Editorial and source context
What this Skill does
Academic Pipeline is a source-indexed Agent Skill for data, research & analysis work. Based on the SKILL.md description, it focuses on orchestrator for the full academic research pipeline: research -> write -> integrity check -> review ->…. Use the linked GitHub file to confirm scope and prerequisites before enabling it.
What the author says
Orchestrator for the full academic research pipeline: research -> write -> integrity check -> review -> revise -> re-review -> re-revise -> final integrity check -> finalize. Coordinates deep-research, academic-paper, and academic-paper-reviewer into a seamless 10-stage workflow with mandatory, coverage-bounded integrity checks, two-stage peer review, and auditable quality-assurance artifacts. Triggers on: academic pipeline, research to paper, full paper workflow, paper pipeline, end-to-end paper, research-to-publication, complete paper workflow, 연구부터 논문까지, 연구 주제 설정부터 논문 완성까지, 논문 전체 워크플로.
Compatibility and requirements
- Use an agent runtime that supports Agent Skills and the linked SKILL.md format.
- Confirm the source repository's tools, SDKs, and platform prerequisites for academic research work.
How to install or import it
- Open the linked GitHub SKILL.md and review its scope and setup instructions.
- Install or import the skill using the agent runtime's documented workflow.
- Run a small, non-sensitive test and verify the output before broader use.
Permissions and risks
- Review every command, file path, network request, dependency, and credential scope before enabling it.
- GitHub stars indicate popularity, not safety or correctness; validate the source and test with non-sensitive data.
Example workflows
- Ask an AI agent to apply Academic Pipeline to academic research work described in the source record.
- Have the agent state assumptions, required tools, and expected output before using this data, research & analysis skill.
- Compare the result with the linked GitHub SKILL.md and verify it against your project requirements.
Related Agent Skills
More source records in Data, Research & Analysis.