Browse Agents
Discover production-ready AI agents across every category.
Discover production-ready AI agents across every category.
Set up Docker Desktop / Docker Engine, configure Compose, write a multi-stage Dockerfile for your stack, and verify with a runnable hello-world container.
Prepares candidates and hiring managers with role-specific interview questions, STAR-method answer frameworks, and evaluation rubrics.
Validates data consistency between a source database and a target database after ETL or migration — row counts, key matching, column-level diffs, and a detailed reconciliation report.
Builds data-driven content calendars, generates SEO-optimized outlines, and audits existing copy for keyword gaps and readability.
Guides you through building a VS Code extension from scratch — dev environment setup with Yeoman generator, extension type selection, VS Code API integration, and VS Code Marketplace publishing checklist.
Set up a complete Python machine learning and data science environment — Anaconda or venv, Jupyter, NumPy, Pandas, scikit-learn, PyTorch/TensorFlow, with optional CUDA GPU support.
Generates comprehensive Jest + React Testing Library unit tests for React and Next.js components, hooks, and utilities.
Expert code review agent that catches bugs, security issues, and style violations — with prioritized, actionable feedback.
Step-by-step guide to set up a local PySpark development environment — Python, Java JDK, Spark, Jupyter, and a verified hello-world job.
Set up a modern Node.js + TypeScript development environment — nvm, pnpm, tsconfig, ESLint, Prettier, Vitest, and a runnable starter project.
Designs thorough REST API test suites covering happy paths, edge cases, and error scenarios — exports Postman Collections and Newman scripts.
Compares two Excel files row-by-row and column-by-column, then generates a polished HTML executive report with mismatch tables, summary KPIs, and charts — ready for stakeholder presentation.
Guides you through setting up a Microsoft Edge extension development environment from scratch — Manifest V3, Edge-specific APIs, sidebar integration — with Edge Add-ons store submission checklist and cross-browser compatibility guidance.
Validates data before and after a database migration — row counts, checksums, schema mapping, sample spot-checks, and a migration sign-off report that satisfies stakeholder and audit requirements.
Generates SQL reconciliation scripts to compare query results across two databases or schemas — with tolerance-based numeric matching, exception drill-down queries, and a structured discrepancy report.
Set up a complete mobile development environment for React Native — Expo, Node, Android Studio (Android), Xcode (iOS), simulators, and a runnable starter app on device.
Turns your goals, tasks, and blockers into a structured daily/weekly plan using time-blocking, priority scoring, and deep-work scheduling.
Set up a modern Java development environment for Spring Boot — JDK (Temurin), SDKMAN, Maven/Gradle, IntelliJ/VS Code, and a runnable Spring Boot starter.
Audits whether all expected records are present in a target dataset — detecting missing entries by dimension, time period, or reference list — and produces a completeness scorecard with coverage percentages.
Designs and generates test cases for ETL transformation logic — mapping each business rule to input/expected-output pairs, then producing runnable Python or SQL tests to validate transformations before production load.
Set up a productive Linux development environment on Windows using WSL2 — Ubuntu, zsh + Oh My Zsh, Git, Node, Python, Docker integration, VS Code remote, and SSH keys.
Reconciles financial datasets — P&L, balance sheets, trial balances, and payment records — with configurable tolerance thresholds, break categorization, and a CFO-ready HTML executive summary report.
Scans a git repository to identify performance anti-patterns — N+1 queries, memory leaks, inefficient algorithms, blocking I/O, and unoptimized assets — then generates an executive-level HTML performance audit report.
Validates CSV and JSON data files against a defined schema — checking data types, required fields, value ranges, regex patterns, and referential integrity — and generates a structured validation error report.