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data-structures-algorithms
by
piuaibot-stack
· GitHub ↗
· v1.0.0
· MIT-0
19
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1
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Install in OpenClaw
/install data-structures-algorithms
Description
Use when solving algorithmic problems, optimizing code, or choosing the right data structure for performance.
README (SKILL.md)
Data Structures & Algorithms
Complexity Analysis
- Always analyze time AND space complexity
- Big O: O(1) \x3C O(log n) \x3C O(n) \x3C O(n log n) \x3C O(n²) \x3C O(2ⁿ)
- Amortized analysis for dynamic structures
Core Data Structures
| Structure | Access | Search | Insert | Delete | Use When |
|---|---|---|---|---|---|
| Array | O(1) | O(n) | O(n) | O(n) | Random access, cache locality |
| Hash Map | O(1) | O(1) | O(1) | O(1) | Key-value lookup |
| Linked List | O(n) | O(n) | O(1) | O(1) | Frequent insert/delete |
| Binary Search Tree | O(log n) | O(log n) | O(log n) | O(log n) | Sorted data |
| Heap | O(1) top | O(n) | O(log n) | O(log n) | Priority queue |
| Graph | - | O(V+E) | O(1) | O(E) | Relationships, paths |
Algorithm Patterns
- Two Pointers — sorted arrays, palindromes
- Sliding Window — subarray/substring problems
- Binary Search — sorted data, search space reduction
- DFS/BFS — tree/graph traversal
- Dynamic Programming — overlapping subproblems, optimal substructure
- Greedy — locally optimal choices lead to global optimum
- Divide & Conquer — merge sort, quick sort
Choosing the Right Structure
- Need O(1) lookup? → Hash Map
- Need sorted order? → BST / Sorted Array
- Need LIFO? → Stack
- Need FIFO? → Queue
- Need priority? → Heap
- Need relationships? → Graph
- Need prefix search? → Trie
Usage Guidance
This skill is low-risk: it only contains educational guidance and does not request credentials or install software. If you plan to rely on it for technical correctness, review its algorithmic claims against authoritative sources (textbook or documentation) because some complexity entries are simplified. No special security precautions are needed before installing, aside from the usual caution about enabling any skill to run autonomously on your agent (this skill is allowed to be invoked by the model by default, which is standard).
Capability Analysis
Type: OpenClaw Skill
Name: data-structures-algorithms
Version: 1.0.0
The skill bundle consists entirely of educational documentation and best practices for data structures and algorithms. It contains no executable code, network activity, or malicious instructions, serving only as a reference for the AI agent to improve problem-solving and complexity analysis in SKILL.md.
Capability Assessment
Purpose & Capability
Name and description match the SKILL.md content: guidance on complexity, data structures, and algorithmic patterns. There are no unrelated requirements (no binaries, env vars, or installs).
Instruction Scope
The runtime instructions are purely educational text and do not direct the agent to read files, call external services, or access environment variables. Some table entries are simplified (e.g., graph insert/delete complexities, or contextual details for array/linked-list operations) but these are content-accuracy notes rather than security concerns.
Install Mechanism
No install spec and no code files — lowest-risk pattern (instruction-only). Nothing will be downloaded or written to disk by the skill itself.
Credentials
The skill requests no environment variables, no credentials, and no config paths. There is no disproportionate access requested.
Persistence & Privilege
always is false and the skill is user-invocable. It does not request elevated or persistent system presence or modify other skills' configs.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install data-structures-algorithms - After installation, invoke the skill by name or use
/data-structures-algorithms - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of the data-structures-algorithms skill.
- Provides guidelines for time and space complexity analysis.
- Summarizes access, search, insert, and delete performance for core data structures.
- Lists common algorithmic patterns and when to use them.
- Offers quick-reference tips for selecting the appropriate data structure based on use case.
Metadata
Frequently Asked Questions
What is data-structures-algorithms?
Use when solving algorithmic problems, optimizing code, or choosing the right data structure for performance. It is an AI Agent Skill for Claude Code / OpenClaw, with 19 downloads so far.
How do I install data-structures-algorithms?
Run "/install data-structures-algorithms" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is data-structures-algorithms free?
Yes, data-structures-algorithms is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does data-structures-algorithms support?
data-structures-algorithms is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created data-structures-algorithms?
It is built and maintained by piuaibot-stack (@piuaibot-stack); the current version is v1.0.0.
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