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morsechimwai

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The proof layer for AI coding. Every algorithm chosen on purpose, every complexity stated, every invariant written down — before the code ships.

7 indexed · 0 Featured · 1 stars · avg score 76
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Indexed Skills (7)

AI & Automation Listed

humanizer

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, passive voice, negative parallelisms, and filler phrases.

1 Updated 1 weeks ago
morsechimwai
AI & Automation Listed

humanize

Transform AI-generated text into natural, human-like content that bypasses AI detectors like GPTZero, Turnitin, and Originality.ai. Uses credits based on word count.

1 Updated 1 weeks ago
morsechimwai
AI & Automation Listed

complexity-cuts

Use when refactoring existing code that has poor Big-O — nested loops, O(n^2)+ scans, repeated work, redundant allocations, blown memory, or stated symptoms like "this is slow on large inputs", "times out", "OOM", "too much memory", "reduce complexity", "optimize this algorithm". Targets time and space complexity of code that already exists. For preventing bad complexity before code is written, use lemmaly. For math-level optimizations (Bloom, HLL, FFT, JL projection), escalate to mathguard.

1 Updated 1 weeks ago
morsechimwai
AI & Automation Listed

invariant-guard

Use when writing or reviewing algorithms where the obvious implementation is subtly wrong — postcondition stronger than the loop's natural invariant (Boyer–Moore majority, Floyd cycle, leftmost vs any binary search, QuickSelect partition); in-place mutation with read+write pointers (dedup-in-place, partition, rotate); recursion with multiple parameters or accumulator state; off-by-one suspects with duplicates, empty inputs, boundary values; iterative refinements that must terminate (fixed-point, Newton, EM); any function where you catch yourself thinking "I know this algorithm" — the trap is usually in the contract, not the loop body. Forces writing the function contract (especially the postcondition) and loop invariant BEFORE code. Pairs with lemmaly (picks the algorithm) and mathguard (picks the math).

1 Updated 1 weeks ago
morsechimwai
AI & Automation Listed

lemmaly

Use whenever writing, editing, or reviewing code that involves loops, collections, lookups, searches, joins, recursion, graphs, queries, or any computation over more than a handful of items. Forces algorithmic thinking BEFORE writing code — names the time/space complexity, the data structure, the algorithm family, and the dominant input dimension. Catches O(n^2) loops, N+1 queries, repeated work, wrong data structures, and lazy brute-force solutions that AI assistants ship by default. Pairs with mathguard (advanced math optimization), invariant-guard (correctness), and complexity-cuts (corrective Big-O fixes).

1 Updated 1 weeks ago
morsechimwai
AI & Automation Listed

mathguard

Use when working with large-scale data, similarity search, deduplication, top-K / heavy-hitters, streaming analytics, cardinality estimation, embeddings, recommender systems, signal/image processing, polynomial or big-integer arithmetic, convolution, graph distance, computational geometry, randomized algorithms, or any problem with n >= 10^6 where exact computation is wasteful. Recognizes when classical algorithms hit their lower bound and an approximate or math-heavy technique (Bloom filter, HyperLogLog, Count-Min Sketch, MinHash/LSH, FFT/NTT, Johnson-Lindenstrauss projection, sweep line, kd-tree/BVH, fast exponentiation, monoid parallel reduction, amortized potential method) gives an asymptotic win. Load after lemmaly when a classical O(n log n) is the floor but smarter math wins.

1 Updated 1 weeks ago
morsechimwai
AI & Automation Listed

runaway-guard

Use when writing or reviewing code that calls a paid AI / inference API in a loop, queue, retry path, agent step, webhook handler, or background job — Fal.ai, Anthropic, OpenAI, Replicate, ElevenLabs, Together, Groq, Cohere, Mistral, fal-client, @anthropic-ai/sdk, openai, replicate. Treats dollar cost as a third complexity dimension alongside time and space. Forces writing a per-run $-cap, a per-day $-cap, a max-iterations bound, and a concurrency limit BEFORE the call site is written — and forces a matching hard cap at the provider dashboard so a code bug cannot bypass it. The canonical failure is a $200 overnight bill from a retry loop that "obviously terminates" but did not. Pairs with invariant-guard (termination is now a wallet invariant) and complexity-cuts (when the runaway already shipped).

1 Updated 1 weeks ago
morsechimwai

Bio shown is the top-scored skill's repo description as a fallback — real GitHub bios land in a future update.