Matplotlib
zLanqing/codex-claude-academic-skills
Low-level plotting library for full customization. An agent skill from zLanqing/codex-claude-academic-skills.
Sample skill verifying the GeoCode skill store pipeline end-to-end.
$ npx skills add zzhonglei/GeoCode-Release --skill hello-geocode -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install zzhonglei/GeoCode-Release hello-geocode --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/zzhonglei/GeoCode-Release.git skills-src && mkdir -p .claude/skills && cp -r skills-src/contributions/hello-geocode/skill .claude/skills/hello-geocode && 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 "hello-geocode" agent skill from https://github.com/zzhonglei/GeoCode-Release/tree/main/contributions/hello-geocode/skill into .claude/skills/hello-geocode/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hello-geocode", 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/zzhonglei/GeoCode-Release/tree/main/contributions/hello-geocode/skillType 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 zzhonglei/GeoCode-Release --skill hello-geocode -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install zzhonglei/GeoCode-Release hello-geocode --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zzhonglei/GeoCode-Release.git skills-src && mkdir -p .agents/skills && cp -r skills-src/contributions/hello-geocode/skill .agents/skills/hello-geocode && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "hello-geocode" agent skill from https://github.com/zzhonglei/GeoCode-Release/tree/main/contributions/hello-geocode/skill into .agents/skills/hello-geocode/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hello-geocode", 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 zzhonglei/GeoCode-Release --skill hello-geocode -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install zzhonglei/GeoCode-Release hello-geocode --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zzhonglei/GeoCode-Release.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/contributions/hello-geocode/skill .cursor/skills/hello-geocode && 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 "hello-geocode" agent skill from https://github.com/zzhonglei/GeoCode-Release/tree/main/contributions/hello-geocode/skill into .cursor/skills/hello-geocode/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hello-geocode", 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/zzhonglei/GeoCode-Release.git --path contributions/hello-geocode/skill--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 zzhonglei/GeoCode-Release --skill hello-geocode -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install zzhonglei/GeoCode-Release hello-geocode --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zzhonglei/GeoCode-Release.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/contributions/hello-geocode/skill .gemini/skills/hello-geocode && 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 "hello-geocode" agent skill from https://github.com/zzhonglei/GeoCode-Release/tree/main/contributions/hello-geocode/skill into .gemini/skills/hello-geocode/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hello-geocode", 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 zzhonglei/GeoCode-Release hello-geocodeInstalls 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 zzhonglei/GeoCode-Release --skill hello-geocode -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/zzhonglei/GeoCode-Release.git skills-src && mkdir -p .github/skills && cp -r skills-src/contributions/hello-geocode/skill .github/skills/hello-geocode && 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 "hello-geocode" agent skill from https://github.com/zzhonglei/GeoCode-Release/tree/main/contributions/hello-geocode/skill into .github/skills/hello-geocode/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hello-geocode", 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 zzhonglei/GeoCode-Release --skill hello-geocode -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install zzhonglei/GeoCode-Release hello-geocode --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zzhonglei/GeoCode-Release.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/contributions/hello-geocode/skill .opencode/skills/hello-geocode && 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 "hello-geocode" agent skill from https://github.com/zzhonglei/GeoCode-Release/tree/main/contributions/hello-geocode/skill into .opencode/skills/hello-geocode/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hello-geocode", 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.
hello-geocodeSample skill verifying the GeoCode skill store pipeline end-to-end.
Hello Geocode is an agent skill from zzhonglei/GeoCode-Release. Sample skill verifying the GeoCode skill store pipeline end-to-end. Activate when the user asks for a GeoCode greeting or says hello.
Its SKILL.md is about 300 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. The repository describes itself as: A desktop AI assistant for geoscience data processing. The licence is MIT.
Read from SKILL.md and the folder at commit 6e3534f. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
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.
Hello Geocode loads about 297 tokens when it runs. Until then it costs about 37 tokens; SKILL.md has 150 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 no risky patterns in SKILL.md.
Automated 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.
The full file from zzhonglei/GeoCode-Release at commit 6e3534f, republished under its MIT licence (© zzhonglei). 150 words, ~297 tokens.
.claude/skills/hello-geocode/SKILL.md (or your agent's skills folder).This is a sample skill that demonstrates the GeoCode skill store pipeline. It is intentionally minimal — pure prompt, no scripts or references — so it exercises the catalog / install / discoverSkills / system-prompt path with the smallest possible payload.
If the user asks for a "GeoCode greeting" or sends a casual "hello" / "howdy" / "say hi", load this skill.
A short, friendly acknowledgement:
👋 Hello from the GeoCode Skill Store! This greeting is delivered by the
hello-geocodeskill, fetched fromcdn.jsdelivr.net/gh/zzhonglei/GeoCode-Release@release.
Then offer one short next step the user can try (for example, "want me to
check gdalinfo on a raster file?").
© zzhonglei, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in contributions/hello-geocode/skill of zzhonglei/GeoCode-Release.
Open the folder on GitHubat commit 6e3534f
Hello Geocode 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 |
|---|---|---|---|---|---|---|
| Hello Geocode this skillzzhonglei/GeoCode-Release | 189 | — | ~297 | Automated safety check: Pass | MIT | |
| MatplotlibzLanqing/codex-claude-academic-skills | 4.7k | 17 repos | ~2.9k | Automated safety check: Pass | MIT | |
| Exploratory Data Analysisspacering-net/codeg | 3.9k | 14 repos | ~3.6k | Automated safety check: Pass | MIT | |
| Scikit LearnzLanqing/codex-claude-academic-skills | 4.7k | 16 repos | ~3.9k | Automated safety check: Pass | BSD-3-Clause | |
| Chart Visualizationbytedance/deer-flow | 84k | 1 repos | ~840 | Automated safety check: Pass | MIT | |
| TimesFM Forecastinggoogle-research/timesfm | 34k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 |
zLanqing/codex-claude-academic-skills
Low-level plotting library for full customization. An agent skill from zLanqing/codex-claude-academic-skills.
spacering-net/codeg
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats.
zLanqing/codex-claude-academic-skills
Machine learning in Python with scikit-learn. An agent skill from zLanqing/codex-claude-academic-skills.
bytedance/deer-flow
Picks a suitable chart type from 26 options for your data, maps the data to that chart's parameters and generates a chart image through a JavaScript script.
google-research/timesfm
Forecasts any univariate time series zero-shot with Google's TimesFM model, returning point forecasts and calibrated prediction intervals without training.
vercel/next.js
Benchmark React or Next.js changes on Vercel Sandbox VMs with paired A/B statistics: react PR/commit vs base, or Next.js PR/commit vs base, measured end-to-end through the bench/render-pipeline app…
zzhonglei/GeoCode-Release
Create well-designed maps that follow standard cartographic conventions.
zzhonglei/GeoCode-Release
Create, edit, analyze, or convert Excel spreadsheets (.xlsx, .xlsm) where the workbook file is the primary deliverable.
zzhonglei/GeoCode-Release
Find, download, and prepare official thematic statistics from the National Bureau of Statistics of China.
zzhonglei/GeoCode-Release
GEE scripting and remote sensing analysis workflow guide. An agent skill from zzhonglei/GeoCode-Release.
zzhonglei/GeoCode-Release
Select an appropriate projected coordinate system for geographic data analysis or cartographic tasks.
zzhonglei/GeoCode-Release
Official, standards-compliant vector boundaries of China's administrative divisions — province, city and county polygons.
Categories
Sample skill verifying the GeoCode skill store pipeline end-to-end. Hello Geocode is an agent skill from zzhonglei/GeoCode-Release. Sample skill verifying the GeoCode skill store pipeline end-to-end.
Hello Geocode fits situations like: asks for a GeoCode greeting.
Run `npx skills add zzhonglei/GeoCode-Release --skill hello-geocode -a claude-code`. Or copy the skill folder (contributions/hello-geocode/skill in zzhonglei/GeoCode-Release) into .claude/skills/hello-geocode in your project. Claude Code loads it when a task matches its description.
Run `npx skills add zzhonglei/GeoCode-Release --skill hello-geocode -a codex`. Or copy the skill folder (contributions/hello-geocode/skill in zzhonglei/GeoCode-Release) into .agents/skills/hello-geocode 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 zzhonglei/GeoCode-Release --skill hello-geocode -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hello-geocode, .gemini/skills/hello-geocode, .github/skills/hello-geocode and .opencode/skills/hello-geocode in your project.
SKILL.md names no scripts, command-line tools or credentials: Hello Geocode is instructions for the agent only.
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 found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Hello Geocode is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 297 tokens (SKILL.md is roughly 1.2k 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 Hello Geocode: Matplotlib (zLanqing/codex-claude-academic-skills, 4.7k stars), Exploratory Data Analysis (spacering-net/codeg, 3.9k stars), Scikit Learn (zLanqing/codex-claude-academic-skills, 4.7k stars) and Chart Visualization (bytedance/deer-flow, 84k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
zzhonglei (a GitHub user) maintains it in zzhonglei/GeoCode-Release, which has 189 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on October 4, 2026.
Source: zzhonglei/GeoCode-Release on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.