lazyFrogLOL

36 mods across 1 repository, 126 stars between them.

query-optimize

25

lazyFrogLOL/Harness_Engineering

Skill Claude CodeCodex

Guidance for SQL query optimization tasks. This skill should be used when optimizing slow SQL queries, improving database performance, or rewriting queries to be more efficient. Covers query plan anal.

126 3mo ago A 39 tokens

raman-fitting

26

lazyFrogLOL/Harness_Engineering

Skill Claude CodeCodex

This skill provides guidance for fitting peaks in Raman spectroscopy data, particularly for materials like graphene. Use this skill when tasks involve Raman spectrum analysis, peak fitting (G peak, 2D peak, D peak), or spectroscopic curve fitting using Lorentzian, Gaussian, or Voigt functions.

126 3mo ago A 63 tokens

reshard-c4-data

27

lazyFrogLOL/Harness_Engineering

Skill Claude CodeCodex

Guidance for data resharding tasks that involve reorganizing files across directory structures with constraints on file sizes and directory contents. This skill applies when redistributing datasets, splitting large files, or reorganizing data into shards while maintaining constraints like maximum files per directory…

126 3mo ago A 82 tokens

sanitize-git-repo

28

lazyFrogLOL/Harness_Engineering

Skill Claude CodeCodex

Guidance for sanitizing git repositories by identifying and removing sensitive credentials, API keys, tokens, and other secrets. This skill should be used when tasks involve cleaning repositories of secrets, preparing code for public release, auditing for credential exposure, or removing sensitive data from version…

126 3mo ago A 62 tokens

lazyFrogLOL/Harness_Engineering

Skill Claude CodeCodex

Guide for implementing metacircular evaluators—interpreters that can interpret themselves. This skill should be used when building self-interpreting Scheme-like evaluators, debugging multi-level interpretation issues, or implementing language features like environments, closures, and special forms. Focuses on…

126 3mo ago A 80 tokens

lazyFrogLOL/Harness_Engineering

Skill Claude CodeCodex

This skill provides guidance for implementing PyTorch pipeline parallelism for distributed training of large language models. It should be used when implementing pipeline parallel training loops, partitioning transformer models across GPUs, or working with AFAB (All-Forward-All-Backward) scheduling patterns. The skill…

126 3mo ago A 84 tokens

lazyFrogLOL/Harness_Engineering

Skill Claude CodeCodex

This skill provides guidance for implementing tensor parallelism in PyTorch, specifically column-parallel and row-parallel linear layers. Use when implementing distributed neural network layers that split weights/activations across multiple ranks, working with torch.distributed for model parallelism, or implementing…

126 3mo ago A 69 tokens

train-fasttext

32

lazyFrogLOL/Harness_Engineering

Skill Claude CodeCodex

This skill provides guidance for training FastText text classification models with constraints on accuracy and model size. It should be used when training fastText supervised models, optimizing model size while maintaining accuracy thresholds, or when hyperparameter tuning for text classification tasks.

126 3mo ago A 52 tokens

vulnerable-secret

34

lazyFrogLOL/Harness_Engineering

Skill Claude CodeCodex

This skill provides guidance for extracting secrets from vulnerable executables. It should be used when tasks involve binary analysis, reverse engineering executables to find hidden flags/secrets, or exploiting buffer overflows and other vulnerabilities to extract protected data. Applicable to CTF challenges, security…

126 3mo ago A 66 tokens

lazyFrogLOL/Harness_Engineering

Skill Claude CodeCodex

Guidance for developing CoreWars warriors that achieve target win rates against specific opponents. This skill should be used when tasks involve writing, optimizing, or debugging Redcode assembly warr.

126 3mo ago A 40 tokens

write-compressor

36

lazyFrogLOL/Harness_Engineering

Skill Claude CodeCodex

This skill provides guidance for implementing custom compression encoders that must be compatible with existing decoders (especially arithmetic coding). It should be used when the task requires writing a compressor/encoder that produces output compatible with a given decompressor/decoder, or when implementing…

126 3mo ago A 64 tokens