Fully automatic AI research agent for Geoscientists, Remote Sensing researchers, and GIScientists. Features harness engineering, GeoBenchmark (OLS/GWR/MGWR), journal templates, and MCP servers.
Adversarial iterative review loop with generator-evaluator separation. Up to 4 rounds of independent review, improvement, and re-evaluation. Persists state to output/REVIEWSTATE.json for recovery. Stop: score ≥ 7.5/10 on all dimensions, or 4 rounds. Writes full history to output/AUTOREVIEWREPORT.md.
Discover, evaluate, and download publicly available datasets from the internet. Infers data needs from a research question or task, selects authoritative sources, downloads reproducibly, validates file integrity, and documents provenance. Pauses for user input when authentication, API keys, or major tradeoffs require…
Deploy and run experiments for ML/DL training (local, remote, or Modal GPU) AND spatial data science / GIScience experiments (local, data-driven). Reads from output/refine-logs/EXPERIMENTPLAN.md and output/refine-logs/FINALPROPOSAL.md, writes to output/experiment/. Use when user says "run experiment", "deploy…
Run an end-to-end workflow that chains the skills refine-research and experiment-design. Use when the user wants a one-shot pipeline from vague research direction to focused final proposal plus detailed experiment roadmap, or asks to build a pipeline, do it end-to-end, or generate both the method and experiment plan…
Turn a refined GIScience / remote sensing / spatial data science proposal into a detailed, claim-driven experiment roadmap. Use after refine-research, or when the user asks for a detailed experiment plan, ablation matrix, spatial evaluation protocol, run order, compute budget, or paper-ready validation that supports…
Generate and rank research ideas given a broad direction. Use when user input "brainstorm ideas", "generate research ideas", "what can we work on", or wants to explore a research area for publishable directions.
Consolidates literature review, idea discovery, refined proposal, experiment plan, experiment results, and automated review into a single NARRATIVEREPORT.md that is rich enough to drive the downstream paper-writing-pipeline (paper-plan → paper-figure-generate → paper-draft → paper-review-loop → paper-convert).
The full pipeline for idea generation. It generates 8-12 novel research ideas from literature gaps and evaluates each on novelty, feasibility, and domain fit. Orchestrates lit-review → generate-idea → novelty-check → idea-review → experiment-design-pipeline to go from a broad research direction to a validated…
Get a deep critical review of research idea from GPT via Codex MCP. Use when user says "review my idea", "help me review", "get external review", or wants critical feedback on research ideas, papers, or experimental results.
Retrieves papers from local folder or ArXiv and Semantic Scholar using domain-aware keyword expansion, builds synthesis matrix, identifies gaps. Calls tools/arxivfetch.py and tools/semanticscholarfetch.py. Writes to output/paper-cache/ and output/LITREVIEWREPORT.md.
Validates that a research idea is genuinely novel vs. existing literature. Searches ArXiv, Semantic Scholar, and WebSearch for near-duplicate work. Produces a novelty verdict and evidence. Run on each idea from idea-discovery-pipeline before investing in experiments.
Converts the final Markdown manuscript from paper-draft / paper-review-loop into a submission package for the target venue — modular LaTeX (one file per section), compiled PDF, and Word .docx. Venue is read from output/PAPERPLAN.md (or argument) and routed through a small YAML profile. Does not rewrite prose, score…
Transforms output/PAPERPLAN.md into a journal-quality Markdown manuscript draft for GIScience, GeoAI, spatial data science, and remote sensing venues (IJGIS, ISPRS JPRS, RSE, TGIS, AAG Annals). Consults referenced literature, experiment, figure, and claim artifacts; supports full drafts, partial drafts, and skeleton…
Generates publication-quality figures and diagrams from output/PAPERPLAN.md for GIScience, GeoAI, and remote sensing journals (IJGIS, ISPRS JPRS, RSE, TGIS). Decides per-figure whether to produce reproducible code-generated plots/maps or structured prompts for external image-generation models (nano banana, ChatGPT…
Produces a detailed, venue-aware paper outline from all available upstream artifacts (RESEARCHPLAN, lit review, idea report, refined proposal, experiment plan/results, narrative report). Creates section-by-section plan with word budgets, claim-evidence matrix, figure/table plan, and citation scaffolding. Uses journal…
Reviews the manuscript produced by paper-draft (in output/manuscript/) as a demanding IJGIS / ISPRS JPRS reviewer-editor, cross-checks it against output/PAPERPLAN.md and its evidence artifacts, then revises it into a stronger draft. Produces a reviewed manuscript, a revised manuscript, a structured review report, a…
Full paper writing pipeline. Orchestrates paper-plan → paper-figure-generate → paper-draft → paper-review-loop → paper-covert to go from upstream research artifacts to a polished, submission-ready manuscript package (Markdown → LaTeX → PDF + DOCX). Use when user says "write paper pipeline", "paper writing", or wants…
Turn a vague research direction into a problem-anchored, elegant, frontier-aware, implementation-oriented method plan via iterative GPT-5.4 review. Use when the user says "refine my approach", "decompose this problem", "refine research plan", or wants a concrete research method that stays simple, focused, and…
Guideline-driven spatial analysis skill. Given a research question and data context, provides decision frameworks for selecting appropriate spatial methods, diagnostics, and interpretation strategies. Adapts to available data, spatial units, and analytical objectives — Claude Code determines the optimal workflow. Use…
Validates a manuscript against target journal requirements before submission. Checks word count, section structure, figure/table count, reference format, and geo-specific reporting standards. Writes a PASS/FAIL checklist report to output/reports/.
Monitors running spatial experiments. Checks output files, log files, and process status. Categorizes results as OK, STALLED, FAILED, or COMPLETE. Fires alerts by appending to output/PROJNOTES.md. Run every 15 minutes during Stage 3 of research-pipeline.
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At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: