GitHub
analyzing-data
Performs comprehensive data analysis including statistical analysis, visualization, pattern detection, and report generation. Use when the user asks to analyze data, find patterns, generate insights, create vis...
Skills IA Données et IA
Découvrez les skills Données et IA, comparez leurs dépôts et consultez leurs instructions.
Catégories: Données et IA
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GitHub
database-integration
Database integration patterns for SQL and NoSQL databases. Use when working with database schemas, queries, migrations, or ORM configurations. Supports PostgreSQL, BigQuery, MongoDB, MySQL with progressive disc...
GitHub
analyzing-tam
Calculates Total Addressable Market (TAM), Serviceable Addressable Market (SAM), and Serviceable Obtainable Market (SOM) using multiple methodologies including top-down, bottom-up, and value theory approaches....
GitHub
analyzing-customers
Analyzes customer behavior, needs, pain points, and sentiment through review mining, social listening, buyer persona development, and jobs-to-be-done framework. Use when the user requests customer analysis, voi...
GitHub
tech-ecosystem-analyzer
This skill should be used when users request comprehensive analysis of technology ecosystems, comparing multiple libraries/frameworks/tools with quantitative metrics from GitHub and web research. Trigger words...
GitHub
agentdb-state-manager
Persistent state management using AgentDB (DuckDB) for workflow analytics and checkpoints. Provides read-only analytics cache synchronized from TODO_*.md files, enabling: - Complex dependency graph queries - H...
GitHub
database-schema-analyzer
Analyze PostgreSQL/Supabase database schemas for design quality, security, performance, and best practices. Use when reviewing schemas, migrations, RLS policies, or when user mentions database design, indexing,...
GitHub
design-schema
Design complete database schemas with tables, relationships, constraints, and indexes for Supabase. Triggers when user describes data models, entities, or requests schema design.
GitHub
sql-dao
SQL data access best practices for AIRBot reviewers
GitHub
backend-migrations
Create and manage database schema changes through versioned migration files with proper rollback support, zero-downtime deployment considerations, and backwards compatibility. Use this skill when creating migra...
GitHub
supabase-expert-skill
Complete workflow for implementing data services and database architecture after the Implementer Agent has completed use cases. Provides rigorous step-by-step processes for making data service tests pass throug...
GitHub
senior-data-engineer
World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data mode...
GitHub
backend-queries
Write secure, performant database queries using parameterized statements, proper indexing, eager loading, and transaction management to prevent SQL injection and N+1 query problems. Use this skill when writing...
GitHub
database
PostgreSQL VPS database expert. Manages database creation, Prisma schemas, migrations, seeding. Auto-activates on keywords "database", "postgresql", "prisma", "db", "sql" or when backend with data storage neede...
GitHub
dbt-model-writer
Writes, edits, and creates dbt models following best practices. Use when user needs to create new dbt SQL models, update existing models, or convert raw SQL to dbt format. Handles staging, intermediate, and mar...
GitHub
backtesting-analysis
Comprehensive guidance for interpreting backtest results and detecting overfitting (project)
GitHub
nvidia-nemo
NVIDIA NeMo framework for building and training conversational AI models. Use for NeMo Retriever models, RAG (Retrieval-Augmented Generation), embedding models, enterprise search, and multilingual retrieval sys...
GitHub
senior-prompt-engineer
World-class prompt engineering skill for LLM optimization, prompt patterns, structured outputs, and AI product development. Expertise in Claude, GPT-4, prompt design patterns, few-shot learning, chain-of-though...
GitHub
fullstack-ai-engineering
A comprehensive, long-horizon skill for designing, coding, debugging, and scaling AI-integrated systems — including Python backends, React frontends, RAG pipelines, vector databases, and tool orchestration. Ens...
GitHub
llm-rankings
Comprehensive LLM model evaluation and ranking system. Use when users ask to compare language models, find the best model for a specific task, understand model capabilities, get pricing information, or need hel...
GitHub
model-coordination
Use this skill when coordinating multiple AI models (Claude, GPT, Gemini, DeepSeek) for competitive trading analysis, running parallel model execution, aggregating decisions, or managing model performance track...
GitHub
nvidia-nim
NVIDIA NIM (NVIDIA Inference Microservices) for deploying and managing AI models. Use for NIM microservices, model inference, API integration, and building AI applications with NVIDIA's inference infrastructure...
GitHub
senior-computer-vision
World-class computer vision skill for image/video processing, object detection, segmentation, and visual AI systems. Expertise in PyTorch, OpenCV, YOLO, SAM, diffusion models, and vision transformers. Includes...
GitHub
trl
This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling trai...
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.