Academic Research Skills for Claude Code: research → write → review → revise → finalize Industry context: Academic research workflow and writing assistance software. Source repository: Imbad0202/academic-research-skills (Python). Topics: academic-pipeline, academic-writing, ai-research, claude, claude-code, literature-review, peer-review, prompt-engineering. This page documents 26 features across 5 domains with a product map score of 89/100.
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Use MapAcademic Research Skills for Claude Code: research → write → review → revise → finalize
Product map score
Academic research workflow and writing assistance software
5
Product Domains
6
Goals
8
Flows
13
Capabilities
26
Features
Showing 28 rows
Academic Research Skills is a curated Product Map for the open-source Python repository Imbad0202/academic-research-skills. It maps 26 features across 5 product domains, 13 capabilities, and 59 total facets. Kriyastream intelligence reports a product map score of 89/100, maturity stage "Operating", industry context "Academic research workflow and writing assistance software". Domains include Pipeline Orchestration, Publication Preparation, Research, Review and Revision, and Writing. Representative features include Apply Paper Format, Check Claims, Check Requirements, and Compare Sources plus 22 more.
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Plus 6 more features in the product map grid above.
Academic Research Skills for Claude Code: research → write → review → revise → finalize Industry context: Academic research workflow and writing assistance software. Source repository: Imbad0202/academic-research-skills (Python).
Academic Research Skills is a curated Product Map for the open-source Python repository Imbad0202/academic-research-skills. It maps 26 features across 5 product domains, 13 capabilities, and 59 total facets. Kriyastream intelligence reports a product map score of 89/100, maturity stage "Operating", industry context "Academic research workflow and writing assistance software". Domains include Pipeline Orchestration, Publication Preparation, Research, Review and Revision, and Writing. Representative features include Apply Paper Format, Check Claims, Check Requirements, and Compare Sources plus 22 more.
This product map is curated from Imbad0202/academic-research-skills (https://github.com/Imbad0202/academic-research-skills). Primary language: Python. GitHub stars: 44,991.
Academic Research Skills has a product map score of 89 out of 100 (Operating maturity). Scores blend structure completeness, map quality, and industry benchmark alignment.
Limited Collaboration and Co-Authoring Support: The product map lacks explicit capabilities and features supporting real-time collaboration, co-authoring, and shared commenting among multiple researchers or students, which are critical in academic research projects involving teams. Absence of Reference Management and Citation Style Automation: While citation insertion is present, there is no explicit capability for managing reference libraries, automatic citation style formatting, or integration with popular citation databases, which are standard expectations for academic writing tools. No Support for Plagiarism Detection and Originality Checks: The product does not include features or capabilities for plagiarism checking or originality verification, which are essential integrity checkpoints in academic publishing workflows.
This map organizes Academic Research Skills as a hierarchy: Domain (product area) → Goal (job to be done) → User Flow → Capability → Feature. Use the grid view to compare paths across domains; use the graph view for nested structure. The product map score reflects structure completeness, map quality, and industry benchmark alignment. Facet counts, the feature list, and the product map grid summarize what is modeled.
Use the Academic Research Skills product map to understand product scope, compare capabilities across domains, identify gaps from priority improvements, benchmark against similar products, and import the structure into a Kriyastream workspace for work breakdown, estimation, and code validation.
A Kriyastream Product Map is a curated, structured model of a product's domains, capabilities, and features—derived from product intelligence and, when available, linked to a source code repository. It gives humans and AI agents shared vocabulary for planning, execution, and product-to-code validation.
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