10 results for “data-science”
A full end-to-end Kaggle competition skill. Use this skill whenever a user mentions a Kaggle competition, ML contest, data science challenge, or competitive modeling event — even casually (e.g., "I joined a Kaggle competition", "help me with this ML challenge", "I want to climb the leaderboard"). This skill guides a solo competitor or team through every phase: competition intake, dataset access, exploratory data analysis, feature engineering, model development, ensembling, and final submission. Adapts to the user's proficiency level. Works in Claude Code, Claude.ai, and any coding agent that supports skills. Trigger this skill even when the user only mentions one phase (e.g., "help me with EDA for my Kaggle comp") — always load the full skill to understand context and jump in at the right phase.
Create, edit, and analyze PowerPoint slide decks. Use when the user asks to build presentations, modify existing PPTX files, generate slides from data, or extract content from slide decks.
Set up a data ingestion or sync pipeline — from source to destination, with transformation. Supports Airbyte, custom ETL scripts, and webhook-based ingestion. Use when the user says "sync data from X", "pull data into the DB", "set up a pipeline", or "ingest from API".
Generate and run realistic seed data for the project's database. Use when the user says "seed the database", "add some fake data", "I need test data", or the app looks empty during a demo.
Add a demo mode to the app that bypasses auth and loads mock data, so the app works flawlessly during a hackathon presentation without needing a real account or live backend. Use when the user says "set up demo mode", "make it work without login", or "I need it to look good for the judges".
Generate a structured mental model of an unfamiliar codebase — entry points, data flow, key abstractions, and gotchas. Use when starting on a new repo, when the user says "explain this codebase", "how does this work", "onboard me", or before making large changes to unfamiliar code.
Use TinyFish web agent to extract/scrape websites, extract data, and automate browser actions using natural language. Use when you need to extract/scrape data from websites, handle bot-protected sites, or automate web tasks.
Autonomous multi-source security intelligence agent. Scans GitHub PRs for vulnerabilities using cross-source context from Slack and codebase architecture. Finds risks that single-source scanners miss by correlating data across tools.
Generate a structured implementation plan before writing any code. Produces a spec with requirements, data model, API surface, edge cases, and open questions. Use when starting a non-trivial feature, when the user says "plan this out", or before any implementation that touches more than 2 files.
Sets up and operates Airbyte Agent Connectors — strongly typed Python packages for accessing 51+ third-party SaaS APIs through a unified entity-action interface. Supported services include Salesforce, HubSpot, Stripe, GitHub, Slack, Jira, Shopify, Zendesk, Google Ads, Notion, Linear, Intercom, Gong, and 36 more connectors spanning CRM, billing, payments, e-commerce, marketing, analytics, project management, helpdesk, developer tools, HR, and communication platforms. Make sure to use this skill when the user wants to connect to any SaaS API, install an airbyte-agent connector package, integrate third-party service data into a Python application or AI agent, query or search records from any supported service, or configure Airbyte MCP tools for Claude. Covers Platform Mode (Airbyte Cloud) and OSS Mode (local Python SDK).