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Skills IA Vie quotidienne

Découvrez les skills Vie quotidienne, comparez leurs dépôts et consultez leurs instructions.

Catégories: Vie quotidienne

76,489–76,512 sur 84,979

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Explorer

GitHub

pso

alexAlchemy

Project Support Officer - Interface to the organization's project management system. Manages project list (project-list.csv), activity logs (project-activity-logs.csv), and project artifacts in org/projects/. U...

GitHub

business-context

alexAlchemy

Access shared business context including company identity, mission, org chart, staff directory, and policies. Use this when an agent needs to understand the business they work for, organizational structure, who...

GitHub

bandit-security-scan

visgwu

Run Bandit security analysis to find common security issues and vulnerabilities in Python code. Use when the user mentions Bandit, security analysis, vulnerability scanning, security audit, software composition...

GitHub

sonarqube-scan

visgwu

Run SonarQube/SonarCloud static code analysis to check code quality, detect security vulnerabilities, code smells, and bugs. Use when the user mentions SonarQube, code quality analysis, security scanning, stati...

GitHub

authoring-skills

Git-Fg

MUST BE USED when creating, improving, or reviewing Skills. Use PROACTIVELY when user mentions "create a skill", "new skill", "write a skill", "improve skill", "skill description", or "progressive disclosure"....

GitHub

cursor-explorer-mcp

sepiabrown

Use for token-expensive operations requiring multi-file analysis - codebase exploration, broad searches, architecture understanding, tracing flows, finding implementations across files. Uses MCP cursor-agent se...

GitHub

checking-dependabot-prs

ysmazda

DependabotのPRをレビューの必要度の観点で検証する。「DependabotのPRを確認して」「Dependabotの更新は安全?」などの依頼時に使用する。

GitHub

code-explainer

gonsoomoon-ml

Explains code in simple terms with visual diagrams. Use when the user asks to explain code, understand how something works, or wants a code walkthrough.

GitHub

test-runner

gonsoomoon-ml

Runs tests and explains results. Use when user asks to run tests, check tests, or verify code works.

GitHub

telegram

PytaichukBohdan

This skill should be used when fetching, searching, downloading, or sending messages on Telegram. Use for queries like "show my Telegram messages", "search Telegram for...", "get unread messages", "send a messa...

GitHub

unity-bootstrap

nolainjin

Bootstrap a new Unity project for a 2D management/simulation game. Use when you need to create the Unity project, choose URP/UI approach, set up folder structure, gitignore, packages (Input System/TextMeshPro),...

GitHub

unity-migration

nolainjin

Migrate a browser-based JavaScript/Canvas game to Unity (C#). Use for Shelter 2250 (or similar) when you need: (1) Unity project setup decisions (2D/URP/input/UI), (2) mapping existing JS classes/systems to Uni...

GitHub

project-architecture-patterns

roeimed0

Architecture patterns for rRNA-Phylo project including FastAPI backend design, service organization, async task processing with Celery, Pydantic schemas, testing with pytest, Biopython integration, and API desi...

GitHub

ml-tree-level4

roeimed0

Advanced Maximum Likelihood phylogenetics with model selection (AIC/BIC), tree search algorithms (NNI/SPR/TBR), and performance optimization (Numba/GPU)

GitHub

ml-integration-patterns

roeimed0

Machine learning integration patterns for rRNA-Phylo covering three use cases - rRNA sequence classification (supervised learning with sklearn/PyTorch), multi-tree consensus (ensemble methods), and generative t...

GitHub

tree-visualization

roeimed0

Comprehensive guide to phylogenetic tree visualization including matplotlib (Python), ggtree (R), and publication-quality figure generation. Covers rectangular, circular, radial layouts, bootstrap annotations,...

GitHub

rrna-prediction-patterns

roeimed0

Guidelines for rRNA detection and prediction including prokaryotic (16S, 23S, 5S) and eukaryotic (18S, 28S, 5.8S, 5S) ribosomal RNA. Covers sequence patterns, secondary structure, HMM models, blast-based detect...

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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