আপনার এজেন্টের জন্য উপযুক্ত সক্ষমতা খুঁজে নিন।
This skill should be used when the user asks "what plugins are available", "list data science tools", "what MCP servers can I use", "enable code intelligence", or needs to discover available plugins like serena, context7, or data access skills like wrds and lseg-data.
Orchestrate multi-agent development workflows. Use when starting a new feature to coordinate architecture design, implementation, code review, and release through specialized sub-agents.
Find and evaluate AI tutorial videos for the curriculum. Use when searching for new videos, evaluating video quality, or updating the curriculum with better content.
Creates and configures Streamable HTTP Model Context Protocol (MCP) server connections for OpenAI Agents SDK
Expert guidance for building AI agents with Agno framework, including multi-agent systems, reasoning agents, tools integration, memory, knowledge, and production deployment
Coordinate all subagents in the Physical AI & Humanoid Robotics textbook project. Assign tasks, validate outputs, and track progress to determine eligibility for extra points and reusable intelligence.
Full-featured AI chatbot with Next.js 15, Auth.js, Drizzle ORM, and multi-model support.
Unified writing system with intelligent model routing. Default: Claude. Options: GLM-4.7 (cheapest), GPT-4o/mini, Gemini, Grok. Includes browser automation for web interfaces. Cost-aware routing based on task complexity.
Integrate xAI's Grok models for multi-model collaboration. Triggers on "Ask Grok", "What does Grok think", "Have Grok analyze", or similar phrases. Provides access to grok_query, grok_analyze_code, grok_reason, and grok_execute_code tools.
Google python-genai SDK for Gemini 3 Flash, Gemini 3 Pro, and Gemini models. Use when building with Google's Gemini API, google-genai, implementing thinking/reasoning, structured outputs, function calling, image generation, or multimodal. Triggers on "gemini", "google ai", "genai".
Automated code review for pull requests using multiple specialized agents with confidence-based scoring to filter false positives
Native Fabric pattern execution for Claude Code. USE WHEN processing content with Fabric patterns (extract_wisdom, summarize, analyze_claims, threat modeling, etc.). Patterns run natively in Claude's context - no CLI spawning needed. Only use fabric CLI for YouTube transcripts (-y) or pattern updates (-U).
This skill should be used when integrating OpenAI Agents SDK with FastAPI, building message arrays from database history, running agents with MCP tools, parsing tool calls, executing them, and saving conversations to the database.
PCE (Process-Context Engine) のアクティブコンテキスト構築スキル。タスクに最適化されたコンテキストをコンパイルし、プロセス駆動の投入物を生成する。 トリガー条件: - 新しいタスクを開始する時（「この機能を実装して」） - AIにコード生成を依頼する時 - 複雑な問題解決に着手する時 - 「コンテキストを整理して」 - 「必要な情報をまとめて」
Multi-agent debate orchestration for Architecture Decision Records. Automatically triggers on ADR create/edit/delete. Coordinates architect, critic, independent-thinker, security, analyst, and high-level-advisor agents in structured debate rounds until consensus.
Install Spice.ai OSS CLI and runtime. Use when asked to "install Spice", "set up Spice", or "get started with Spice".
Enterprise LLM Fine-Tuning with LoRA, QLoRA, and PEFT techniques
Coordinate Claude Code skills with OpenAI Codex autonomous workflows for end-to-end ATFT-GAT-FAN maintenance.
Checks book plots for inconsistencies in timelines, character actions, facts, and logic. Use this to review drafts or outlines for holes and suggest fixes.
Use this skill when delegating complex autonomous tasks to Manus AI - an AI agent that can browse the web, execute code, generate files, and comple...
