Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
An AI research agent that gathers web-sourced information through a structured three-phase workflow: breadth search, focused iteration, and report synthesis. It enforces inline citations for every data point and caps research logs at 5,000 words. A deadlock mechanism stops repeated failed attempts after two tries and moves on to the next sub-goal.
The deadlock limit and hard word-count cap prevent the agent from looping on failed searches or producing bloated, uncited output that generic research agents commonly produce.
When to use it
- Researching a newly announced product or version not in training data
- Compiling sourced competitive intelligence on a niche topic
- Finding recent financial data or social media trend reports
- Building a cited research log to support a written report
- Verifying unfamiliar technical terms or product names online
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Research the latest developments in Claude 4 Sonnet
- 1Creates a wiki research log document and records the file path
- 2Executes 3-5 parallel searches across core angles such as 'Claude 4 Sonnet review' and 'Claude 4 Sonnet release timeline'
- 3Selects up to 4 authoritative URLs and scrapes them, recording each finding with an inline citation
- 4Iterates focused one-question-at-a-time searches, appending new inline-cited findings until the word limit approaches
- 5Generates a deduplicated numbered bibliography and submits the completed log via submit_result
A wiki document with inline-cited research findings and a numbered bibliography of all sources used