backend-dev
Python backend development for CTF-AI. Use when working on game engine, player logic, pathfinding, WebSocket server, or any backend Python code.
আপনার এজেন্টের জন্য উপযুক্ত সক্ষমতা খুঁজে নিন।
Python backend development for CTF-AI. Use when working on game engine, player logic, pathfinding, WebSocket server, or any backend Python code.
Use when you need validation, analysis, or research from multiple AI agents before implementing. Gathers perspectives from Gemini and Codex, synthesizes feedback.
A conceptual skill for implementing CRUD features driven by Spec-Kit and Claude Code
This skill should be used when the user asks about "build action", "create action", "execute block", "input_fields", "output_fields", "streaming action", "multistep action", "config_fields", "wait for resume", or needs to implement actions for a Workato custom connector.
CLI tool for AI agents to browse the web, interact with UI elements, and analyze frontend applications. Supports navigation, clicking, typing, and capturing snapshots for accessibility analysis.
Automatically applies when securing AI/LLM applications. Ensures prompt injection detection, PII redaction for AI contexts, output filtering, content moderation, and secure prompt handling.
AI-powered enterprise MCP (Model Context Protocol) server development orchestrator with Context7 integration, intelligent code generation, automated architecture design, and enterprise-grade server deployment patterns for advanced LLM service integration
Enhanced Just-In-Time document loading system that intelligently discovers, loads, and caches relevant documentation based on user intent and project context. Use when users need specific...
Write Ruby and Rails code in DHH's distinctive 37signals style. Use this skill when writing Ruby code, Rails applications, creating models, controllers, or any Ruby file. Triggers on Ruby/Rails code generation, refactoring requests, code review, or when the user mentions DHH, 37signals, Basecamp, HEY, or Campfire style. Embodies REST purity, fat models, thin controllers, Current attributes, Hotwire patterns, and the "clarity over cleverness" philosophy.
Embedding/vector caching for AI cost optimization
Patterns for building AI-powered chatbot backends using OpenAI Agents SDK with MCP (Model Context Protocol) server integration in FastAPI applications. Supports both standalone MCP servers and function tools.
Collaborative thinking partner for brainstorming, development discussion, and exploring ideas using PAL MCP. Use when you need a second opinion, want to brainstorm, or need help thinking through a problem. Triggers on brainstorming requests, discussion needs, or when exploring ideas.
Find and install skills from SkillsMP marketplace (skillsmp.com). Use when users want to discover new skills, search for capabilities, or install skills from the marketplace. Supports keyword search and AI semantic search across 63,000+ agent skills.
Interface for managing the Temporal Database and AI system (ReDB + GGUF embeddings).
Create and refine Agent Skills following the agentskills.io specification. Use when user asks to write a skill, create a skill, or build automation workflows for AI agents.
Comprehensive guide to improving RAG retrieval quality including chunking strategies, embedding optimization, reranking, and hybrid search
Cross-domain reasoning for novel problems through structured analogy. Use when facing unprecedented problems where the best approach is finding similar solved problems in other domains. Unlike BoT (explores options), AT finds parallels. Example: "Design a new marketplace" → What can we learn from malls, stock exchanges, auctions, dating apps?