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The ISME Journal Submission Guide
the-isme-journal
brycewang-stanford/Awesome-Journal-Skills
157
This comprehensive guide helps authors determine if their microbial ecology manuscript is suitable for The ISME Journal. It details the journal's focus on ecological and evolutionary mechanisms, outlining expectations for multi-omics integration, rigorous experimental design, and high-level evidence. Use this skill for venue selection, manuscript re-framing, and understanding the required standards for publication.
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Literature Positioning for Development Studies
worlddev-literature-positioning
brycewang-stanford/Awesome-Journal-Skills
102
This guide helps researchers position their work within the broader, multidisciplinary development conversation. It teaches how to move beyond simply presenting new data or techniques, focusing instead on bridging disciplines (e.g., economics and political science) and identifying the core conceptual contribution that a non-specialist can grasp. It is crucial for manuscripts aiming for high-impact development journals.
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Enhancing Data Exhibits for Development Manuscripts
worlddev-tables-figures
brycewang-stanford/Awesome-Journal-Skills
488
This guide provides best practices for optimizing the presentation of data exhibits—including tables, figures, and qualitative displays—in development economics manuscripts. It ensures that complex findings are highly legible and actionable for a multidisciplinary, policy-oriented audience, moving beyond simple statistical reporting to communicate clear, impactful narratives.
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DeepSpot-M Virtual Spatial Transcriptomics
deepspot-m
K-Dense-AI/scientific-agent-skills
221
Generate virtual spatial transcriptomics from H&E histology tiles with DeepSpot-M, a multimodal foundation model. Predict log1p-CPM expression for ~19k protein-coding genes per 224x224 tile at 20x, with whole-slide tiling workflows.
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Multi-Agent Architecture Patterns
multi-agent-patterns
sickn33/agentic-awesome-skills
249
This skill covers designing multi-agent systems to overcome single-agent context limits. It includes patterns like supervisor/orchestrator, swarm, and hierarchical structures. Key concepts involve context isolation, parallel execution, token economics, and specialization for complex tasks.
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