elementary-data-structures

elementary-data-structures is a skill for Claude Code, Codex from Arcadi4/nerdy. It costs 53 tokens per session (2,890 once invoked), scanned A, original, MIT.

A guide to basic data structures such as arrays, matrices, stacks, queues, linked lists, and rooted trees. It focuses on how their representation affects operations and behavior.

In plain words
What is it for?
Use it when implementing or comparing dynamic sets, stacks, queues, linked lists, matrices, or tree representations.
Why use it?
It helps you choose and review structures based on access patterns, ownership, locality, and rules that must remain true.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when implementing or comparing dynamic sets, stacks, queues, linked lists, matrices, or tree representations.

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Install with agentmods
npx agentmods add skills/arcadi4/nerdy/elementary-data-structures
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Arcadi4/nerdy --skill elementary-data-structures
Clone the repo
git clone --depth 1 https://github.com/Arcadi4/nerdy

Made for: Claude Code, Codex.

Wrote this? Show the measurements

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README.md
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Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,890 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00053 $0.02890
Opus 5.5 $0.00021 $0.01156
Sonnet 5.5 $0.00011 $0.00578
Haiku 4.5 $0.00005 $0.00289

Measured 1mo ago against content hash c2129b9583d9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

elementary-data-structures scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

clrs/elementary-data-structures/SKILL.md · 193 lines

How it starts

The opening of the file, as written. The whole thing — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Elementary Data Structures

Overview

Treat elementary data structures as representation contracts, not classroom containers. The core move is to name the operations, access pattern, ownership model, and boundary invariants before choosing arrays, lists, stacks, queues, or tree links.

Shared CLRS Conventions

Follow the parent clrs skill for mathematical formatting, formula-free headings, direct polished answers, and CLRS-wide answer style.

When to Use

  • A problem asks for arrays, matrices, stacks, queues, linked lists, sentinels, rooted trees, or left-child/right-sibling representation.
  • You need to implement or review a dynamic set with SEARCH, INSERT, DELETE, MINIMUM, MAXIMUM, SUCCESSOR, or PREDECESSOR-like operations.
  • A design hinges on contiguity, locality, pointer chasing, deletion by pointer, circular-buffer wraparound, sentinel nodes, or parent/child/sibling navigation.
  • A production discussion needs the lesson behind an undergraduate structure rather than a literal reimplementation.

Do not use this skill merely because code contains an array or list. Use ordinary language/library conventions unless representation choice, invariants, asymptotic behavior, or access patterns are central.

First Decision: What Contract Does the Structure Serve?

Need Prefer Why
Random indexed access and dense storage Contiguous array or vector Index arithmetic is constant time and cache-friendly
Append/pop at one end Dynamic array or stack abstraction Simpler and more local than pointer nodes
FIFO bounded buffer Circular array queue Constant-time operations with fixed memory and explicit full/empty policy
Frequent middle splice with existing node handles Doubly linked list Pointer rewiring is constant time once the node is known
Search by key in an unordered small set Array or list if tiny; otherwise a real dictionary Elementary structures expose the cost; later chapters provide better dictionaries
Ordered enumeration from elementary structures only Sorted array/list if updates are rare Maintaining order shifts update cost somewhere
Variable-arity rooted tree Child vectors or left-child/right-sibling Choose by child iteration, random child access, memory, and parent navigation

Read the full file on GitHub · 193 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 193 lines · 53 tokens per session scan A c2129b9583d9

Subscribe to this mod's changes

elementary-data-structures is a skill published in the GitHub repository Arcadi4/nerdy (6 stars, last pushed 6mo ago), licensed MIT. It adds 53 tokens to every session and 2,890 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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