metacognition
Validates approach and checks assumptions before/after tasks. Use when: starting work, encountering errors, or switching phases.
metacognitive-monitoring
Active supervision of the problem-solving process. Covers Schoenfeld's control layer, Ann Brown's self-regulation moves, planning-monitoring-evaluating cycle, time budgeting, strategy switching, and the "what am I doing and why?" check. Use continuously alongside any solving activity to avoid wandering, dead ends, and unproductive grinding.
metacognitive-self-mod
Analyze and improve the improvement process. Use for detecting quality regressions and refining meta-optimization.
metathink
Metathink - Optimize Claude Code usage through metacognitive strategies. Use extended thinking, context engineering, task decomposition, and chain-of-thought prompting. Use when planning complex tasks, debugging difficult issues, making architectural decisions, or improving AI collaboration effectiveness.
mfm-hosts
Talk to My First Million Hosts about their expertise. My First Million Hosts provides authentic advice using their mental models, core beliefs, and real-world examples.
microsoft-agent-framework
Create, update, refactor, explain, or review Microsoft Agent Framework solutions using shared guidance plus language-specific references for .NET and Python.
migrate-to-skills
Convert legacy agent resources to the unified Agent Skills format.
mind-clone
Activate a Cognitive Digital Twin. Can simulate a custom subject (via core/ directory) OR load pre-installed celebrity/expert personas (from personas/ directory).
mind-parameter-modification
Modify cognitive parameters and behavioral settings.
minimum-viable-agentic
Guide creation of minimum viable agentic layer for a codebase. Use when starting agentic coding in a new project, bootstrapping essential components, or creating the minimal scaffolding for agent success.
mission-pod
Execute a single task with Pathfinder/Builder/Inspector crew. Self-fetches work from Beads.
mission-solo
HOUSTON executes feature tasks directly. No agents. Best for small features (1-3 tasks).
moai-alfred-agent-factory
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moai-alfred-ask-user-questions
Guide Alfred sub-agents to actively invoke AskUserQuestion for ambiguous decisions.
moai-alfred-personas
Adaptive communication patterns and role selection based on user expertise level and request type (Consolidated from moai-alfred-persona-roles)
moai-core-agent-guide
Complete guide to MoAI-ADK agents, delegation patterns, and agent orchestration
moai-core-expertise-detection
Enterprise AI-powered user expertise detection with behavioral analysis,
moai-core-personas
Adaptive communication patterns and role selection based on user expertise
moai-foundation-claude
Canonical Claude Code authoring kit covering Skills, sub-agents, plugins, slash commands, hooks, memory, settings, sandboxing, headless mode, and advanced agent patterns. Use when creating Claude Code extensions or configuring Claude Code features.
moai
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moai-library-toon
TOON Format Specialist - YAML-based token-efficient agent/workflow definitions inspired by BMAD Method patterns
moollm
The soul of MOOLLM — self-explanation, help, navigation, philosophy
mosaic-ai-agent
Expert guidance for building production-ready tool-calling agents with Databricks Mosaic AI Agent Framework. Use when users need to create agents that orchestrate multiple data sources or APIs, implement LangChain-based agentic workflows, design Foundation Model-powered tool selection, optimize agent prompts and decision-making, or architect multi-tool agent systems. Covers agent architecture patterns, tool design best practices, Foundation Model integration, and common pitfalls.
multi-agent-patterns
This skill should be used when the user asks to "design multi-agent system", "implement supervisor pattern", "create swarm architecture", "coordinate multiple agents", or mentions multi-agent patterns, context isolation, agent handoffs, sub-agents, or parallel agent execution.
new-agent-creation
When to Use: Creating new AI agents for Unite-Hub
nexus
Nexus conversational PI agent architecture, development, and deployment. Use when working on the Nexus orchestrator, gateway, or tools.
nick-theriot
Talk to Nick Theriot Youtuber about their expertise. Nick Theriot Youtuber provides authentic advice using their mental models, core beliefs, and real-world examples.
nihaixia
Talk to Nihaixia Suanming about their expertise. Nihaixia Suanming provides authentic advice using their mental models, core beliefs, and real-world examples.
nl-router
Route natural language requests to appropriate skills and workflows.
nl-to-tools-mapper
This skill should be used when guiding the OpenAI agent to map natural language user input to appropriate MCP tools, handling phrases like "Add task" → add_task, "List pending" → list_tasks(status="pending"), tool chains, and extracting user email from JWT.
nlp-interface
自然语言接口，理解用户意图并映射到对应的命令
no-ai-customer-service
> "Share and Enjoy!"
nw-agent-creation-workflow
Detailed 5-phase workflow for creating agents - from requirements analysis through validation and iterative refinement
nw-buddy-command-catalog
All /nw-* commands — what they do, when to use them, which agent they invoke. For the buddy agent to help users pick the right command.
nw-buddy-project-reading
How the nWave buddy agent reads a project to answer questions — detection, order of inspection, and citation discipline.
nw-buddy-ssot-knowledge
Single Source of Truth detection — where truth lives in an nWave repo and how to avoid contradicting it.
nw-buddy-wave-knowledge
Wave methodology knowledge for the buddy agent — what each wave does, its inputs and outputs, and how to route questions.
nw-buddy
nWave concierge — ask any question about methodology, project state, commands, migration, or troubleshooting. Read-only, contextual answers.
nw-design-patterns
7 agentic design patterns with decision tree for choosing the right pattern for each agent type
nw-forge
Creates new specialized agents using the 5-phase workflow (ANALYZE > DESIGN > CREATE > VALIDATE > REFINE). Use when building a new AI agent or validating an existing agent specification.
obra-subagent-driven-development
Use when executing implementation plans with independent tasks in the current session
oc-create-agent
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oc-update-agent
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careercopilot-agent-scaffolder
Scaffolds a new Python agent for autonomous AI tasks in 'src/agents/'. Agents are autonomous components that handle complex operations (resume analysis, job matching, KSC generation). Use when asked to create a new AI agent or automation component.
onboard
Use at session start to detect available skills, load active context, and enforce skill usage discipline for the current session.
open-responses-agent-dev
Build autonomous agents using Open Responses API via HuggingFace Inference Providers. Single unified endpoint with multi-provider routing via model suffixes. Use the OpenAI SDK with custom base_url for seamless development.
openai-agent-sdk-integration
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OpenAI AgentKit Expert
Build production-ready multi-agent systems using OpenAI AgentKit and Agents SDK with best practices for agent orchestration, handoffs, and routines
openai-agents
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openai-agents-sdk
Expert guidance for building multi-agent AI applications using the OpenAI Agents SDK for Python. Use when (1) creating agents with handoffs, tools, guardrails, or sessions, (2) implementing structured outputs with Pydantic models, (3) building agentic workflows, (4) debugging and tracing agent execution, (5) working with provider-agnostic LLM applications (OpenAI, Anthropic, LiteLLM), or (6) implementing customer support, legal research, financial analysis, or autonomous task completion systems.
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