cs

Purpose

This skill enables OpenClaw to handle core computer science theory, focusing on theoretical foundations (e.g., Turing machines, automata), problem classification (e.g., P vs NP), and complexity theory (e.g., Big O analysis). It provides precise tools for reasoning about algorithms and computational limits.

When to Use

Use this skill when tackling theoretical CS problems, such as verifying algorithm efficiency, classifying problem types (e.g., decidable vs undecidable), or optimizing code based on complexity metrics. Apply it during algorithm design, code reviews, or when debugging performance issues in theoretical contexts.

Key Capabilities

• Analyze time and space complexity of code snippets using Big O notation.
• Classify problems as P, NP, NP-complete, or undecidable based on input descriptions.
• Generate explanations of CS fundamentals, like finite state machines or halting problems.
• Compare algorithm complexities, e.g., via asymptotic analysis.
• Handle edge cases in theory, such as reduction proofs for problem classification.

Usage Patterns

To use this skill, invoke it via OpenClaw's CLI or API. Always provide inputs like code snippets or problem descriptions. For CLI, prefix commands with openclaw cs. For API, use HTTP requests to endpoints like /api/cs/analyze. Set the environment variable $OPENCLAW_API_KEY for authentication before any operation. Example pattern: Load the skill in your script, then call functions with required parameters, handling responses synchronously.