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orchestrate-investigation

Orchestrates investigation workflows by launching workers, reviewing outputs, and importing approved results into a dispatcher-based system.

Updated Feb 18, 2026

Search Tags:#investigation #research automation #workflow management #data import #dispatcher

Ready to run

npx skills add https://github.com/tcole333/ithildin --skill orchestrate-investigation

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: orchestrate-investigation
Source: https://github.com/tcole333/ithildin/tree/main/.claude/skills/orchestrate-investigation
Command: npx skills add https://github.com/tcole333/ithildin --skill orchestrate-investigation

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill simplifies the process of launching, supervising, reviewing, and importing investigation workers through the shared dispatcher control plane, enhancing workflow efficiency.

Core Features & Use Cases

Investigation Management: Centralize control over investigation workers.
Launch & Supervise: Execute bounded workers through the dispatcher.
Review & Approve: Inspect and validate output from workers.
Import Results: Seamlessly integrate approved outcomes into databases.
Use Case: When managing a team of researchers and analysts, this Skill allows you to oversee a series of complex investigations with ease, ensuring timely and accurate results.

Quick Start

Launch a new investigation worker to trace a company and its entities using Claude.

Frequently Asked Questions about orchestrate-investigation

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

FAQPage Schema

How do I manage multiple research tasks and coordinate investigation workers?▼

A dispatcher control plane lets you orchestrate investigation workflows by launching bounded workers, supervising their execution, and reviewing outputs before importing approved results into databases.

What is the best way to automate launching and supervising research investigations?▼

Using a dispatcher-based system to launch bounded investigation workers, review their outputs, and import validated outcomes into databases provides an efficient approach to automating and supervising research workflows.

How do I review and validate output from automated research workers?▼

You can inspect and validate output from automated research workers through a centralized control plane that supports reviewing worker results and importing only the approved outcomes into your database.

Can I import approved investigation results directly into a database?▼

Yes, you can import approved investigation results directly into a database after reviewing and validating the output from dispatched investigation workers, ensuring only approved outcomes are integrated.

Does this investigation workflow management approach require any specific dependencies?▼

No, this investigation workflow management approach requires no external dependencies, operating independently through scripts to control the dispatcher, launch workers, and manage research automation without additional packages.