Data & AI

A guide for relational database schema design best practices. Use this skill when a user wants to design a new database schema, understand best practices, create an ERD, write DDL scripts, or develop an indexing or schema evolution strategy.

Use to review OpenAI API integrations for correctness (endpoints, params, auth, response handling) and robustness.

This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.

Connect to and interact with Azure Blob Storage (ADLS Gen2). Use when working with Azure blob storage, listing containers, reading files, uploading data, or when user mentions Azure storage, blob containers, or ADLS. Handles authentication, container operations, and blob management.

Unified Twitter/X API client for retrieving user info and tweets via twitterapi.io. Supports user lookup and advanced tweet search with a clean Typer-based CLI and agent-friendly Python interface.

Do experiment-driven research (hypotheses → minimal repros → evidence) and continuously improve research skills + tooling. Use when behavior is uncertain, contested, or performance-sensitive.

Use this skill when evaluating portfolio risk, checking position sizes, assessing market volatility, or performing risk management checks before trade execution. Based on TradingAgents risk management framework with conservative/aggressive/neutral debate system.

Create beautiful, accessible user interfaces with shadcn/ui components (built on Radix UI + Tailwind), Tailwind CSS utility-first styling, and canvas-based visual designs. Use when building user interfaces, implementing design systems, creating responsive layouts, adding accessible components (dialogs, dropdowns, forms, tables), customizing themes and colors, implementing dark mode, generating visual designs and posters, or establishing consistent styling patterns across applications.

Guide d'installation Astro + Tailwind sur Windows. Covers Node.js setup, pnpm, project creation, common Windows issues, and troubleshooting.

PROACTIVELY use when exploring unfamiliar codebases, analyzing remote repositories, generating reference skills from code, or needing AI-optimized context for code review. Triggers on "analyze repo", "explore codebase", "pack repository", "generate skill from", "understand this codebase", "code context".

This skill should be used when producing an explicit, unambiguous spec for a coding task. Use when the orchestrator invokes phase 1 (design) or when detailed specification is needed before implementation.

Follow project-wide development conventions for file organization, version control, documentation, and dependency management. Use this skill when organizing project directories and files, writing README documentation, creating commit messages, working with git branches, managing pull requests, configuring environment variables, handling secrets and API keys, managing project dependencies, setting up feature flags, maintaining changelogs, defining testing requirements, establishing code review processes, or structuring the overall project architecture. Apply this skill when setting up new projects, refactoring project structure, working with version control, managing configuration files, or ensuring the project follows consistent organizational patterns and best practices.

Supervised/unsupervised learning, model selection, evaluation, and scikit-learn. Use for building classification, regression, or clustering models.

Help users deploy their portfolio to production. Covers Vercel, Netlify, Cloudflare Pages, GitHub Pages, Docker, and MCP integration for AI-driven deployment.

Guide for designing Definition resources in OptAIC (the "Law"). Use when creating PipelineDef, StoreDef, AccessorDef, OpDef, MLModuleDef, or PortfolioOptimizerDef. Covers interface_spec, input/output schemas, compatibility rules, and embedded guardrail contracts.

HTMLCSStoImage API via curl. Use this skill to generate images from HTML/CSS or capture screenshots of web pages.

Execute GraphQL queries against Sonar ISP API.Use when querying customer data, services, billing, invoices, payments, tickets, jobs, or network info from Sonar.Supports live mode via fetch_customer_live(). Reference: src/apis/sonar_client.py

Generate technical articles and documentation using AI. Use for writing blog posts, documentation, and technical content.

Docker management via MCP protocol. Use when the user wants to interact with Docker on their system - listing containers, images, managing container lifecycle (start/stop/restart), viewing logs, executing commands in containers, pulling images, running new containers, or working with docker-compose files.

Deep methodology knowledge for MAIC including assumptions, weight diagnostics, ESS interpretation, and anchored vs unanchored decisions. Use when conducting or reviewing MAIC analyses.