Browsing:

affaan-m

No description available

affaan-m

fal-ai-media is a unified media generation skill, creating images, videos, and audio using fal.ai models and MCP.

affaan-m

flutter-dart-code-review is a library-agnostic Flutter/Dart code review checklist, covering widget best practices, state management patterns, and performance optimization.

landim32

GitHub News Auto Update

victoriacity

Autonomous Knowledge Acquisition and Reasearch Intelligence

bankielewicz

managing-finances is a spec-driven development framework for financial planning, utilizing 26+ specialized subagents and enforcing zero technical debt from ideation to release.

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

nanoclaw-repl is a zero-dependency, session-aware REPL built on Claude for operating and extending the NanoClaw v2 AI agent. It features persistent markdown-backed sessions, dynamic skill loading, session branching, history compaction, and export capabilities to MD, JSON, and TXT formats.

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

C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.