problem-analysis
Invoke IMMEDIATELY via python script for structured problem analysis and decision reasoning. Do NOT explore first - the script orchestrates the workflow.
আপনার এজেন্টের জন্য উপযুক্ত সক্ষমতা খুঁজে নিন।
Invoke IMMEDIATELY via python script for structured problem analysis and decision reasoning. Do NOT explore first - the script orchestrates the workflow.
Invoke IMMEDIATELY via python script to stress-test decisions and reasoning. Do NOT analyze first - the script orchestrates the critique workflow.
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Deploy and manage Docker containers on Cloudflare's global network alongside Workers. Use when building applications that need to run Python code, process large files (multi-GB zips, video transcoding), execute CLI tools, run AI inference, create code sandboxes, or any workload requiring more memory/CPU than Workers provide. Triggers include requests to run containers, execute arbitrary code, process large files, deploy backend services in Python/Go/Rust, or integrate heavyweight compute with Workers.
Use when a non-developer user wants to create a new automation tool project. Sets up Python environment, project structure, and CLAUDE.md context file. Guides through environment setup → context gathering → structure initialization in user's preferred language.
Expert Claude Code engineer with deep knowledge of skills authoring, Agent SDK (TypeScript/Python), Claude API, prompt engineering, MCP servers, hooks, slash commands, and tool use. Use when creating skills, building agents, writing hooks, configuring MCP servers, or implementing Claude API integrations.
Expert FastAPI backend development for building high-performance REST APIs with Python. Use when building APIs, creating endpoints, implementing CRUD operations, integrating databases (SQL/NoSQL), adding validation, handling async operations, implementing middleware, dependency injection, background tasks, WebSockets, error handling, testing, or any FastAPI backend development task.
Read and analyze Inspect AI evaluation log files using the Python API. Extract samples, messages, events, and metrics from .eval files.
Build complete agent prompts deterministically via Python script. Use BEFORE spawning any BAZINGA agent (Developer, QA, Tech Lead, PM, etc.).
Review an existing Python RAG codebase against an explicit RAG architecture document and produce a production-readiness backlog with priorities, rationale, and execution guidance.
Expert backend development guidance covering Node.js, Python, Java, Go, API design (REST/GraphQL/gRPC), database patterns, authentication, caching, message queues, microservices, and testing. Produces production-ready, scalable, and secure backend code with industry best practices. Use when building APIs, implementing business logic, designing data models, integrating services, or when users mention backend development, server-side code, APIs, databases, or microservices.
Expert guidance for building conversational AI applications with Chainlit framework in Python. Use when (1) creating chat interfaces for LLM applications, (2) building apps with OpenAI, LangChain, LlamaIndex, or Mistral AI, (3) implementing streaming responses, (4) adding UI elements like images, files, charts, (5) handling user file uploads, (6) implementing authentication (OAuth, password), (7) creating multi-step workflows with visible steps, (8) building RAG applications with document upload, or (9) deploying chat apps to web, Slack, Discord, or Teams.
This skill should be used when the user asks to "create a FastAPI app", "add an API endpoint", "create a REST API", "implement authentication", "add OAuth2", "create Pydantic models", "add request validation", "implement dependency injection", "create API routers", "add middleware", "handle errors in FastAPI", "create background tasks", "add WebSocket endpoints", "implement CRUD operations", or mentions FastAPI, Pydantic, async Python APIs, or Starlette.
Build AI agents with the Claude Agent SDK (TypeScript/Python). Covers creating agents, custom tools, hooks, subagents, MCP integration, permissions, sessions, and deployment. Use when building, reviewing, debugging, or deploying SDK-based agents. Invoke PROACTIVELY when user mentions Agent SDK, claude-agent-sdk, ClaudeSDKClient, query(), or building autonomous agents.
Generate JSON schemas and Python handlers for Qdrant-based retrieval tools used by the RAG agent to search sitemap-crawled textbook content with URL citations.
Generate AI-friendly Python CLIs using Click, Pydantic, and uv. Use when user wants to create a new CLI tool that follows best practices for agentic coding environments.
Modern Python development with Python 3.12+, Django, FastAPI, async patterns, and production best practices. Use for Python projects, APIs, data processing, or automation scripts.