আপনার এজেন্টের জন্য উপযুক্ত সক্ষমতা খুঁজে নিন।
Google ADK (Agent Development Kit) architecture and core concepts. Covers agent types (LLM, Sequential, Parallel, Loop, Multi-agent), tool ecosystem, execution flows, deployment options, and observability. Model-agnostic framework for production AI agents. Use when understanding ADK architecture, selecting agent patterns, designing agent systems, or deploying to Vertex AI.
Handle comprehensive project language and user setup workflows including language selection, agent prompt configuration, user profiles, team settings, and domain selection
Identifies missing capabilities that warrant new skills. Analyzes repeated friction patterns, failed tasks, and user workarounds to recommend skill creation. Use when discovering-skills finds nothing suitable.
Adaptive communication patterns and role selection based on user expertise level and request type (Consolidated from moai-alfred-persona-roles)
Design multi-agent AI systems including orchestration patterns, tool design, memory management, and error handling for autonomous agents.
Use when creating, designing, or building Claude Code skills. Auto-activates for "create a skill", "build a skill", "skill for X", or "make this into a skill". Provides complete 6-step creation protocol, embedded Anthropic documentation, working examples, and templates. Never need to fetch external docs again.
World-class prompt engineering skill for LLM optimization, prompt patterns, structured outputs, and AI product development. Expertise in Claude, GPT-4, prompt design patterns, few-shot learning, chain-of-thought, and AI evaluation. Includes RAG optimization, agent design, and LLM system architecture. Use when building AI products, optimizing LLM performance, designing agentic systems, or implementing advanced prompting techniques.
Fast LLM inference with Groq API - chat, vision, audio STT/TTS, tool use. Use when: groq, fast inference, low latency, whisper, PlayAI TTS, Llama, vision API, tool calling, voice agents, real-time AI.
Real-time sentiment analysis on Twitter/X using Grok. Use when analyzing social sentiment, tracking market mood, or measuring public opinion on topics.
Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.
Main orchestration loop for autonomous coding. Use when running autonomous sessions, orchestrating feature completion, managing continuous loops, or coordinating agent lifecycle.
Retrieve project-specific insights from file-based memory. Use when working on features, encountering domain-specific questions, or user says "--project-recall" or "--recall" (you decide which scope, may use both). Skip for routine tasks or universal pattern questions (use coder-memory-recall). MUST be invoked using Task tool to avoid polluting main context.
Run Glif workflows via API. Use when executing AI image/text generation workflows or integrating Glif into apps.
Maintains project context and progress tracking across Claude sessions. Use at session start to load context, on session end to save progress. Triggers: "load project context", "save context", "end session", "what was I working on", "switch to [project]", "done for today". Works in both Claude Code and Claude Desktop.
Automatically triggers when users ask about upgrading, updating, or checking versions of Oh My Opencode or other development tools. Use for version checks, upgrade procedures, maintenance recommendations, and keeping development tools current.
Comprehensive security risk analysis for Claude skills. Use when asked to analyze security risks, review security stance, audit skills for vulnerabilities, check security before deployment, or evaluate safety of skill files. Triggers include "analyze security," "security risks," "security audit," "security review," "is this skill safe," or "check for vulnerabilities."
Testing patterns for Vercel AI SDK including mock providers, streaming tests, tool calling tests, snapshot testing, and test coverage strategies. Use when implementing tests, creating test suites, mocking AI providers, or when user mentions testing, mocks, test coverage, AI testing, streaming tests, or tool testing.
Canonical Claude Code skill authoring kit covering agent Skills, sub-agent templates, custom slash commands, orchestration patterns, hooks, memory, settings, and IAM permission rules aligned with official documentation.
AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.
