আপনার এজেন্টের জন্য উপযুক্ত সক্ষমতা খুঁজে নিন।
Evaluation framework patterns for RAG and LLMs, including faithfulness metrics, synthetic dataset generation, and LLM-as-a-judge patterns. Triggers: ragas, deepeval, llm-eval, faithfulness, hallucination-check, synthetic-data.
Manage game lifecycle, player turns, round rotation, scoring, and game state transitions. Use when implementing game creation, turn management, score updates, and game completion flows in PictionAI.
Use when needing Claude bot review recommendations from PR - automatically waits for workflows (including Claude review) to complete, then extracts recommendations and returns concise summary without loading full review into context
CloudBase Run backend development rules (Function mode/Container mode). Use this skill when deploying backend services that require long connections, multi-language support, custom environments, or AI agent development.
Build AI chat applications with OpenAI ChatKit SDK. Use when creating chat UIs, multi-session systems, integrating AI agents (OpenAI, Gemini, Claude, Ollama), adding tools with MCP, widgets, or building conversational apps. Covers server setup, Store implementations, frontend integration (@openai/chatkit-react), function tools, MCP servers, multi-user sessions, and streaming responses.
Enterprise Mermaid diagramming skill for Claude Code using MCP Playwright
Cost optimization strategies for production AI pipelines in Clojure+Vertex AI. Covers multi-model routing (70% Gemini/20% Haiku/10% Sonnet), token optimization (prompt engineering, output constraints), aggressive caching (58% cost reduction), batch processing, and real-time monitoring. Includes production metrics showing $0.391 to $0.162 per pipeline (-58%). Use when optimizing production costs, implementing multi-model strategies, designing budget controls, or scaling to high volume.
Control interactive terminal processes via tmux - launch CLI applications, send input, capture output, wait for completion. This skill should be used when tasks require interactive debugging (pdb, node inspect), REPL exploration, long-running observable processes, or spawning another Claude instance for independent analysis or second opinions.
Generates ready-to-use Phase 0 (Project Setup) prompts for Claude Code. Use when initializing new TypeScript/Node.js projects, bootstrapping project structure, or creating the first phase of an implementation plan. Triggers include "create phase 0", "project setup prompt", "initialize typescript project", "bootstrap project", "init project".
Comprehensive research combining web search, quantum analysis, and persistent memory. Use when researching topics that need current information plus deep cognitive analysis.
Interview user in-depth about an epic, task, or spec file to extract complete implementation details. Use when user wants to flesh out a spec, refine requirements, or clarify a feature before building. Triggers on /flow-next:interview with Flow IDs (fn-1, fn-1.2) or file paths.
Agent orchestration patterns for the Pomodoro Time Tracker. Activates for multi-agent tasks, test failures, or complex implementations.
Review an existing Python RAG codebase against an explicit RAG architecture document and produce a production-readiness backlog with priorities, rationale, and execution guidance.
Specialized skill for ML training workflows on cloud GPUs. Fine-tune LLMs with LoRA/QLoRA, train image LoRAs, build classifiers, and run custom training jobs. Generates production-ready training pipelines with checkpointing, logging, and optimal GPU selection.
Create and configure custom subagents in Claude Code. Use when user asks to create a new subagent, needs specialized AI assistance with specific tool restrictions or permissions, implements task-specific workflows with isolated context, sets up domain-specific agents with custom prompts, or creates subagents with hooks or validation rules
Multi-LLM workflow patterns for complex reasoning tasks. Based on Anthropic's "Building Effective Agents" research. Use this skill when: (1) Tasks require multiple perspectives or approaches (2) Complex decisions need structured analysis (3) Problems benefit from decomposition into subtasks (4) Quality requires iterative refinement (5) Input needs routing to specialized handling Patterns: chain, parallel, route, orchestrator-workers, evaluator-optimizer
Perplexity Sonar API development with search-augmented generation, real-time web search, citations, and OpenAI-compatible Chat Completions. Use for AI-powered applications requiring up-to-date information, research assistants, and grounded responses with sources.
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.
Creates new Agent Skills for Claude Code following best practices and documentation. Use when the user wants to create a new skill, extend Claude's capabilities, or package domain expertise into a reusable skill.
Adversarial research validation using Red Team/Blue Team methodology. Use when researching complex topics, fact-checking claims, or producing research reports. Validates outputs through Gemini 3 Pro critic before presenting to user.
