Skip to main content
GRIND-Lab-Core

GRIND-Lab-Core

GitHub profile for GRIND-Lab-Core34 skills

Are you GRIND-Lab-Core? Claim your skills.

Verified badgeInstall analyticsFork attributionSecurity scoreGitHub sync

GRIND-Lab-Core GRIND-Lab-Core / experiment-design

88

Transforms GIScience proposals into detailed experiment roadmaps, ensuring robust validation and evidence for research claims.

openclaw
100
100

GRIND-Lab-Core GRIND-Lab-Core / generate-idea

88

Generates and ranks research ideas based on user-defined directions, facilitating the exploration of publishable research topics.

openclaw
100
100

GRIND-Lab-Core GRIND-Lab-Core / research-review

88

Facilitates in-depth critical reviews of research ideas using GPT via Codex MCP, enhancing the quality of research feedback.

openclaw
100
100

GRIND-Lab-Core GRIND-Lab-Core / paper-draft

88

Transforms research plans into journal-quality Markdown manuscripts for GIScience and GeoAI, ensuring evidence-based drafting.

openclaw
100
100

GRIND-Lab-Core GRIND-Lab-Core / data-download

88

This skill helps users discover, evaluate, and download datasets from the internet, ensuring data integrity and provenance.

openclaw
92
64

GRIND-Lab-Core GRIND-Lab-Core / experiment-design-pipeline

88

Facilitates an end-to-end workflow for refining research and designing experiments, producing comprehensive proposals and roadmaps.

openclaw
92
100

GRIND-Lab-Core GRIND-Lab-Core / paper-figure-generate

88

Generates high-quality figures and diagrams for GIScience and GeoAI publications, ensuring reproducibility and adherence to journal standards.

openclaw
92
100

GRIND-Lab-Core GRIND-Lab-Core / paper-review-loop

88

Enhances academic manuscript drafts through critical review and revision, ensuring alignment with journal standards and improving overall quality.

openclaw
92
100

GRIND-Lab-Core GRIND-Lab-Core / paper-writing-pipeline

88

Automates the complete paper writing process from planning to submission-ready manuscript, enhancing research efficiency.

openclaw
92
100

GRIND-Lab-Core GRIND-Lab-Core / spatial-analysis

88

Provides a guideline-driven framework for conducting spatial analysis, adapting methods based on research questions and data context.

openclaw
92
100

GRIND-Lab-Core GRIND-Lab-Core / deploy-experiment

88

Facilitates deployment and execution of ML/DL and GIScience experiments, managing outputs and logs for analysis.

openclaw
83
99

GRIND-Lab-Core GRIND-Lab-Core / research-refine

88

Transforms vague research directions into focused, actionable plans through iterative refinement using GPT-5.4.

claudecodex
83
100

GRIND-Lab-Core GRIND-Lab-Core / training-check

88

Monitors spatial experiments, categorizing results and firing alerts to ensure efficient research pipeline management.

openclaw
75
100

GRIND-Lab-Core GRIND-Lab-Core / full-pipeline

88

Facilitates a comprehensive research pipeline, automating idea discovery, experimentation, review, and reporting for efficient research management.

openclaw
75
100

GRIND-Lab-Core GRIND-Lab-Core / generate-report

88

Consolidates research inputs into a comprehensive narrative report to streamline the paper-writing pipeline.

opencode
75
100

GRIND-Lab-Core GRIND-Lab-Core / idea-discovery-pipeline

88

Automates the idea generation process by evaluating research gaps and producing validated research proposals and experiment plans.

openclaw
75
98

GRIND-Lab-Core GRIND-Lab-Core / novelty-check

88

Validates research ideas for novelty by searching existing literature and generating a structured novelty report.

openclaw
75
100

GRIND-Lab-Core GRIND-Lab-Core / paper-covert

88

Transforms Markdown manuscripts into submission packages, generating LaTeX, PDF, and Word formats based on venue specifications.

openclaw
75
100

GRIND-Lab-Core GRIND-Lab-Core / submit-check

88

Validates manuscripts against journal requirements, ensuring compliance with structure, content, and geo-specific standards before submission.

75
100

GRIND-Lab-Core GRIND-Lab-Core / auto-review-loop

88

Facilitates iterative adversarial reviews to enhance research quality through structured feedback and evaluation cycles.

openclaw
67
59