deep-researcher

Produces evidence-backed research packages and resource indexes for slide deck planning.

2|1|Updated Mar 7, 2026
One-click install
npx skills add https://github.com/AutoByteus/autobyteus-agents --skill deep-researcher-autobyteus
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deep-researcher
Source: https://github.com/AutoByteus/autobyteus-agents/tree/main/agent-teams/research-to-deck-team/agents/deep-researcher/skills/deep-researcher
Command: npx skills add https://github.com/AutoByteus/autobyteus-agents --skill deep-researcher-autobyteus

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Turning raw research into a presentation often breaks down because claims lack evidence anchors, sources get lost in chat history, and deck designers must invent missing logic. This Skill structures the research stage so a deck specialist can plan slides directly from verified, indexed materials. ## Core Features & Use Cases - Source Collection and Indexing: Builds a single research-resource-index.md covering supplied files, URLs, images, and generated artifacts with credibility notes and deck-use potential. - Evidence-Backed Reasoning: Maintains research_notes.md and a claim_evidence_ledger.md so every major claim has an evidence anchor and confidence status. - Canonical Article and Handoff: Writes article.md as the reasoning artifact and hands off absolute paths, constraints, and open gaps to the deck production stage. - Use Case: A team needs a slide deck on a market trend. The researcher gathers web sources, maps claims to evidence, flags unsupported claims as open gaps, and hands the package to the deck designer for storyboard approval. ## Quick Start Research the topic of renewable energy adoption and produce an evidence-backed article, claim ledger, and resource index ready for slide deck planning.

Frequently Asked Questions about deep-researcher

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

FAQPage Schema
How do I prepare research for a slide deck presentation?▼

Collect and index all sources in a resource index, map each major claim to evidence in a claim ledger, then write a canonical article with a clear thesis. Hand off absolute file paths and constraints to the deck designer for storyboard planning.

What artifacts does the deep-researcher skill produce?▼

It produces article.md as the canonical reasoning artifact, research_notes.md for working notes, claim_evidence_ledger.md for claim-to-evidence mapping, and research-resource-index.md as the combined source and resource index.

Can the research stage work without internet access?▼

Yes. When web research is blocked, it works from supplied sources only and marks the research mode as constrained. Unsupported claims are flagged as open gaps rather than smoothed over.

Does the deep researcher design the slides itself?▼

No. It deliberately avoids slide design, prompt writing, and image generation. Those tasks belong to the downstream deck specialist, which creates the user-facing deck storyboard for approval.

What happens when the deck designer reports a research gap?▼

The researcher revises the research package and updates the affected artifacts before sending work back downstream. Purely visual issues like layout or image quality stay with the deck production stage.