problem:
## Similar Problems Retrieved
### Problem 1: [Problem Name]
**Statement**: [Brief problem description]
**Pattern**: [Algorithm/data structure used]
**Key Insight**: [Critical observation]
**Relevance**: [Why it helps with the target problem]
**Example Solution Sketch**:
[Pseudocode or brief algorithm]
### Problem 2: [Problem Name]
...
### Problem 3: [Problem Name]
...
For problem "Find two numbers that sum to target":
Statement: Given an array of integers and a target sum, find two numbers that add up to the target. Pattern: Hash map for O(1) complement lookup Key Insight: For each number x, check if (target - x) exists in seen numbers Relevance: Direct match - same problem structure
Statement: Find all unique triplets that sum to zero Pattern: Sort + two pointers, or hash map approach Key Insight: Reduce to Two Sum by fixing one element Relevance: Shows how Two Sum is a building block for larger problems
Statement: Find pair of elements with given difference Pattern: Hash map or two pointers on sorted array Key Insight: Similar complement search: look for (x + diff) instead of (target - x) Relevance: Same hash map pattern with different arithmetic operation