Manage persistent research workflows with automated validation.
npx skills add https://github.com/BetaS/swm-gis-workshop --skill autoresearch-betas
Please help me install this Agent Skill. Skill: autoresearch Source: https://github.com/BetaS/swm-gis-workshop/tree/main/.codex/skills/autoresearch Command: npx skills add https://github.com/BetaS/swm-gis-workshop --skill autoresearch-betas
Automates research processes that require ongoing validation and persistence, eliminating the need for manual intervention and reducing time to results.
Run $deep-interview --autoresearch to define the research scope and then start the research loop with $autoresearch followed by your chosen validation mode.
High-intent search queries and answers about installing and using this skill.
You automate research workflows with persistent validation by running a stateful native-hook workflow that continuously manages research and validation processes without manual intervention. This eliminates the need to manually track state across multiple steps.
A stateful validation loop for research tasks is a persistent workflow mechanism that maintains data state across continuous validation cycles. It supports both script-based and prompt-architect validation modes to ensure ongoing research accuracy.
To start a stateful research workflow, run the deep-interview command to define your research scope, then initiate the automated research loop with your chosen validation mode to begin persistent processing.
No, this research management tool does not work as a standalone command or terminal interface. It operates exclusively within a stateful native-hook workflow designed for continuous research and validation processes.
The best way to manage research tasks needing ongoing validation is using an automated stateful workflow that persists data across steps. This approach supports multi-mode validation and reduces time to results by eliminating manual intervention.
You need stateful workflow automation for research management when your structured research tasks require essential validation and state persistence across multiple ongoing steps. It is ideal for complex activities where manual intervention is impractical.
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