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.