Antv L7
antvis/L7
Comprehensive guide for AntV L7 geospatial visualization library.
Guideline-driven spatial analysis skill. An agent skill from GRIND-Lab-Core/night_owl_research_agent.
The automated check flagged lines worth reading first. See the safety section below.
$ npx skills add GRIND-Lab-Core/night_owl_research_agent --skill spatial-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install GRIND-Lab-Core/night_owl_research_agent spatial-analysis --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/GRIND-Lab-Core/night_owl_research_agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/spatial-analysis .claude/skills/spatial-analysis && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "spatial-analysis" agent skill from https://github.com/GRIND-Lab-Core/night_owl_research_agent/tree/main/skills/spatial-analysis into .claude/skills/spatial-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "spatial-analysis", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/GRIND-Lab-Core/night_owl_research_agent/tree/main/skills/spatial-analysisType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add GRIND-Lab-Core/night_owl_research_agent --skill spatial-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install GRIND-Lab-Core/night_owl_research_agent spatial-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GRIND-Lab-Core/night_owl_research_agent.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/spatial-analysis .agents/skills/spatial-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "spatial-analysis" agent skill from https://github.com/GRIND-Lab-Core/night_owl_research_agent/tree/main/skills/spatial-analysis into .agents/skills/spatial-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "spatial-analysis", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add GRIND-Lab-Core/night_owl_research_agent --skill spatial-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install GRIND-Lab-Core/night_owl_research_agent spatial-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GRIND-Lab-Core/night_owl_research_agent.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/spatial-analysis .cursor/skills/spatial-analysis && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "spatial-analysis" agent skill from https://github.com/GRIND-Lab-Core/night_owl_research_agent/tree/main/skills/spatial-analysis into .cursor/skills/spatial-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "spatial-analysis", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/GRIND-Lab-Core/night_owl_research_agent.git --path skills/spatial-analysis--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add GRIND-Lab-Core/night_owl_research_agent --skill spatial-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install GRIND-Lab-Core/night_owl_research_agent spatial-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GRIND-Lab-Core/night_owl_research_agent.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/spatial-analysis .gemini/skills/spatial-analysis && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "spatial-analysis" agent skill from https://github.com/GRIND-Lab-Core/night_owl_research_agent/tree/main/skills/spatial-analysis into .gemini/skills/spatial-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "spatial-analysis", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install GRIND-Lab-Core/night_owl_research_agent spatial-analysisInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add GRIND-Lab-Core/night_owl_research_agent --skill spatial-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/GRIND-Lab-Core/night_owl_research_agent.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/spatial-analysis .github/skills/spatial-analysis && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "spatial-analysis" agent skill from https://github.com/GRIND-Lab-Core/night_owl_research_agent/tree/main/skills/spatial-analysis into .github/skills/spatial-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "spatial-analysis", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add GRIND-Lab-Core/night_owl_research_agent --skill spatial-analysis -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install GRIND-Lab-Core/night_owl_research_agent spatial-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GRIND-Lab-Core/night_owl_research_agent.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/spatial-analysis .opencode/skills/spatial-analysis && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "spatial-analysis" agent skill from https://github.com/GRIND-Lab-Core/night_owl_research_agent/tree/main/skills/spatial-analysis into .opencode/skills/spatial-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "spatial-analysis", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
spatial-analysisGuideline-driven spatial analysis skill. An agent skill from GRIND-Lab-Core/night_owl_research_agent.
Spatial Analysis is an agent skill from GRIND-Lab-Core/night_owl_research_agent. 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 when user says "spatial analysis", "analyze spatial data", "run spatial regression", "check for clustering", "map this", or needs to go from a research question to a complete spatial analysis.
Its SKILL.md is about 8.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Data & Analytics, covering Geospatial analysis and Hypothesis generation. The repository describes itself as: Fully automatic AI research agent for Geoscientists, Remote Sensing researchers, and GIScientists. Features harness engineering, GeoBenchmark (OLS/GWR/MGWR), journal templates…
11 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 5f7a246. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
Bash(*)ReadWriteEditGrepGlobAgentFrom allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown and python).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Spatial Analysis loads about 8.1k tokens when it runs. Until then it costs about 132 tokens; SKILL.md has 3,546 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found patterns that need a careful read before installing.
try using Bash (`cat << 'EOF' > file`). Do not ask permission — just do it.allowed-tools: Bash(*), Read, Write, Edit, Grep, Glob, AgentAutomated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
Without a licence we can't republish the file, so here is its outline and opening line. It has 3,546 words (~8,144 tokens).
Just SKILL.md in skills/spatial-analysis of GRIND-Lab-Core/night_owl_research_agent.
Open the folder on GitHubat commit 5f7a246
Spatial Analysis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Spatial Analysis this skillGRIND-Lab-Core/night_owl_research_agent | 106 | — | ~8.1k | Automated safety check: Warn | None | |
| Antv L7antvis/L7 | 4.1k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Geo SleuthOldcircle/geo-sleuth | 1.3k | — | ~6.1k | Automated safety check: Pass | MIT | |
| Portaljs Add Geodatopian/portaljs | 2.4k | 1 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Thematic Mapzzhonglei/GeoCode-Release | 187 | — | ~3.1k | Automated safety check: Pass | MIT | |
| Rs Paper Pipelinethinson/RS-PaperClaw | 227 | — | ~319 | Automated safety check: Pass | MIT |
antvis/L7
Comprehensive guide for AntV L7 geospatial visualization library.
Oldcircle/geo-sleuth
Geolocate or chronolocate a photo with tool-verified reasoning (where was this taken / when was it taken / photo geolocation / geo-guessing).
datopian/portaljs
Auto-ingest a geospatial file (GeoJSON, Shapefile, GeoPackage, KML/KMZ, FlatGeobuf, CSV-with-geometry) into a PortalJS portal on the user's own machine, with no server.
zzhonglei/GeoCode-Release
Create well-designed maps that follow standard cartographic conventions.
thinson/RS-PaperClaw
A skill your agent uses when operating or maintaining the RS-PaperClaw pipeline that fetches remote-sensing arXiv papers, creates per-paper issues, builds daily digests, reconciles issue sets, and…
limi124/remote-sensing-research-radar
Track, retrieve, screen, and synthesize research frontiers for geospatial AI, remote sensing big data, and transferable computer vision methods.
GRIND-Lab-Core/night_owl_research_agent
Get a deep critical review of research idea from GPT via Codex MCP.
GRIND-Lab-Core/night_owl_research_agent
Deploy and run experiments for ML/DL training (local, remote, or Modal GPU) AND spatial data science / GIScience experiments (local, data-driven).
GRIND-Lab-Core/night_owl_research_agent
Turn a refined GIScience / remote sensing / spatial data science proposal into a detailed, claim-driven experiment roadmap.
GRIND-Lab-Core/night_owl_research_agent
Run an end-to-end workflow that chains the skills refine-research and experiment-design.
GRIND-Lab-Core/night_owl_research_agent
Generate and rank research ideas given a broad direction. An agent skill from GRIND-Lab-Core/night_owl_research_agent.
GRIND-Lab-Core/night_owl_research_agent
Discover, evaluate, and download publicly available datasets from the internet.
Categories
Guideline-driven spatial analysis skill. An agent skill from GRIND-Lab-Core/night_owl_research_agent. Spatial Analysis is an agent skill from GRIND-Lab-Core/night_owl_research_agent. Guideline-driven spatial analysis skill.
Spatial Analysis fits situations like: user says spatial analysis; analyze spatial data; run spatial regression; check for clustering.
Run `npx skills add GRIND-Lab-Core/night_owl_research_agent --skill spatial-analysis -a claude-code`. Or copy the skill folder (skills/spatial-analysis in GRIND-Lab-Core/night_owl_research_agent) into .claude/skills/spatial-analysis in your project. Claude Code loads it when a task matches its description.
Run `npx skills add GRIND-Lab-Core/night_owl_research_agent --skill spatial-analysis -a codex`. Or copy the skill folder (skills/spatial-analysis in GRIND-Lab-Core/night_owl_research_agent) into .agents/skills/spatial-analysis in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add GRIND-Lab-Core/night_owl_research_agent --skill spatial-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/spatial-analysis, .gemini/skills/spatial-analysis, .github/skills/spatial-analysis and .opencode/skills/spatial-analysis in your project.
SKILL.md names no scripts, command-line tools or credentials: Spatial Analysis is instructions for the agent only. Our summary lists: Python 3. Its frontmatter pre-approves these tools: Bash(*), Read, Write, Edit, Grep, Glob, Agent.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md flagged 1 warning(s): tells the agent its actions are pre-authorized / not to stop for confirmation. Read the flagged lines before installing; the check is not a guarantee either way.
No licence was found for Spatial Analysis or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 8.1k tokens (SKILL.md is roughly 33k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Spatial Analysis: Antv L7 (antvis/L7, 4.1k stars), Geo Sleuth (Oldcircle/geo-sleuth, 1.3k stars), Portaljs Add Geo (datopian/portaljs, 2.4k stars) and Thematic Map (zzhonglei/GeoCode-Release, 187 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
GRIND-Lab-Core (a GitHub organization) maintains it in GRIND-Lab-Core/night_owl_research_agent, which has 106 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on May 6, 2026.
Source: GRIND-Lab-Core/night_owl_research_agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.