Diagnose codebase bottlenecks and recommend optimal data structures and algorithms.
npx skills add https://github.com/Fearvox/data-algo-skill --skill data-algo
Please help me install this Agent Skill. Skill: data-algo Source: https://github.com/Fearvox/data-algo-skill/tree/main/data-algo Command: npx skills add https://github.com/Fearvox/data-algo-skill --skill data-algo
Diagnoses bottlenecks in real codebases by recommending optimal data structures and algorithms, and implements the chosen approach directly while recording decisions in per-project profiles.
Provide a codebase context and I will diagnose bottlenecks, propose data-structure-driven fixes, and ship the improvement.
High-intent search queries and answers about installing and using this skill.
Diagnose code bottlenecks by profiling nested iterations and inferring constraints like input size and read/write ratios. The Skill then recommends optimal data-structure choices with Big-O trade-offs to resolve the performance issues.
Optimize nested loops by applying search, sort, filter, graph, cache, or queue patterns. The Skill loads algorithmic paradigms from a knowledge base to identify inefficient iterations and prescribe targeted data-structure replacements.
Replace current data structures when profiling reveals constraints like high memory usage or slow write ratios. The Skill infers these limits from your codebase and recommends 2-3 alternative approaches with comparative Big-O trade-offs.
Use express mode for a quick algorithm fix when only one clear solution exists. Standard mode provides 2-3 optimization approaches with detailed trade-offs, while express mode directly ships the single best data-structure choice.
Track code optimization decisions using per-project algorithm profiles. The Skill archives chosen data-structure approaches and their outcomes, allowing you to capture and reuse proven solutions across different projects.
The approach works without specific profiling framework dependencies. It diagnoses bottlenecks directly from your codebase context, analyzing nested iterations and applying algorithmic paradigms to guide data-structure optimization.
zb-ssStandardize workflow phase agent file operations and state tracking.
MeetTechnologyBatch archive completed OpenSpec changes and resolve conflicts by inspecting the codebase.
kirvinMeasure baseline performance, identify bottlenecks, and evaluate optimization trade-offs.
2zcoryGuide algorithmic problem analysis, paradigm selection, and correctness reasoning.
