complexity-cuts
Lower Big-O on existing code via a one-transformation-at-a-time playbook with verify-revert-stop. For new code use lemmaly; for math-level wins escalate to mathguard.
IT & Software Developmentalgorithmsbig-on-plus-oneoptimizationperformancerefactoring
complexity-cuts — Lower Big-O on Existing Code
lemmaly prevents bad complexity before code is written. complexity-cuts fixes it after the fact: code already exists, it works, but its time or space complexity is worse than necessary.
Violating the letter of these rules is violating the spirit of the skill. Adapting "just a little" is how a faster-but-wrong rewrite ships.
When to Use This Skill
Use complexity-cuts when refactoring existing code that has poor Big-O:
- Nested loops,
O(n²)or worse scans, repeated work, redundant allocations, blown memory. - Stated symptoms: "this is slow on large inputs", "times out", "OOM", "too much memory", "reduce complexity", "optimize this algorithm".
- N+1 query patterns in ORMs (Prisma, Drizzle, SQLAlchemy, Django, ActiveRecord).
awaitinsideforover independent items causing serial latency.
For preventing bad complexity before code is written, use lemmaly. For math-level optimizations (Bloom, HLL, FFT, JL projection), escalate to mathguard.
The Iron Law
NO TRANSFORMATION WITHOUT EXISTING TESTS GREEN BEFORE AND AFTERIf the code has no tests, you write a characterization test first (golden input → current output). Then transform. Then verify the test still passes. If you skip this, the optimization can silently break callers — and faster-but-wrong is worse than slow-and-righ
Subscribers only
The full skill, its 1 bundled files and every download is included with every paid Complete AI plan.
Details
| Source | morsechimwai/lemmaly |
|---|---|
| License | Apache-2.0 |
| Risk label | safe ("critical" means the skill may run commands or touch files — read before use) |
| Files | SKILL.md |
| Added | 2026-05-26 |
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