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letta-ai AI Skills

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Explorez les skills IA publiés de letta-ai et consultez leurs instructions source.

Statistiques de l’auteur

Skills indexés

206

Étoiles des dépôts des skills indexés

39,577

Forks du dépôt

4,798

Moyenne des étoiles par skill indexé

192

Les étoiles d’un dépôt peuvent se répéter entre ses skills.

206 skills

Explorer

GitHub

code-from-image

letta-ai

Guide for extracting code or pseudocode from images using OCR and implementing it correctly. This skill should be used when tasks involve reading code, pseudocode, or algorithms from images (PNG, JPG, screensho...

GitHub

pytorch-model-recovery

letta-ai

Guidance for recovering PyTorch model architectures from state dictionaries, retraining specific layers, and saving models in TorchScript format. This skill should be used when tasks involve reconstructing mode...

GitHub

mteb-leaderboard

letta-ai

This skill provides guidance for retrieving and verifying information from dynamic ML leaderboards (MTEB, Scandinavian Embedding Benchmark, HuggingFace leaderboards, etc.) with specific temporal requirements. I...

GitHub

portfolio-optimization

letta-ai

Guidance for implementing high-performance portfolio optimization using Python C extensions. This skill applies when tasks require optimizing financial computations (matrix operations, covariance calculations,...

GitHub

build-cython-ext

letta-ai

Guidance for building and fixing Cython extensions, particularly for numpy compatibility issues. This skill should be used when tasks involve compiling Cython code, fixing deprecated numpy type errors, or resol...

GitHub

large-scale-text-editing

letta-ai

Provides strategies for efficiently transforming large text files (thousands to millions of lines) using text editors like Vim, sed, or awk. This skill should be used when tasks involve bulk text transformation...

GitHub

rstan-to-pystan

letta-ai

This skill provides guidance for translating RStan (R-based Stan interface) code to PyStan (Python-based Stan interface). It should be used when converting Stan models from R to Python, migrating Bayesian infer...

GitHub

reshard-c4-data

letta-ai

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 l...

GitHub

caffe-cifar-10

letta-ai

Guidance for building and training with the Caffe deep learning framework on CIFAR-10 dataset. This skill applies when tasks involve compiling Caffe from source, training convolutional neural networks on image...

GitHub

db-wal-recovery

letta-ai

Guidance for recovering data from SQLite Write-Ahead Log (WAL) files that may be corrupted, encrypted, or inaccessible. This skill should be used when tasks involve database recovery, WAL file analysis, decrypt...

GitHub

install-windows-3-11

letta-ai

Guidance for setting up legacy Windows VMs (like Windows 3.11) in QEMU with web-based remote access via noVNC. This skill should be used when tasks involve running legacy operating systems in virtual machines,...

GitHub

nginx-request-logging

letta-ai

Guidance for configuring Nginx web servers with custom logging, rate limiting, and static content serving. This skill should be used when tasks involve setting up Nginx server blocks, configuring custom log for...

GitHub

sam-cell-seg

letta-ai

Guidance for SAM-based cell segmentation and mask conversion tasks involving MobileSAM, mask-to-polygon conversion, CSV processing, and command-line interface design. This skill applies when working with Segmen...

GitHub

prove-plus-comm

letta-ai

Guidance for proving mathematical properties in Coq using induction, specifically addition commutativity and similar arithmetic lemmas. This skill should be used when working with Coq proof assistants to comple...

GitHub

make-doom-for-mips

letta-ai

Guide for cross-compiling complex C programs (like DOOM) for embedded MIPS environments with custom VM runtimes. This skill applies when building software that targets MIPS architecture with limited stdlib supp...

GitHub

adaptive-rejection-sampler

letta-ai

Guidance for implementing adaptive rejection sampling (ARS) algorithms for generating random samples from log-concave probability distributions. This skill should be used when tasks involve implementing ARS, re...

GitHub

extracting-pdf-text

letta-ai

Extract text from PDFs for LLM consumption. Use when processing PDFs for RAG, document analysis, or text extraction. Supports API services (Mistral OCR) and local tools (PyMuPDF, pdfplumber). Handles text-based...

GitHub

chess-best-move

letta-ai

Guide for analyzing chess board images to find the best move(s). This skill should be used when tasks involve analyzing chess positions from images, detecting piece positions, identifying winning moves, or solv...

GitHub

db-wal-recovery

letta-ai

Guide for recovering data from SQLite Write-Ahead Log (WAL) files that may be corrupted, encrypted, or inaccessible through standard methods. This skill should be used when tasks involve SQLite database recover...

GitHub

path-tracing

letta-ai

Guidance for implementing path tracers and ray tracers to reconstruct or generate images. This skill applies when tasks involve writing C/C++ ray tracing code, reconstructing images from reference images, or bu...

GitHub

sanitize-git-repo

letta-ai

Guide for sanitizing git repositories by identifying and replacing sensitive information such as API keys, tokens, and credentials. This skill should be used when tasks involve removing secrets from codebases,...

GitHub

train-fasttext

letta-ai

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...

GitHub

install-windows-311

letta-ai

Guidance for installing and running Windows 3.11 in QEMU with VNC access and web-based noVNC interface. This skill should be used when tasks involve setting up legacy Windows 3.11 environments, configuring QEMU...

GitHub

write-compressor

letta-ai

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 compre...

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.