deep-recon

Orchestrate multi-agent reconnaissance sessions to generate Obsidian-ready markdown recon documents.

43|9|Updated Feb 18, 2026
One-click install
npx skills add https://github.com/kvarnelis/deep-recon --skill deep-recon
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-recon
Source: https://github.com/kvarnelis/deep-recon/tree/main
Command: npx skills add https://github.com/kvarnelis/deep-recon --skill deep-recon

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrates a multi-agent reconnaissance workflow inside a user's knowledge base, parsing input, dispatching subagents, cross-pollinating findings across rounds, and producing a structured recon document.

Core Features & Use Cases

  • Coordinated agent orchestration: four specialized agents (Explorer, Associator, Critic, Synthesizer) run in parallel rounds to map a topic from multiple angles.
  • Interactive and autonomous modes: supports live steering between rounds or fully automated execution with a final recon.
  • Obsidian-native output & traceability: generates a final markdown recon with a process log, plus per-round agent reports and sources.
  • Vault and web synthesis: reads vault content and can fetch web sources to build a comprehensive perspective.
  • Extensible workflow: optional pdf collection and structured prompts for reproducible recon sessions.

Quick Start

Run a deep recon on a topic; the system will dispatch four subagents, gather vault and web material, and output an Obsidian-ready recon with a process log.

Frequently Asked Questions about deep-recon

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

FAQPage Schema
How do I automate multi-agent reconnaissance to generate structured Obsidian markdown documentation?

To automate multi-agent reconnaissance, this Skill dispatches four specialized subagents in parallel rounds to synthesize vault and web sources, outputting an Obsidian-ready markdown document with a process log and sources.

What is the best way to explore a complex topic across multiple domains in my Obsidian vault?

The best way to explore complex topics across domains is dispatching Explorer, Associator, Critic, and Synthesizer agents that cross-pollinate findings across rounds to build a comprehensive perspective from vault and web material.

Can I steer a reconnaissance workflow interactively between agent rounds?

Yes, interactive mode supports live steering between agent rounds, while autonomous mode runs fully automated execution to deliver a final structured recon document without manual intervention.

Does multi-agent recon work with existing Obsidian vault content and web sources?

Multi-agent recon works with both Obsidian vault content and web sources, reading existing vault files and fetching external web material to synthesize a comprehensive cross-domain perspective into structured markdown.

How do I generate traceable reconnaissance reports with per-round agent logs?

Traceable reconnaissance reports are generated by running coordinated agent rounds that produce a final markdown recon alongside per-round agent reports and a process log for full traceability of findings.

When should I use a multi-agent workflow for reconnaissance instead of a standard single-agent approach?

Use a multi-agent workflow for reconnaissance when topics require deep, cross-domain exploration and competing framings, where parallel specialized agents mapping multiple angles outperform a single-agent approach.