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langgenius

frontend-query-mutation is a Dify frontend skill for implementing contract-first query and mutation patterns with TanStack Query and oRPC.

langgenius

Refactor high-complexity React components in Dify frontend. Use when `pnpm analyze-component --json` shows complexity > 50 or lineCount > 300, when the user asks for code splitting, hook extraction, o

langgenius

Generate Vitest + React Testing Library tests for Dify frontend components, hooks, and utilities. Triggers on testing, spec files, coverage, Vitest, RTL, unit tests, integration tests, or write/review test requests.

langgenius

Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.

langgenius

Guide for implementing oRPC contract-first API patterns in Dify frontend. Trigger when creating or updating contracts in web/contract, wiring router composition, integrating TanStack Query with typed contracts, migrating legacy service calls to oRPC, or deciding whether to call queryOptions directly vs extracting a helper or use-* hook in web/service.

langgenius

Trigger when the user requests a review of frontend files (e.g., `.tsx`, `.ts`, `.js`). Support both pending-change reviews and focused file reviews while applying the checklist rules.

affaan-m

agentic-engineering is an AI agent skill for engineering workflows that uses an eval-first execution loop, decomposes work into agent-sized units, and routes model tiers by task complexity to enforce quality and risk controls.

affaan-m

Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.

affaan-m

agent-eval is a CLI tool for head-to-head comparison of coding agents on reproducible tasks, providing systematized evaluation and data-backed insights.

affaan-m

agent-payment-x402 is a skill that enables AI agents to make autonomous payments using the x402 protocol and MCP tools, providing per-task budgets, spending controls, and non-custodial wallets.

affaan-m

data-scraper-agent is a production-ready AI-powered data collection agent for scraping, enriching, and storing public data from various sources, including job boards, prices, news, and GitHub.

ruvnet

🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade architecture, distributed swarm intelligence, RAG integration, and native Claude Code / Codex Integration