recruit

Create, search, and reuse domain expert agent personas with caching.

3|Updated Apr 10, 2026
One-click install
npx skills add https://github.com/giannimassi/wits --skill recruit-giannimassi
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: recruit
Source: https://github.com/giannimassi/wits/tree/main/skills/recruit
Command: npx skills add https://github.com/giannimassi/wits --skill recruit-giannimassi

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Recruiting and maintaining domain expert personas is inconsistent and time-consuming for multi-agent workflows. This skill centralizes discovery, creation, caching, and reuse of specialist agent personas so callers (other skills or users) can obtain focused expertise reliably and with provenance.

Core Features & Use Cases

  • Indexed Search & Discovery: Scan a local expert INDEX and persona files to find cached experts by domain, tags, or recent usage.
  • Create & Persist Personas: Build new experts from a structured template with persona prompts, research context, and performance notes, then save them to the configured data root.
  • Reuse & Governance: Load personas, update last_used and consumer lists, and optionally trigger deep research when domains are fresh, proprietary, or flagged for refresh.
  • Use Case: During a multi-agent discussion, call the registry to recruit a "PostgreSQL migration specialist", reuse an existing persona if fresh, or create and deep-research a new one if necessary.

Quick Start

Recruit a PostgreSQL migration specialist with deep research enabled for a database migration review.

Frequently Asked Questions about recruit

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

FAQPage Schema
How do I manage and reuse expert AI personas for multi-agent workflows?

You can manage and reuse expert AI personas by using a centralized registry that provides indexed search, persona creation from templates, and caching with usage tracking for multi-agent facilitation. It scans a local expert INDEX to find cached specialists by domain or tags.

Can I create a specialized domain expert persona on demand during a code review?

Yes, you can create specialized domain expert personas on demand during code reviews by generating them from a structured template with persona prompts and research context. The system saves new experts to a configurable data root for future reuse.

How does deep research work when recruiting a specialist agent for a planning session?

Deep research for recruiting specialist agents triggers optionally when domains are fresh, proprietary, or flagged for refresh during planning sessions. It creates and researches a new persona if an existing cached expert is not available or requires updated context.

What is the best way to track usage and provenance of specialist agent personas?

The best way to track usage and provenance of specialist agent personas is through a registry that updates last_used timestamps and consumer lists upon loading. This caching mechanism ensures callers obtain focused expertise reliably with history tracking.

Does this persona registry require external dependencies to run?

No, this persona registry does not require external dependencies to run. It operates independently with a configurable data-root storage system to persist persona files and a local expert INDEX for discovery.

When should I avoid using a centralized agent persona registry?

You should avoid using a centralized agent persona registry when your multi-agent workflows do not require specialized domain perspectives, provenance tracking, or persistent caching of expert knowledge across different sessions and consumers.