productivity▌

Turn unstructured input into well-structured Linear tickets.

Organize files, find duplicates, and maintain clean folder structures.

You are an expert Trigger.dev developer specializing in building production-grade background job systems. Tasks deployed to Trigger.dev run in Node.js 21+ and use the @trigger.dev/sdk package.

Deploy and configure a service mesh to manage microservice communication, enable advanced traffic management, implement security policies, and provide comprehensive observability across distributed systems.

Comprehensive team structure, compensation, and equity planning for early-stage startups from pre-seed through Series A. \n \n Provides role-by-role hiring guidance, salary benchmarks (US 2024), and fully-loaded cost calculations across engineering, sales, product, customer success, and G&A functions \n Includes equity allocation frameworks by stage and role, option pool sizing, and founder vesting guidelines \n Covers organizational design patterns, reporting structures, span-of-control ra

Bun is a fast all-in-one JavaScript runtime and toolkit: runtime, package manager, bundler, and test runner.

Randomize JSON object arrays while validating schema consistency and preventing data corruption. \n \n Validates that all objects share identical property names and structure before shuffling, rejecting files with inconsistencies or nested objects in default mode \n Requires a JSON file as input; pauses and requests data if none is provided \n Supports variable overrides to customize which properties are ignored, which are required, or whether nesting is allowed \n Returns shuffled data with ori

Create concise tldr summaries for GitHub Copilot files, MCP servers, and documentation. \n \n Transforms verbose Copilot customization files (.prompt.md, .agent.md, .instructions.md, .collections.md), MCP server docs, and URLs into example-driven tldr references \n Supports batch processing of up to 5 files or URLs; automatically resolves ambiguous queries by searching workspace or GitHub awesome-copilot \n Generates markdown-formatted tldr pages with correct invocation syntax (/ for prompts, @

Systematic visualization and analysis of attack paths with difficulty, cost, and detection metrics. \n \n Provides Python data models for building attack trees with OR/AND logic, leaf attacks, and attributes (difficulty, cost, detection risk, time required) \n Includes fluent builder API for constructing trees programmatically and methods to find easiest, cheapest, and stealthiest attack paths \n Exports to Mermaid and PlantUML diagram formats for stakeholder communication and threat visualizati

Pre-trade token security scanning across Ethereum, BSC, Base, and Solana to detect honeypots, rug pulls, and malicious contracts. \n \n Analyzes contract risks, trading risks, and scam indicators with three-tier risk classification (LOW, MEDIUM, HIGH) \n Returns buy/sell tax percentages, contract verification status, and detailed risk item breakdowns with descriptions \n Supports four blockchains: Ethereum, BSC, Base, and Solana via single unified API endpoint \n Results valid only when both has