Automate iterative research workflows via a five-step loop with YAML config.
npx skills add https://github.com/Siyou-Li/research-frog-skill --skill research-frog
Please help me install this Agent Skill. Skill: research-frog Source: https://github.com/Siyou-Li/research-frog-skill/tree/main/skills/research-frog Command: npx skills add https://github.com/Siyou-Li/research-frog-skill --skill research-frog
Research projects often suffer from fragmented workflows, inconsistent memory across iterations, and manual, error-prone coordination. The Research Frog provides a disciplined, five-step loop that automates this process and preserves a reusable, verifiable history.
Initialize a project by filling out the YAML config and run the research-frog loop to start the first iteration.
High-intent search queries and answers about installing and using this skill.
Automating iterative research workflows with persistent memory requires a structured five-step loop: review, execute, log, plan, and archive. This enforces tight log discipline and preserves a verifiable history for long-running projects.
Coordinating literature review and drafting in a research project is best handled by dispatching sub-skills for literature scoping, drafting, and reviewing. This automates task routing while maintaining a unified orchestration loop.
Yes, you can use a YAML config to adapt research orchestration for different project goals, hardware, and deliverables. The same loop operates across multiple projects by reading the configuration settings.
An automated research loop stops iterating when a clear termination condition is met. The orchestration loop evaluates this condition during the review and planning phases to ensure the research goal is achieved.
Long-running research projects lose context between iterations due to fragmented workflows and inconsistent memory. A disciplined loop with persistent logging and an archive step preserves a reusable history to prevent this.
No external dependencies are required to run research orchestration in Claude Code. The system operates autonomously using internal sub-skills and references without additional package installations.
hilaryosborneDefine scope, decompose work into tasks, and estimate effort for engineering initiatives.
Xueheng-LiAnalyze Claude Code interaction history to extract usage patterns and project activity.
SamyakJhaveriAutomate literature discovery, LaTeX paper drafting, and peer review workflows.
dogekikiSearch the Semantic Scholar API for academic paper metadata and citation counts.
