productivity▌

Best practices guide for writing efficient, type-safe GraphQL operations and organizing them with fragments. \n \n Covers queries, mutations, subscriptions, and fragments with naming conventions, variable syntax, and directive usage \n Emphasizes core principles: request only needed fields, name all operations, use variables instead of hardcoded values, and include id fields for cacheability \n Recommends colocating fragments with components and using @include / @skip directives for conditional

symfony:value-objects-and-dtos

Retrieve Uniswap router metadata, token lists, and pool snapshots via CLI commands. \n \n Four command categories: info (adapter overview), routers (by chain), tokens (by symbol or address), and pools (with fee and liquidity filtering) \n Supports Uniswap V3 (SwapRouter02) and V4 (Universal Router with Permit2) adapters across multiple chains \n Output formats include JSON, table, and spell (a params snapshot block for agent workflows) \n Pools can query via The Graph API or onchain factory look

Real-time crypto and financial news from 72+ sources with AI-generated impact scores and trading signals. \n \n Aggregates news, exchange listings, on-chain whale trades, meme sentiment, and market anomalies across 5 engine categories \n Includes major sources: Bloomberg, Reuters, Financial Times, CNBC, CoinDesk, Twitter/X, Binance, Coinbase, and 60+ others \n Search by keyword, coin symbol, engine type, or news source; filter for high-impact articles (score >= 80) and bilingual AI summaries \n

Push code to Railway with railway up , supporting detach and CI streaming modes. \n \n Two deployment modes: detach (default, returns immediately) and CI (streams build logs until complete) \n Always include a -m flag with a descriptive commit message summarizing the changes being deployed \n Supports targeting specific services and environments via --service and --environment flags, or deploying to unlinked projects with --project and --environment \n CLI automatically walks up the directory tr

Diagnose and resolve Buttercup CRS pod crashes, cascading failures, and service misbehavior on Kubernetes. \n \n Covers 20+ services across fuzzing, analysis, orchestration, and infrastructure layers; includes triage workflow, log analysis, resource pressure diagnosis, and Redis queue inspection \n Provides cascade-failure detection (e.g., Redis down triggering mass restarts), health-check file monitoring, and per-service failure patterns \n Supports OpenTelemetry/Signoz distributed tracing, vol

Fair, transparent random winner selection from lists, spreadsheets, or Google Sheets. \n \n Supports multiple data sources including CSV, Excel, Google Sheets, and plain text lists \n Cryptographically secure random selection with duplicate prevention, timestamps, and optional seed-based verification for third-party auditing \n Handles single or multiple winners, weighted probability based on entry counts, and runner-up selection \n Common workflows include social media giveaways, event raffles,

Deposit USDC to wallet via Coinbase Onramp or direct transfer. \n \n Opens a companion UI where users select preset amounts ($10, $20, $50) or custom values and choose from Apple Pay, debit card, bank transfer, or Coinbase account funding \n Supports multiple payment methods with varying settlement times: instant for card and Apple Pay, 1–3 days for ACH bank transfers \n Deposits funds as USDC on the Base network; alternatively, users can send USDC directly to the wallet address via npx awal@2.0

Build, run, and debug iOS apps on a booted simulator with UI interaction and log capture. \n \n Discovers booted simulators, sets session defaults (project path, scheme, simulator ID), and builds/runs the current iOS project via XcodeBuildMCP tools \n Provides UI inspection ( describe_ui , screenshot ), interaction commands ( tap , type_text , gesture ), and element targeting by ID, label, or coordinates \n Captures simulator logs and console output with start/stop controls; includes build failu

Independent code review from external LLMs (OpenAI Codex or Google Gemini CLI) on uncommitted changes, branch diffs, or specific commits. \n \n Supports two review engines: OpenAI Codex CLI (gpt-5.3-codex with structured JSON output) and Google Gemini CLI (gemini-3.1-pro-preview with code-review extension) \n Collects review scope (uncommitted, branch diff, or specific commit), optional project context file (CLAUDE.md or AGENTS.md), and focus area (general, security, performance, or error handli