Extract
alirezarezvani/claude-skills
Turn a proven pattern or debugging solution into a standalone reusable skill with SKILL.md, reference docs, and examples.
Uses a shovel tool to dig soil from the ground in outdoor environments.
$ npx skills add zjunlp/SkillNet --skill soil-extraction -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install zjunlp/SkillNet soil-extraction --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/zjunlp/SkillNet.git skills-src && mkdir -p .claude/skills && cp -r skills-src/experiments/src/skills/scienceworld/soil-extraction .claude/skills/soil-extraction && 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 "soil-extraction" agent skill from https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/scienceworld/soil-extraction into .claude/skills/soil-extraction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "soil-extraction", 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/zjunlp/SkillNet/tree/main/experiments/src/skills/scienceworld/soil-extractionType 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 zjunlp/SkillNet --skill soil-extraction -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install zjunlp/SkillNet soil-extraction --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zjunlp/SkillNet.git skills-src && mkdir -p .agents/skills && cp -r skills-src/experiments/src/skills/scienceworld/soil-extraction .agents/skills/soil-extraction && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "soil-extraction" agent skill from https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/scienceworld/soil-extraction into .agents/skills/soil-extraction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "soil-extraction", 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 zjunlp/SkillNet --skill soil-extraction -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install zjunlp/SkillNet soil-extraction --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zjunlp/SkillNet.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/experiments/src/skills/scienceworld/soil-extraction .cursor/skills/soil-extraction && 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 "soil-extraction" agent skill from https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/scienceworld/soil-extraction into .cursor/skills/soil-extraction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "soil-extraction", 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/zjunlp/SkillNet.git --path experiments/src/skills/scienceworld/soil-extraction--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 zjunlp/SkillNet --skill soil-extraction -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install zjunlp/SkillNet soil-extraction --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zjunlp/SkillNet.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/experiments/src/skills/scienceworld/soil-extraction .gemini/skills/soil-extraction && 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 "soil-extraction" agent skill from https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/scienceworld/soil-extraction into .gemini/skills/soil-extraction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "soil-extraction", 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 zjunlp/SkillNet soil-extractionInstalls 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 zjunlp/SkillNet --skill soil-extraction -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/zjunlp/SkillNet.git skills-src && mkdir -p .github/skills && cp -r skills-src/experiments/src/skills/scienceworld/soil-extraction .github/skills/soil-extraction && 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 "soil-extraction" agent skill from https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/scienceworld/soil-extraction into .github/skills/soil-extraction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "soil-extraction", 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 zjunlp/SkillNet --skill soil-extraction -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install zjunlp/SkillNet soil-extraction --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zjunlp/SkillNet.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/experiments/src/skills/scienceworld/soil-extraction .opencode/skills/soil-extraction && 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 "soil-extraction" agent skill from https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/scienceworld/soil-extraction into .opencode/skills/soil-extraction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "soil-extraction", 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.
soil-extractionUses a shovel tool to dig soil from the ground in outdoor environments.
Soil Extraction is an agent skill from zjunlp/SkillNet. Uses a shovel tool to dig soil from the ground in outdoor environments. Execute this skill when you need to obtain soil for planting tasks and have both the shovel in inventory and access to an appropriate digging location. The skill produces soil that can then be collected and transported.
Its SKILL.md is about 500 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/trajectory_excerpt.md`).
The repository describes itself as: Create, Evaluate, and Connect AI Skills. The licence is MIT.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 3fcebf8. 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.
Soil Extraction loads about 501 tokens when it runs, and up to ~794 if it reads all its reference files. Until then it costs about 77 tokens; SKILL.md has 253 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 zjunlp/SkillNet at commit 3fcebf8, republished under its MIT licence (© zjunlp). 253 words, ~501 tokens.
.claude/skills/soil-extraction/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.This skill enables the agent to extract soil from the ground using a shovel. It is a foundational step for planting tasks, transforming a bare outdoor location into a source of usable soil.
shovel in your inventory.outside) where digging is permissible.teleport to outside).use shovel in inventory on ground.soil placed nearby. Use pick up soil to add it to your inventory.use shovel in inventory on ground command is a reliable, single-step method for soil extraction as demonstrated in the trajectory.teleport to transport the soil and move to deposit it into a target container (e.g., a flower pot).use command is ambiguous, select the action that clearly involves your inventory shovel and the ground.© zjunlp, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file (references) in experiments/src/skills/scienceworld/soil-extraction of zjunlp/SkillNet.
Open the folder on GitHubat commit 3fcebf8
Soil Extraction 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 |
|---|---|---|---|---|---|---|
| Soil Extraction this skillzjunlp/SkillNet | 1.4k | — | ~501 | Automated safety check: Pass | MIT | |
| Extractalirezarezvani/claude-skills | 28k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Brand Extractnexu-io/open-design | 100k | — | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Design Extractnexu-io/open-design | 100k | — | ~549 | Automated safety check: Pass | Apache-2.0 | |
| Kg Extractruvnet/ruflo | 74k | — | ~751 | Automated safety check: Notes | MIT | |
| Extract Document Datasickn33/agentic-awesome-skills | 47k | 1 repos | ~1.1k | Automated safety check: Pass | Apache-2.0 |
alirezarezvani/claude-skills
Turn a proven pattern or debugging solution into a standalone reusable skill with SKILL.md, reference docs, and examples.
nexu-io/open-design
Extract a complete Brand Kit from a live website by driving the in-app browser.
nexu-io/open-design
Extract design tokens (color / typography / spacing) from imported source code, screenshots, or Figma exports into the canonical token bag token-map consumes.
ruvnet/ruflo
Extract entities and relations from source files to build a knowledge graph
sickn33/agentic-awesome-skills
Extract structured, grounded fields from documents — values cite their page, missing values abstain instead of hallucinating.
ruvnet/ruflo
Extract structured data via stored browser-templates or one-shot DOM queries, with mandatory AIDefence PII + prompt-injection gates before content reaches the model
zjunlp/SkillNet
Search, download, create, evaluate, analyze and route reusable agent skills with SkillNet.
zjunlp/SkillNet
Performs an initial scan of the ALFWorld environment to identify all visible objects and receptacles.
zjunlp/SkillNet
This skill searches for a specific receptacle (e.g., garbage can, cabinet) by systematically exploring the environment, checking multiple locations until found.
zjunlp/SkillNet
Prepares a household appliance (microwave, oven, toaster, fridge) for use by ensuring it is in the correct open/closed state.
zjunlp/SkillNet
Operates a device or appliance (like a desklamp, microwave, or fridge) to interact with another object.
zjunlp/SkillNet
Uses a heating appliance (microwave, stoveburner, oven) to apply heat to a specified object.
Uses a shovel tool to dig soil from the ground in outdoor environments. Soil Extraction is an agent skill from zjunlp/SkillNet. Uses a shovel tool to dig soil from the ground in outdoor environments.
Run `npx skills add zjunlp/SkillNet --skill soil-extraction -a claude-code`. Or copy the skill folder (experiments/src/skills/scienceworld/soil-extraction in zjunlp/SkillNet) into .claude/skills/soil-extraction in your project. Claude Code loads it when a task matches its description.
Run `npx skills add zjunlp/SkillNet --skill soil-extraction -a codex`. Or copy the skill folder (experiments/src/skills/scienceworld/soil-extraction in zjunlp/SkillNet) into .agents/skills/soil-extraction 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 zjunlp/SkillNet --skill soil-extraction -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/soil-extraction, .gemini/skills/soil-extraction, .github/skills/soil-extraction and .opencode/skills/soil-extraction in your project.
SKILL.md names no scripts, command-line tools or credentials: Soil Extraction 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.
Soil Extraction is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 501 tokens (SKILL.md is roughly 2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 293 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Soil Extraction: Extract (alirezarezvani/claude-skills, 28k stars), Brand Extract (nexu-io/open-design, 100k stars), Design Extract (nexu-io/open-design, 100k stars) and Kg Extract (ruvnet/ruflo, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
zjunlp (a GitHub organization) maintains it in zjunlp/SkillNet, which has 1,393 GitHub stars. The repository holds 122 skills in this directory. The repository was last updated on October 7, 2026.
Source: zjunlp/SkillNet on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.