consultancy-skill

Coordinate Maker, Validator, and Aligner agents through a six-phase workflow.

2|Updated Mar 8, 2026
One-click install
npx skills add https://github.com/masplett/native-consultant --skill consultancy-skill
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: consultancy-skill
Source: https://github.com/masplett/native-consultant/tree/main
Command: npx skills add https://github.com/masplett/native-consultant --skill consultancy-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Consultancy Skill orchestrates Maker (creation), Validator (verification), and Aligner (alignment) through a structured six-phase workflow to deliver high-quality, domain-aware outcomes in minutes.

Core Features & Use Cases

  • Enables three specialized AI agents to collaborate (Maker, Validator, Aligner) across Discovery, Design, Build, Validation, QA, and Delivery.
  • Detects domain context (software, manufacturing, fashion, aerospace, enterprise) and loads domain-specific sub-skills on demand for tailored guidance.
  • Enforces memory and traceability via a Change Request protocol, gated transitions, and evidence-driven validation to ensure quality and auditability.
  • Supports multiple interaction modes (consult for full workflow, explore for quick spikes, fast-track for accelerated tasks) to match user needs.

Quick Start

Install and run: simply issue kimi consult to begin a full six-phase engagement with the trio.

Frequently Asked Questions about consultancy-skill

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

FAQPage Schema
How do I coordinate multiple AI agents for complex project validation?

To coordinate multiple AI agents, this Skill orchestrates a Maker, Validator, and Aligner trio through a six-phase workflow with gated transitions to ensure quality and traceability.

What is the best way to apply AI governance and phase gates across different industries?

Applying AI governance across industries is achieved by using domain detection to load specific sub-skills for software, manufacturing, fashion, aerospace, or enterprise contexts on demand.

How does memory and traceability work in a multi-agent AI workflow?

Memory and traceability in a multi-agent AI workflow are enforced via a Change Request protocol, gated transitions, and evidence-driven validation to deliver auditable outcomes.

Can I run an accelerated AI consultancy task without the full discovery process?

Yes, you can run an accelerated AI consultancy task using the fast-track interaction mode to bypass the full six-phase discovery process and achieve quicker results.

Does the AI trio workflow support manufacturing and aerospace domains?

Yes, the AI trio workflow supports manufacturing and aerospace domains by automatically detecting the domain context and loading tailored sub-skills for specialized guidance.