Paper to Chinese Patent Drafter
Yuan1z0825/nature-skills
Drafts Chinese invention patent applications and technical disclosures from research papers or inventor materials, tying each claim feature to source evidence.
当AI智能体需要对一个法律问题、案件事实、法律条文或法律关系进行系统性分析时，首先必须将其分解为结构化的要素清单。该技能在以下场景触发： - 接收到一段案件事实描述，需要提取全部法律要素后再进行分析 - 需要判断某一法律关系是否成立（如合同成立、侵权构成、犯罪构成） - 需要对比两个或多个法律事实/条文的异同 - 在进入法律推理、法律适用、法律建议等下游任务之前，作为前置质量关卡 -…
Install Structured Element Extraction
$ npx skills add THUYRan/Legal-Skills-Chinese --skill structured-element-extraction -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install THUYRan/Legal-Skills-Chinese structured-element-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/THUYRan/Legal-Skills-Chinese.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/structured-element-extraction .claude/skills/structured-element-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 "structured-element-extraction" agent skill from https://github.com/THUYRan/Legal-Skills-Chinese/tree/main/skills/structured-element-extraction into .claude/skills/structured-element-extraction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "structured-element-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/THUYRan/Legal-Skills-Chinese/tree/main/skills/structured-element-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 THUYRan/Legal-Skills-Chinese --skill structured-element-extraction -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install THUYRan/Legal-Skills-Chinese structured-element-extraction --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/THUYRan/Legal-Skills-Chinese.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/structured-element-extraction .agents/skills/structured-element-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 "structured-element-extraction" agent skill from https://github.com/THUYRan/Legal-Skills-Chinese/tree/main/skills/structured-element-extraction into .agents/skills/structured-element-extraction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "structured-element-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 THUYRan/Legal-Skills-Chinese --skill structured-element-extraction -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install THUYRan/Legal-Skills-Chinese structured-element-extraction --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/THUYRan/Legal-Skills-Chinese.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/structured-element-extraction .cursor/skills/structured-element-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 "structured-element-extraction" agent skill from https://github.com/THUYRan/Legal-Skills-Chinese/tree/main/skills/structured-element-extraction into .cursor/skills/structured-element-extraction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "structured-element-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/THUYRan/Legal-Skills-Chinese.git --path skills/structured-element-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 THUYRan/Legal-Skills-Chinese --skill structured-element-extraction -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install THUYRan/Legal-Skills-Chinese structured-element-extraction --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/THUYRan/Legal-Skills-Chinese.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/structured-element-extraction .gemini/skills/structured-element-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 "structured-element-extraction" agent skill from https://github.com/THUYRan/Legal-Skills-Chinese/tree/main/skills/structured-element-extraction into .gemini/skills/structured-element-extraction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "structured-element-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 THUYRan/Legal-Skills-Chinese structured-element-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 THUYRan/Legal-Skills-Chinese --skill structured-element-extraction -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/THUYRan/Legal-Skills-Chinese.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/structured-element-extraction .github/skills/structured-element-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 "structured-element-extraction" agent skill from https://github.com/THUYRan/Legal-Skills-Chinese/tree/main/skills/structured-element-extraction into .github/skills/structured-element-extraction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "structured-element-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 THUYRan/Legal-Skills-Chinese --skill structured-element-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 THUYRan/Legal-Skills-Chinese structured-element-extraction --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/THUYRan/Legal-Skills-Chinese.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/structured-element-extraction .opencode/skills/structured-element-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 "structured-element-extraction" agent skill from https://github.com/THUYRan/Legal-Skills-Chinese/tree/main/skills/structured-element-extraction into .opencode/skills/structured-element-extraction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "structured-element-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.
Facts
- Skill name
structured-element-extraction- GitHub stars
- 868
- Token cost
- ~3.8k tokens
- SKILL.md length
- 846 words
- Files
- 1
- Skills in repo
- 71
- Repo updated
- First seen
- Licence
- None found
At a glance
当AI智能体需要对一个法律问题、案件事实、法律条文或法律关系进行系统性分析时，首先必须将其分解为结构化的要素清单。该技能在以下场景触发： - 接收到一段案件事实描述，需要提取全部法律要素后再进行分析 - 需要判断某一法律关系是否成立（如合同成立、侵权构成、犯罪构成） - 需要对比两个或多个法律事实/条文的异同 - 在进入法律推理、法律适用、法律建议等下游任务之前，作为前置质量关卡 -…
- Works in 4 steps: 必要要素（Must）：法定构成要件中的每一项，缺一不可 →… → 重要要素（Should）：影响法律后果轻重的要素 → 应当列出 → 参考要素（May）：对分析有辅助价值但非必需的要素 → 可以列出 → …
- Legal & Compliance work in your project
- SKILL.md covers 一、概述表格, 二、法律声明, 三、核心概念 and 四、完整工作流程, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Structured Element Extraction is an agent skill from THUYRan/Legal-Skills-Chinese. 当AI智能体需要对一个法律问题、案件事实、法律条文或法律关系进行系统性分析时，首先必须将其分解为结构化的要素清单。该技能在以下场景触发： - 接收到一段案件事实描述，需要提取全部法律要素后再进行分析 - 需要判断某一法律关系是否成立（如合同成立、侵权构成、犯罪构成） - 需要对比两个或多个法律事实/条文的异同 - 在进入法律推理、法律适用、法律建议等下游任务之前，作为前置质量关卡 - 用户明确要求"列出要素""逐项分析""检查是否遗漏" 本技能的核心目标是：确保要素提取完整、无遗漏，形成可追溯、可验证的结构化清单，然后才允许进入下一阶段推理。它是法律分析链条中的"质量闸门"。
Its SKILL.md is about 3.8k 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 Legal & Compliance.
When your agent uses it
- Legal & Compliance work in your project
Example prompts
- “检查是否遗漏”
- “/structured-element-extraction”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- 必要要素（Must）：法定构成要件中的每一项，缺一不可 → 必须列出，即使标注为"待查证"
- 重要要素（Should）：影响法律后果轻重的要素 → 应当列出
- 参考要素（May）：对分析有辅助价值但非必需的要素 → 可以列出
- 排除要素（Exclude）：与本案无关的要素 → 不列出，但在排除说明中简要记录排除理由
What it can do on your machine
Read from SKILL.md and the folder at commit c31ef1f. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Structured Element Extraction loads about 3.8k tokens when it runs. Until then it costs about 80 tokens; SKILL.md has 846 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.
Safety
Auto-check passed
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.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 846 words (~3,798 tokens).
- name
- structured-element-extraction
Files
Just SKILL.md in skills/structured-element-extraction of THUYRan/Legal-Skills-Chinese.
Open the folder on GitHubat commit c31ef1f
Compare with similar skills
Structured Element 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 |
|---|---|---|---|---|---|---|
| Structured Element Extraction this skillTHUYRan/Legal-Skills-Chinese | 868 | — | ~3.8k | Automated safety check: Pass | None | |
| Paper to Chinese Patent DrafterYuan1z0825/nature-skills | 46k | 1 repos | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| C15tc15t/c15t | 1.9k | 1 repos | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| Contract Reviewevolsb/claude-legal-skill | 462 | 1 repos | ~3.6k | Automated safety check: Pass | MIT | |
| Legal Clinic Client Intakeanthropics/claude-for-legal | 9.6k | 3 repos | ~3.2k | Automated safety check: Pass | Apache-2.0 | |
| Paper To Cn Patentsnipp-zha/Paper-to-patent-Skill | 105 | 1 repos | ~959 | Automated safety check: Pass | None |
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Related
Categories
Questions about Structured Element Extraction
What does Structured Element Extraction do?
当AI智能体需要对一个法律问题、案件事实、法律条文或法律关系进行系统性分析时，首先必须将其分解为结构化的要素清单。该技能在以下场景触发： - 接收到一段案件事实描述，需要提取全部法律要素后再进行分析 - 需要判断某一法律关系是否成立（如合同成立、侵权构成、犯罪构成） - 需要对比两个或多个法律事实/条文的异同 - 在进入法律推理、法律适用、法律建议等下游任务之前，作为前置质量关卡 -…. Structured Element Extraction is an agent skill from THUYRan/Legal-Skills-Chinese.
When should I use Structured Element Extraction?
Structured Element Extraction fits situations like: legal & Compliance work in your project.
How do I install Structured Element Extraction in Claude Code?
Run `npx skills add THUYRan/Legal-Skills-Chinese --skill structured-element-extraction -a claude-code`. Or copy the skill folder (skills/structured-element-extraction in THUYRan/Legal-Skills-Chinese) into .claude/skills/structured-element-extraction in your project. Claude Code loads it when a task matches its description.
How do I install Structured Element Extraction in Codex?
Run `npx skills add THUYRan/Legal-Skills-Chinese --skill structured-element-extraction -a codex`. Or copy the skill folder (skills/structured-element-extraction in THUYRan/Legal-Skills-Chinese) into .agents/skills/structured-element-extraction in your project. Codex loads it when a task matches its description.
Can I use Structured Element Extraction in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add THUYRan/Legal-Skills-Chinese --skill structured-element-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/structured-element-extraction, .gemini/skills/structured-element-extraction, .github/skills/structured-element-extraction and .opencode/skills/structured-element-extraction in your project.
What does Structured Element Extraction need to run?
SKILL.md names no scripts, command-line tools or credentials: Structured Element Extraction is instructions for the agent only.
Does Structured Element Extraction access the network?
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.
Is Structured Element Extraction safe to install?
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.
What licence does Structured Element Extraction use?
No licence was found for Structured Element Extraction or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Structured Element Extraction use?
About 3.8k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Structured Element Extraction?
Skills that share tags, products or a category with Structured Element Extraction: Paper to Chinese Patent Drafter (Yuan1z0825/nature-skills, 46k stars), C15t (c15t/c15t, 1.9k stars), Contract Review (evolsb/claude-legal-skill, 462 stars) and Legal Clinic Client Intake (anthropics/claude-for-legal, 9.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Structured Element Extraction?
THUYRan (a GitHub user) maintains it in THUYRan/Legal-Skills-Chinese, which has 868 GitHub stars. The repository holds 71 skills in this directory. The repository was last updated on August 22, 2026.
Source: THUYRan/Legal-Skills-Chinese on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.