telegram-web
Enables Claude to send messages, manage chats, and handle Telegram communications through the web interface
Enables Claude to send messages, manage chats, and handle Telegram communications through the web interface
Automatically applies when building LLM applications. Ensures proper async patterns for LLM calls, streaming responses, token management, retry logic, and error handling.
Ralph Wiggum 自主循环模式。AI 持续执行任务直到全部完成,按用户确认的节奏汇报(默认整单完成后)。触发词:ralph、ralph-loop、/ralph-loop、自主循环、autonomous、直到完成、循环执行。
Primary intent classifier and entry point for all skill routing. Routes requests through the unified 7-router hierarchy based on intent analysis. Triggers on any task requiring specialized skills or delegation.
Run the full autonomy bootstrap with minimal questions.
Brief description of what this Skill does and when to use it. This field is critical for Claude to discover when to invoke your skill.
CRITICAL: Load and read ENTIRE skill content before ANY coding task. This skill defines orchestration rules and role-based delegation. DO NOT skip. DO NOT skim. Read the full SKILL.md content first. NEVER use built-in subagents - delegate via MCP roles defined in this skill. TRIGGERS: code, file, function, class, bug, error, fix, debug, refactor, implement, build, test, deploy, analyze, review, search, explore, find, plan, design, architecture, optimize, improve, migrate, security, performance
Generate and manage static audio files for Bob The Skull using ElevenLabs TTS. Use when creating greetings, startup messages, error responses, or test audio. Handles generation, naming, directory structure, and cross-repo syncing.
Build conversational AI agents using Pydantic AI + OpenRouter. Use when creating type-safe Python agents with tool calling, validation, and streaming.
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services.
Comprehensive strategies and patterns for maximizing Terminal-Bench 2.0 task completion. Contains battle-tested approaches from top-performing agents.
Anthropic의 Best Practice를 기반으로 고성능 프롬프트를 설계하고 최적화합니다.
NVIDIA NeMo framework for building and training conversational AI models. Use for NeMo Retriever models, RAG (Retrieval-Augmented Generation), embedding models, enterprise search, and multilingual retrieval systems.
Simple skill that prints a templated message with agf_id and prompt
Generate the complete RAG ingestion script to crawl textbook from sitemap.xml, chunk content, embed using Gemini, and push to Qdrant following MCP documentation.
Standardize AskUserQuestion patterns and provide reusable question templates for batch optimization
Ensures questions are answered literally before taking action. Triggers on user input containing '?' or patterns like 'why did you...?', 'will that work?', 'have you considered...?'. Use when user asks about your decisions, challenges an approach, or requests assessment. Prevents interpreting questions as implicit instructions or criticism.
Create and configure Claude Code hooks for customizing agent behavior. Use when the user wants to (1) create a new hook, (2) configure automatic formatting, logging, or notifications, (3) add file protection or custom permissions, (4) set up pre/post tool execution actions, or (5) asks about hook events like PreToolUse, PostToolUse, Notification, etc.