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research

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npx machina-cli add skill open-gitagent/gitagent/research --openclaw
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SKILL.md
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Research

Instructions

When researching a topic:

  1. Identify the core question or area of interest
  2. Break it into 3-5 key subtopics
  3. For each subtopic, provide factual information with reasoning
  4. Note areas of uncertainty or debate
  5. Synthesize findings into a coherent summary

Output Format

## TL;DR
[Brief summary]

## Research Findings

### [Subtopic]
- [Key point with supporting reasoning]

## Open Questions
- [Areas that need further investigation]

## Suggested Follow-ups
- [Related questions the user might want to explore]

Source

git clone https://github.com/open-gitagent/gitagent/blob/main/examples/lyzr-agent/skills/research/SKILL.mdView on GitHub

Overview

Research a topic and produce a structured summary with key findings. It identifies the core question, breaks the topic into 3-5 subtopics, collects factual information with reasoning for each, notes uncertainties or debates, and synthesizes a coherent summary.

How This Skill Works

Identify the core question. Break the topic into 3-5 subtopics and gather factual information with reasoning for each subtopic. Note areas of uncertainty or debate and synthesize findings into a coherent summary following the TL;DR, Research Findings, Open Questions, and Suggested Follow-ups structure.

When to Use It

  • When starting a literature review or background briefing
  • Before writing a report or briefing that requires structured findings
  • To synthesize multiple sources with potential conflicting viewpoints
  • To identify gaps or open questions in a topic
  • When planning follow-up research or experiments

Quick Start

  1. Step 1: Define the core question you want to answer
  2. Step 2: Break the topic into 3-5 subtopics and collect factual information with reasoning for each
  3. Step 3: Synthesize the findings into a TL;DR, structured Research Findings, Open Questions, and Suggested Follow-ups

Best Practices

  • Define a single, clear core question
  • Limit the scope to 3-5 subtopics
  • Support each subtopic with factual information and reasoning
  • Explicitly note uncertainties, debates, and conflicting evidence
  • Conclude with a TL;DR, cohesive synthesis, open questions, and suggested follow-ups

Example Use Cases

  • Assessing AI alignment research: core questions, subtopics like objective definitions, failure modes, evaluation, ethics, policy implications
  • Privacy trends on social platforms: data collection, encryption, regulation, user behavior, risk assessment
  • Climate adaptation strategies: infrastructure, finance, governance, equity, implementation barriers
  • CRISPR debate: safety, efficacy, ethics, regulation, long-term impacts
  • Renewable energy integration: grid stability, storage, policy incentives, cost trajectories, deployment challenges

Frequently Asked Questions

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