behavioral-modes
AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.
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AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.
Game development orchestrator. Routes to platform-specific skills based on project needs.
AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.
Build production-ready Model Context Protocol (MCP) servers using the official MCP SDK. Scaffold, configure, secure, and deploy MCP servers with best practices for security, monitoring, and reliability. Use for...
Create hierarchical project plans optimized for solo agentic development. Use when planning projects, phases, or tasks that the AI agent will execute. Produces agent-executable plans with verification criteria,...
Build production-ready Model Context Protocol (MCP) servers using the official MCP SDK. Scaffold, configure, secure, and deploy MCP servers with best practices for security, monitoring, and reliability. Use for...
Coordinates complex multi-step workflows requiring orchestration across multiple MCP servers, Skills, and Task agents. Manages sequential and parallel task execution with checkpoint-based progress tracking.
Guides reservation system patterns: quantum states, availability calculation, check-in services, payment integration. Use when implementing reservations, availability management, or reservation workflows.
Strategic Architect Agent. Synthesizes memory patterns and retrospectives to generate major architectural improvements and strategic task proposals. Invoked when all limited quotas are full.
operationalization strategies for agents (AgentOps). Use this to manage internal/external tools, optimize agent "brain" prompts, and handle task decomposition.
Game development orchestrator. Routes to platform-specific skills based on project needs.
Work autonomously until task is complete with self-correction loop. No questions asked - makes decisions based on evidence (console errors, screenshots, test results). Use when you want continuous uninterrupted...
Expert guidance for creating, configuring, and using hooks. Use when working with hooks, setting up event listeners, validating commands, automating workflows, adding notifications, or understanding hook types.
Analyze a work session to identify repeatable patterns that could become reusable skills or commands. Use at the end of a productive session to capture workflows worth automating, when noticing repetitive multi...
Create GitHub Copilot Custom Agents with proper YAML frontmatter, tools configuration, and prompt engineering
Ask for an asnwer by running OpenAI Codex CLI (codex exec) for feedback on ideas, designs, code, diffs, tests, implementation plans, etc. Use when you want a sanity check, critique, feedback, or review from cod...
Coordinate between Claude and Gemini for complex tasks. Gemini excels at ingesting large codebases (100KB+), finding patterns across many files, and verification queries. Use when context would overflow Claude,...
Creates Claude Code hooks from descriptions. Use when the user wants to create a hook, add automation, set up pre/post tool actions, auto-format code, block commands, or add notifications.
Enhance and refine prompts for AI coding agents using Chain-of-Thought reasoning. Use when user asks to improve, optimize, rewrite, or enhance a prompt. Transforms vague requests into structured, high-context i...
Enhance and refine prompts for AI coding agents using Chain-of-Thought reasoning. Use when user asks to improve, optimize, rewrite, or enhance a prompt. Transforms vague requests into structured, high-context i...
strategies for using Gemini as a coding assistant. Use this for generating new code, debugging errors, translating languages, or explaining complex logic.
Expert guidance for creating slash commands. Use when working with slash commands, creating custom commands, understanding command structure, or learning YAML configuration.
Add Qdrant embedding support to v3 WordPress components for RAG chatbot. Implements component-level content chunking for searchable, structured embeddings. Use when adding embedding to new or existing v3 compon...
Apply MAKER (Massively Decomposed Agentic Processes) to solve long sequential tasks using task decomposition, multi-agent voting, and error correction. Use when facing complex multi-step problems, sequential pl...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.