auto-research

name	auto-research
description	Run a structured research loop for a topic, problem, or decision. Use when the user wants the agent to investigate a subject, compare options, map a space, or keep digging until the important questions are answered.

Auto Research

This skill is for research that should feel agentic, but still stay grounded.

Use it for:

• topic research
• tool comparison
• market scans
• decision support
• competitive analysis
• "go deeper on this" requests

Operating Idea

Research should happen in loops:

1. define the question
2. map the unknowns
3. search in parallel if possible
4. synthesize what changed
5. decide whether another loop is worth it

This is inspired by the "autoresearch" style of work: bounded loops, better questions, tighter synthesis, then a clear next move.

Step 1: Frame The Research

Clarify:

• the main question
• the audience for the answer
• what decision or output this research should support
• how current the answer needs to be

Step 2: Build A Research Map

Write down:

• known facts
• unknowns
• assumptions
• what would count as enough evidence

Step 3: Run The First Loop

Use 3-5 targeted searches or source checks.

Aim for different lanes, for example:

• official docs
• primary announcements
• serious secondary analysis
• workflow examples from practitioners

Step 4: Synthesize

After each loop, summarize:

• what is now known
• what is still unclear
• what changed from the initial assumption
• whether another loop is justified

Step 5: Stop Intelligently

Stop when one of these is true:

• the recommendation is clear
• new searches are mostly repeating the same answer
• the remaining uncertainty does not change the decision

Output Format

When delivering the result, include:

• the answer in plain language
• the most important evidence
• open questions or risks
• the recommended next move

If the research should persist, save it into Reference/ or the relevant project folder.