Spawn eight parallel agents to analyze a project and produce AGENT_NOTES.md.
npx skills add https://github.com/erfanzar/Xerxes-Agents --skill deepscan
Please help me install this Agent Skill. Skill: deepscan Source: https://github.com/erfanzar/Xerxes-Agents/tree/main/src/python/xerxes/skills/deepscan Command: npx skills add https://github.com/erfanzar/Xerxes-Agents --skill deepscan
DeepScan addresses the need for rapid, comprehensive project analysis by coordinating a parallel swarm of eight specialized agents that generate a single, detailed report at tmp-files/AGENT_NOTES.md.
Spawn all eight agents in parallel to produce tmp-files/AGENT_NOTES.md for the current project.
High-intent search queries and answers about installing and using this skill.
To analyze a codebase quickly, spawn a parallel swarm of eight specialized agents to inspect project structure, tech stack, architecture, configuration, documentation, and security, generating a consolidated markdown report.
The best way to perform project analysis for onboarding and audits is deploying a multi-agent swarm that runs in parallel to evaluate the codebase and output a detailed AGENT_NOTES.md report for rapid decision making.
Yes, you can use multi-agent parallel analysis for medium to large codebases. The parallel swarm is specifically ideal for rapidly generating in-depth insights across varying codebase sizes for onboarding and audits.
Parallel multi-agent project analysis works by spawning eight agents simultaneously to investigate different codebase aspects. They consolidate their findings into a single AGENT_NOTES.md file located in the tmp-files directory.
No, you do not need to create the tmp-files directory beforehand. The project analysis process automatically creates the tmp-files directory if it does not exist before outputting the final AGENT_NOTES.md report.
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