deep-research

name	deep-research
description	Use when the user explicitly needs a rigorous, cited, formal research report on a complex scientific, technical, policy, or market topic.

Axon Deep Research

Use this only for report-scale research: a rigorous, cited synthesis the user explicitly wants delivered as a formal written report. If the request is a product pick, a top-N list, a quick lookup, or anything answerable with a short search, stop; do not use this skill, let the request be handled the standard way.

Onboarding Interview

Infer the topic, scope, depth, and output format from context. Ask only when the topic or a critical scope boundary is unclear. Otherwise default to Thorough for formal reports.

Axon Collection Plan

Start with Axon's native research pipeline through the CLI or equivalent tool surface:

axon research "<topic>" --research-depth 5 > .axon/research.md

Then use axon ask, axon query, axon retrieve, targeted axon scrape, or additional axon research passes only when the first-pass synthesis leaves gaps. Match depth to the task scope:

• Quick: --research-depth 3, then one targeted follow-up if needed.
• Thorough: choose one value from 5 to 8, e.g. --research-depth 8, plus targeted primary-source scrapes.
• Exhaustive: multiple focused research passes and targeted primary sources, papers, expert views, and contrarian sources.

Avoid re-fetching URLs already covered by research, already indexed and available via retrieve, or already scraped in this run.

Parallel Work

If appropriate, use sub-agents or equivalent parallel task runners by research angle:

• overview and definitions
• technical or implementation details
• market and industry context
• contrarian views, risks, and limitations
• primary sources and official docs

Each researcher should return claims, source URLs, source quality notes, and uncertainty.

Final Deliverable

Default structure:

# Deep Research: [Topic]

## Executive Summary
[2-3 paragraphs]

## Key Findings
[Numbered findings with source links]

## Methodology
[Search queries, source types, inclusion/exclusion criteria, and access dates]

## Source Quality
[Primary/secondary/source-quality notes and confidence]

## Detailed Analysis
[Themes, evidence, and synthesis]

## Contrarian Views And Risks
[Counterarguments, limitations, failure modes]

## Open Questions
[What remains uncertain]

## Limits
[Known gaps, inaccessible sources, uncertainty, and recency caveats]

## Sources
[Every URL used with a one-line note]

## Rerun Inputs
workflow: deep-research
topic: [topic]
depth: [quick/thorough/exhaustive]
output: [markdown/json/brief]

Quality Bar

• Cite sources for factual claims.
• Prefer primary sources when available.
• Flag uncertainty and conflicting evidence.
• Synthesize instead of listing scrape summaries.
• For current Axon capture patterns, see capture-recipes.md.