when-gathering-requirements-use-interactive-planner
Use Claude Code's AskUserQuestion tool to gather comprehensive requirements through structured multi-select questions.
Essential command-line tools and system utilities.
Use Claude Code's AskUserQuestion tool to gather comprehensive requirements through structured multi-select questions.
Sequential subagent execution with two-stage review gates for implementation plans. Use when executing multi-task plans in current session, when tasks need fresh subagent context to avoid pollution, when formal review cycles (spec compliance then code quality) are required between tasks, or when you need diff-based validation of each task before proceeding.
Comprehensive research skill using Exa AI tools for web search and code context retrieval. Use when conducting research on technologies, finding code examples, discovering latest tools, or gathering comprehensive information on any topic. Combines web search for articles/news with code search for implementation examples.
Guide for creating production-grade ChatKit chatbots that integrate OpenAI Agents SDK with MCP tools and custom backends. Use when building AI-powered chatbots with specialized capabilities, real-time task execution, and user isolation for any application.
Send and receive messages between AI agents using AI Maestro's messaging system. Use this skill when the user asks to "send a message", "check inbox", "read messages", "notify [agent]", "tell [agent]", or any inter-agent communication.
Multi-agent development workflow system. Load when orchestrating development tasks, spawning subagents, or managing workflow phases.
Expert at creating and modifying Claude Code skills. Auto-invokes when the user wants to create, update, modify, enhance, validate, or standardize skills, or when modifying skill YAML frontmatter fields (especially 'allowed-tools', 'description'), needs help designing skill architecture, or wants to understand when to use skills vs agents. Also auto-invokes proactively when Claude is about to write skill files (*/skills/*/SKILL.md), create skill directory structures, or implement tasks that involve creating skill components.
Guide users through creating Agent Skills for Claude Code. Use when the user wants to create, write, author, or design a new Skill, or needs help with SKILL.md files, frontmatter, or skill structure.
Recommend the right agents and skills for any task. Covers both heavyweight agents (Task tool) and lightweight skills (Skill tool). Triggers on: which agent, which skill, what tool should I use, help me choose, recommend agent, find the right tool.
Add a new tool to the backend OpenAI function calling system. Use when user mentions "new tool", "add tool", "backend function", "agent capability", or wants to extend what the AI agent can do.
Use this skill when the user asks to save, remember, recall, or organize memories. Triggers on: 'remember this', 'save this', 'note this', 'what did we discuss about...', 'check your notes', 'clean up memories'. Also use proactively when discovering valuable findings worth preserving.
Navigate hierarchical ai-docs indexes to find documentation. Check local docs FIRST for speed and curated context before web searching. Covers Claude Code, BAML, MCP, and other tracked libraries.
Automate Google NotebookLM - create notebooks, add sources, generate podcasts/videos/quizzes, download artifacts. Activates on explicit /notebooklm or intent like "create a podcast about X"
Automate cross-system summarization workflow for Chronicle sessions. Export sessions from remote systems (like FreeBSD) and import/summarize on local machine with Gemini API. Use when you have sessions on a system without Gemini API access and need to summarize them on another machine.
This skill should be used when creating custom subagents for Claude Code, configuring specialized AI assistants, or when the user asks about agent creation, agent configuration, or delegating tasks to subagents. Covers both file-based agents and Task tool invocation.
Maven build system, dependency management, and Java project configuration assistance.
Generic Cloud-Native Deployment and Infrastructure as Code patterns for 2025. Provides comprehensive implementation strategies for multi-cloud deployments, GitOps workflows, progressive delivery, and platform engineering. Framework-agnostic approach supporting any cloud provider, deployment tool, and orchestration platform.
AI-assisted pair programming with multiple modes (driver/navigator/switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD, debugging, refactoring, and learning sessions. Features automatic role switching, continuous code review, security scanning, and performance optimization with truth-score verification.
Generic AIOps (AI for IT Operations) patterns and best practices for 2025. Provides comprehensive implementation strategies for intelligent monitoring, automation, incident response, and observability across any infrastructure. Framework-agnostic approach supporting multiple monitoring platforms, cloud providers, and automation tools.
Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration. Coordinates repo-architect, code-analyzer, and coordinator agents across multiple repositories to maintain consistency, propagate changes, manage dependencies, and ensure architectural alignment. Handles monorepo-to-multi-repo migrations, cross-repo refactoring, and synchronized releases. Use when managing microservices, multi-package ecosystems, or coordinating changes across related repositories.
Automated code refactoring suggestions and implementation.
Orchestrates Pukaist agents, enforces plan-first workflow, runs integrity tests, and delegates tasks; use for coordination or system audits.
Systematic error diagnosis and resolution using first-principle analysis. Use when encountering any error message, stack trace, or unexpected behavior. Supports replay functionality to record and reuse solutions.
Per-call and aggregated latency tracking for MEV infrastructure. Use when implementing performance monitoring or debugging slow operations. Triggers on: latency, timing, performance, slow, speed, instrumentation.