claude

algorithm-expert

Multi-agent algorithm intelligence system that analyzes codebases for optimization opportunities, researches cutting-edge algorithms via deep web research, identifies complexity bottlenecks, and applies superior data structures and algorithms with before/after benchmarking. 3 commands, 7 agents, 1 skill, 3 templates.

0 on GitHubby Trusted American Insurance Agencyv1.0.0MITupdated 20 days ago
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Plugin algorithm-expert from marketplace taia-marketplace in trusted-american/marketplace. Commands read from the repo's manifest — 19 days ago.

What it installs

Skills (1)

  • algorithms

    Comprehensive reference on algorithm families, data structures, complexity analysis, optimization techniques, and decision frameworks for selecting the right algorithm for any computational problem

Slash commands (3)

  • /algorithm-expert:analyze

    Analyze a codebase for algorithmic bottlenecks, suboptimal data structures, and optimization opportunities — produces a prioritized report with complexity analysis and recommended replacements

  • /algorithm-expert:apply

    Apply a specific algorithm optimization to the codebase — replaces a suboptimal algorithm or data structure with a superior one, including before/after benchmarking and correctness verification

  • /algorithm-expert:research

    Research algorithms for a specific problem domain — searches academic papers, algorithm databases, competitive programming resources, and cutting-edge implementations to find the best approach for your problem

Subagents (7)

  • algorithm-researcher

    Use this agent to research classic and cutting-edge algorithms for a specific computational problem. It searches academic papers, competitive programming resources, algorithm databases, engineering blogs, and library documentation to find the best known approaches with complexity analysis and trade-

  • benchmark-runner

    Use this agent to create and run before/after benchmarks for algorithm optimizations. It generates language-appropriate benchmark code, measures execution time and memory usage, runs statistical analysis, and produces a performance comparison report.

  • complexity-analyzer

    Use this agent to perform Big-O complexity analysis on every significant function in a codebase. It traces execution paths, identifies nested loops, recursive calls, hidden library costs, and produces a comprehensive complexity inventory with bottleneck rankings.

  • data-structure-auditor

    Use this agent to audit every data structure choice in a codebase and recommend optimal replacements. It evaluates arrays, maps, sets, trees, queues, and custom structures against actual access patterns to find mismatches between the data structure and how it's used.

  • implementation-surveyor

    Use this agent to find real-world implementations and libraries that solve a specific algorithmic problem. It surveys standard libraries, popular packages, open-source projects, and production deployments to identify battle-tested solutions with quality assessments and benchmarks.

  • optimizer

    Use this agent to implement a specific algorithm optimization in code. It replaces a suboptimal algorithm or data structure with a superior one while preserving all behavior contracts, maintaining code quality, and ensuring correctness through manual trace verification.

  • pattern-matcher

    Use this agent to identify algorithmic anti-patterns in code and map them to superior alternatives. It recognizes suboptimal algorithm choices like linear search where binary search applies, brute force where dynamic programming applies, and naive implementations where standard library solutions exi

View source on GitHub

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