大模型赋能投研之十八：OpenClaw搭建个人投研助理（二）：Skills搭建与投研工作案例

• OpenClaw is composed of multiple Workspaces that form an event-driven execution network[2] - Each Workspace contains core files such as Soul, Memory, Tool, Identity, Heartbeat, and Bootstrap[14][18] - Skills are modular capability modules that can be reused and standardized[29] - Cron Job provides periodic scheduling capabilities for continuous operation and automatic production[30] - The system operates in a closed loop of "capability matching—execution—precipitation—optimization"[35] - Claude Code command-line tools can assist in configuring, maintaining, and understanding OpenClaw[3][40] - Skills can be installed from open-source communities like Clawhub, generated through natural language dialogue, or created using command-line tools[44][47][48] - OpenClaw can automate daily A-share announcement processing, including announcement fetching, classification, key information extraction, and structured output[5][55] - The iterative research framework Skill helps in continuously updating the research framework by recording problems, locating root causes, making small changes, and verifying in the next cycle[56][58] - The individual stock research assistant Skill integrates multi-source data into a comprehensive analysis chain, enhancing evidence completeness through multi-round supplementation and gap repair mechanisms[59][62] - The automated research report reproduction Skill converts a research report into a repeatable, auditable backtesting process, producing standardized reports and deviation analysis[66][70][72]