Results for “e-e-a-t”

Codebase-wide Retrieval-Augmented Generation for deep code understanding. Use when: (1) Answering questions about large codebases by searching across all files, (2) Finding related code patterns, implementations, or dependencies across a project, (3) Building context from multiple files before making changes, (4) Understanding how a feature works end-to-end across the codebase, (5) Tracing data flow through multiple modules

Deploys and monitors ransomware canary files across critical directories using Python's watchdog library for real-time filesystem event detection, triggering alerts via email, Slack, or syslog when decoy files are accessed.

Builds a Power × Interest stakeholder map and generates a communication plan per quadrant. Use when managing a complex launch, aligning cross-functional teams, or preparing stakeholder engagement strategy. Triggers on: stakeholder management, stakeholder map, stakeholder alignment, communication plan, power interest grid, cross-functional alignment, executive alignment, managing up.

Build interactive animations with Rive — load .riv files, control state machines, respond to user input, and embed runtime animations in web and mobile apps. Use when tasks involve interactive UI animations, character animations with state logic, animated icons with hover/click states, or game-like interactions in production apps.

Plan and execute multi-channel marketing campaigns from audience research through positioning, copywriting, and review. Orchestrates landing pages, email sequences, social posts, video scripts, ad copy, and content calendars for product launches.

The learner teaches the concept to the AI, which plays a curious novice peer and identifies gaps through authentic questions. Use when the learner wants to test their understanding — teaching forces a different kind of organisation than studying.

Discover, select, and run Holoscan Sensor Bridge example applications on a connected devkit over SSH, filtering by platform, board type, and sensors.

Migrate Java code from javax.* to jakarta.* namespace when upgrading to Tomcat 11, Jakarta EE 10, or when javax imports are detected.

Performs independent-sample t-tests in R on numeric variables between subgroups within each main group, using user-specified column names and outputting statistical results.

Enforces an opinionated UI baseline to fix spacing, hierarchy, typography, and layout issues in AI-generated interfaces.

Runs five parallel review agents on code changes, validates findings, triages them, and applies approved fixes after confirmation.

Provides React state management patterns and code examples for useState, Context, Zustand, Redux Toolkit, and TanStack Query.

Builds and debugs Shopify themes, develops custom Shopify apps, and implements Storefront API integrations for headless storefronts.

Write clear, plain prose and strip register-jargon from text, using a costume-or-term-of-art test to preserve genuine technical terms.

Create and open a new desk in the workshop. Sets up the folder structure, initial journal, and desk identity so the next session that sits down finds the trail.

Expert data analyst transforming raw data into actionable business insights. Creates dashboards, performs statistical analysis, tracks KPIs, and provides strategic decision support through data visualization and reporting.

Close out a work session safely. Verifies every change is committed, pushed, and green, confirms the work is live and verified, updates the notes for next time, and hands back a summary with links and a rollback path. Trigger on "close out the session", "wrap up", "lock it up", "are we good to close", "session QA", "end of session", or any moment before you stop or hand off.

Automate Brex financial operations through Composio's Brex toolkit via Rube MCP, including tool discovery, connection management, and execution.

Automate Fitbit operations through Composio's Fitbit toolkit via Rube MCP, including tool discovery, connection management, and tool execution.

Automate BunnyCDN operations through Composio's BunnyCDN toolkit via Rube MCP, including tool discovery, connection management, and execution.

Automate Flowiseai operations through Composio's Flowiseai toolkit via Rube MCP, including tool discovery, connection management, and execution.

Automate Repairshopr operations through Composio's toolkit via Rube MCP, including tool discovery, connection management, and execution.

Automate Contentful GraphQL operations through Composio's Rube MCP toolkit, including tool discovery, connection management, and execution.

Control browsers via a CLI tool that runs sandboxed JavaScript scripts for automation, testing, and data extraction.

Resolves legacy references to the refactor-cleaner capability by routing to the current runtime equivalent, such as an agent or modern skill.

Reference for the Paddle billing API covering products, prices, transactions, customers, and subscriptions with request and response examples.

Fast-forward through OpenSpec artifact creation. Use when the user wants to quickly create all artifacts needed for implementation without stepping through each one individually.

Track ML experiments with automatic logging, visualize training in real-time, optimize hyperparameters with sweeps, and manage model registry with W&B - collaborative MLOps platform

Fast-forward through OpenSpec artifact creation. Use when the user wants to quickly create all artifacts needed for implementation without stepping through each one individually.

Configure MCP servers in .claude/.mcp.json with examples for memory, filesystem, search, and browser automation, plus environment variable handling and validation rules.

Detect and exploit Server-Side Request Forgery vulnerabilities by identifying user-controlled URL parameters, testing for internal service access, cloud metadata endpoints, and file scheme reads, with bypass techniques for common filters.

Fast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory. Lazy evaluation, parallel execution, Apache Arrow backend. Best for 1-100GB datasets, ETL pipelines, faster pandas replacement. For larger-than-RAM data use dask or vaex.

Fast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory. Lazy evaluation, parallel execution, Apache Arrow backend. Best for 1-100GB datasets, ETL pipelines, faster pandas replacement. For larger-than-RAM data use dask or vaex.

Fast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory. Lazy evaluation, parallel execution, Apache Arrow backend. Best for 1-100GB datasets, ETL pipelines, faster pandas replacement. For larger-than-RAM data use dask or vaex.

Fast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory. Lazy evaluation, parallel execution, Apache Arrow backend. Best for 1-100GB datasets, ETL pipelines, faster pandas replacement. For larger-than-RAM data use dask or vaex.

Fast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory. Lazy evaluation, parallel execution, Apache Arrow backend. Best for 1-100GB datasets, ETL pipelines, faster pandas replacement. For larger-than-RAM data use dask or vaex.