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Skills IA Outils

Découvrez les skills Outils, comparez leurs dépôts et consultez leurs instructions.

Catégories: Outils

15,505–15,528 sur 87,268

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GitHub

mailman

letta-ai

Guidance for setting up mailing list servers with Postfix and Mailman3. This skill should be used when configuring email infrastructure, integrating Mailman3 with Postfix MTA, creating mailing lists, or trouble...

GitHub

chess-best-move

letta-ai

Guide for analyzing chess positions from images and determining optimal moves. This skill should be used when asked to find the best move, checkmate, or tactical solution from a chess board image. It provides s...

GitHub

tune-mjcf

letta-ai

Guidance for optimizing MuJoCo MJCF model files for simulation performance while maintaining numerical accuracy. This skill should be used when tuning physics simulation parameters, optimizing MuJoCo XML config...

GitHub

polyglot-c-py

letta-ai

This skill provides guidance for creating polyglot files that are valid in both C and Python. It should be used when tasks require writing code that compiles and runs correctly as both a C program and a Python...

GitHub

code-from-image

letta-ai

Extracting code or pseudocode from images using OCR, then interpreting and implementing it. This skill should be used when tasks involve reading code, pseudocode, or algorithms from image files (PNG, JPG, scree...

GitHub

mteb-retrieve

letta-ai

Guidance for text embedding retrieval tasks using sentence transformers or similar embedding models. This skill should be used when the task involves loading documents, encoding text with embedding models, comp...

GitHub

break-filter-js-from-html

letta-ai

This skill provides guidance for XSS filter bypass tasks where the goal is to craft HTML payloads that execute JavaScript despite sanitization filters. Use this skill when tasks involve bypassing HTML sanitizer...

GitHub

regex-chess

letta-ai

Guidance for implementing chess move generation using only regular expressions. This skill applies to tasks requiring encoding game logic (chess, board games) into regex patterns, or more generally "compile-to-...

GitHub

sam-cell-seg

letta-ai

This skill provides guidance for tasks involving MobileSAM or Segment Anything Model (SAM) for cell segmentation, mask refinement, and polygon extraction from images. Use when working with SAM-based image segme...

GitHub

qemu-startup

letta-ai

This skill provides guidance for starting QEMU virtual machines with proper serial console access, process management, and boot verification. It should be used when tasks involve launching QEMU VMs, configuring...

GitHub

modernize-scientific-stack

letta-ai

Guide for modernizing legacy Python 2 scientific computing code to Python 3 with modern libraries. This skill should be used when migrating scientific scripts involving data processing, numerical computation, o...

GitHub

filter-js-from-html

letta-ai

Guidance for removing JavaScript from HTML while preserving structure and formatting. This skill applies when filtering XSS vectors, sanitizing HTML content, removing script tags and event handlers, or building...

GitHub

regex-log

letta-ai

Guidance for constructing complex regular expressions that extract and validate data from log files. This skill applies when building regex patterns to parse log entries with requirements like IP address valida...

GitHub

password-recovery

letta-ai

Digital forensic skill for recovering passwords and sensitive data from disk images, deleted files, and binary data. This skill should be used when tasks involve extracting passwords from disk images, recoverin...

GitHub

regex-log

letta-ai

Guidance for extracting structured data from log files using regular expressions. This skill applies when parsing logs to extract dates, IP addresses, timestamps, or other structured patterns, especially when m...

GitHub

gpt2-codegolf

letta-ai

Guidance for implementing neural network inference (like GPT-2) under extreme code size constraints. This skill should be used when tasks require implementing ML model inference in minimal code (code golf), par...

GitHub

nextjs-saas

letta-ai

Use when building multi-tenant SaaS with Next.js App Router and Supabase. Covers project structure, proxy pattern for auth, component patterns, state management, and Row-Level Security.

GitHub

headless-terminal

letta-ai

This skill provides guidance for implementing headless terminal interfaces that programmatically control interactive shell sessions. Use this skill when tasks involve creating terminal emulators, implementing p...

GitHub

make-mips-interpreter

letta-ai

Guidance for building MIPS interpreters or emulators that execute MIPS binaries. This skill applies when implementing CPU emulation, ELF loaders, instruction decoders, or syscall handlers for MIPS architecture....

GitHub

bn-fit-modify

letta-ai

Guide for Bayesian Network tasks involving structure learning, parameter fitting, intervention, and sampling. This skill should be used when working with pgmpy or similar libraries to recover DAG structures fro...

GitHub

count-dataset-tokens

letta-ai

This skill provides guidance for counting tokens in datasets using specific tokenizers. It should be used when tasks involve tokenizing dataset content, filtering data by domain or category, and aggregating tok...

GitHub

openssl-selfsigned-cert

letta-ai

Guides the creation of self-signed SSL/TLS certificates using OpenSSL, including key generation, certificate creation, combined PEM files, and verification scripts. This skill should be used when tasks involve...

GitHub

sparql-university

letta-ai

Guidance for writing and verifying SPARQL queries against RDF datasets, particularly university/academic ontologies. This skill should be used when tasks involve querying RDF data with SPARQL, working with acad...

GitHub

torch-pipeline-parallelism

letta-ai

Guidance for implementing PyTorch pipeline parallelism for distributed model training. This skill should be used when tasks involve implementing pipeline parallelism, distributed training with model partitionin...

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.

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