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 for finance and market topics. It runs a structured three-phase workflow: broad parallel search and data collection, focused iterative research, and final report synthesis with inline citations. It treats search results as the source of truth and deprioritizes its own internal knowledge.
Built-in deadlock detection stops the agent after two failed attempts on any sub-goal, preventing the looping behavior that wastes tool calls in general-purpose research agents.
When to use it
- Researching a newly listed stock before investing
- Tracking sector trends across financial news and social media
- Compiling a competitor analysis for a fintech product
- Investigating a company's recent earnings and public announcements
- Finding finance-related discussions on Chinese social platforms like Xiaohongshu
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Research the latest developments in algorithmic trading platforms in 2026
- 1Formulates 3-5 core search angles: platform reviews, market share, regulatory updates, key players
- 2Creates a research log document and stores the file path for later appending
- 3Executes parallel searches, prioritizing finance-specific tools via discover_tools and execute_search_tool
- 4Reads up to 4 authoritative URLs and appends findings with inline citations to the log
- 5Iterates focused research to fill gaps, then writes a structured final report and submits both documents
A structured report with abstract, background, core findings, conclusion, and a numbered reference list