wolf

Coordinates Wolf governance and verification to enforce institutional compliance across Wolf Agents.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/Nice-Wolf-Studio/wolf-skills-marketplace --skill wolf
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: wolf
Source: https://github.com/Nice-Wolf-Studio/wolf-skills-marketplace/tree/main/wolf
Command: npx skills add https://github.com/Nice-Wolf-Studio/wolf-skills-marketplace --skill wolf

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Navigating a complex multi-agent system with numerous skills, principles, and governance rules can be overwhelming, leading to agents skipping critical steps or making non-compliant decisions. This master Skill provides a centralized entry point to Wolf Agents' entire institutional knowledge, ensuring agents always follow the correct, compliant, and efficient workflow.

Core Features & Use Cases

  • Centralized Knowledge Hub: Offers an overview of all core Wolf skills, including wolf-session-init, wolf-principles, wolf-archetypes, wolf-governance, wolf-roles, and wolf-verification, acting as a single source of truth.
  • Mandatory Skill Chaining: Enforces a sequential workflow with "REQUIRED NEXT SKILL" callouts and "Red Flags - STOP" sections, dramatically improving agent compliance by preventing shortcuts and ensuring all foundational context is loaded.
  • Decision Tree & Workflow Guidance: Provides a clear decision tree to help agents select the right skill for their current need and outlines common workflows (e.g., Starting New Work, Delegating to Subagent) for streamlined operations.
  • Compliance & Efficiency: Designed to significantly improve agent compliance rates by enforcing structured processes, leading to more reliable, predictable, and efficient AI operations across the entire system.
  • Use Case: When an AI agent begins any new task, it starts with wolf-session-init (linked from this master skill), which then guides it through a mandatory chain of wolf-principles, wolf-archetypes, wolf-governance, and wolf-roles, ensuring all foundational context is loaded before implementation begins, preventing errors and ensuring alignment.

Quick Start

To begin any new work, use the wolf-session-init skill as your mandatory entry point.

Frequently Asked Questions about wolf

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I enforce compliance and governance across multiple AI agents?▼

Wolf provides centralized governance coordination and verification to enforce institutional compliance across AI agents during session initialization, archetype selection, and subagent delegation. It creates mandatory workflows that prevent agents from skipping critical compliance steps, ensuring auditable and consistent decision-making across your multi-agent system.

What's the right workflow for starting a new task with AI agents?▼

Begin with wolf-session-init as your mandatory entry point, which chains sequentially through wolf-principles, wolf-archetypes, wolf-governance, and wolf-roles. This ensures all foundational context loads before implementation, preventing errors and maintaining alignment across your AI agent framework.

How does skill chaining improve AI agent compliance?▼

Wolf enforces sequential skill chaining with explicit "REQUIRED NEXT SKILL" callouts and "Red Flags - STOP" sections that prevent shortcuts. This structured approach dramatically improves compliance rates by ensuring agents follow the complete workflow rather than skipping steps or making non-compliant decisions.

Can I use Wolf to delegate tasks to subagents reliably?▼

Yes. Wolf includes governance checks and verification templates specifically for subagent delegation, ensuring delegated work remains compliant with institutional rules and principles. It provides clear decision trees and workflow guidance to route tasks to the correct subagent archetype.

What happens if an AI agent skips governance verification steps?▼

Wolf's mandatory verification blocks and red-flag sections catch shortcuts before they occur. The skill enforces institutional compliance across archetype selection, governance checks, and evidence collection, preventing non-compliant decisions from propagating through your multi-agent system.