Feature Planner
serendipity1004/cc-feature-implementer
Creates phase-based feature plans with quality gates and incremental delivery structure.
When the AI agent must systematically analyze a legal question, case facts, legal provision, or legal relationship, it must first decompose it into a structured element checklist.
$ 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/English/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/English/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/English/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/English/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/English/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/English/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/English/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 English/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/English/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/English/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/English/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/English/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/English/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/English/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.
structured-element-extractionWhen the AI agent must systematically analyze a legal question, case facts, legal provision, or legal relationship, it must first decompose it into a structured element checklist.
Structured Element Extraction is an agent skill from THUYRan/Legal-Skills-Chinese. When the AI agent must systematically analyze a legal question, case facts, legal provision, or legal relationship, it must first decompose it into a structured element checklist. Trigger this skill when: - A description of case facts is received and all legal elements must be extracted before analysis - Determining whether a legal relationship is established (e.g., contract formation, tort composition, crime composition) - Comparing similarities and differences among two or more legal facts or provisions - As a…
Its SKILL.md is about 8.4k 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 Testing & QA, covering Quality gates and Legal research.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit c31ef1f. 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 (its code samples are markdown).
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.
Structured Element Extraction loads about 8.4k tokens when it runs. Until then it costs about 242 tokens; SKILL.md has 3,570 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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 3,570 words (~8,450 tokens).
“Structured elements are the result of breaking a legal question into minimal decidable units. Each element should satisfy:”
Just SKILL.md in English/skills/structured-element-extraction of THUYRan/Legal-Skills-Chinese.
Open the folder on GitHubat commit c31ef1f
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 | — | ~8.4k | Automated safety check: Pass | None | |
| Feature Plannerserendipity1004/cc-feature-implementer | 176 | — | ~2.4k | Automated safety check: Pass | None | |
| Ccg Workflowfengshao1227/ccg-workflow | 5.9k | — | ~2.3k | Automated safety check: Pass | MIT | |
| Conducty Checkpointrobertbarclayy/conducty | 176 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Mission Plannerjdforsythe/forge | 151 | — | ~3.5k | Automated safety check: Pass | MIT | |
| Quality Gate0xNyk/lacp | 305 | — | ~382 | Automated safety check: Pass | MIT |
serendipity1004/cc-feature-implementer
Creates phase-based feature plans with quality gates and incremental delivery structure.
fengshao1227/ccg-workflow
How to run a non-trivial change end to end with the CCG role tools (ccganalyze / ccgdesign / ccgbuild / ccgdebug / ccgoptimize / ccgreview / ccgtest) and the verify- quality gates.
robertbarclayy/conducty
Quality gate between parallelization groups. An agent skill from robertbarclayy/conducty.
jdforsythe/forge
Decomposes goals into team blueprints using evidence-based scaling laws, topology selection, and role design.
0xNyk/lacp
Production quality gate for agent sessions. An agent skill from 0xNyk/lacp.
nwiizo/ccswarm
Release deployment process for ccswarm. An agent skill from nwiizo/ccswarm.
THUYRan/Legal-Skills-Chinese
A skill your agent uses when the user needs to track or manage attorney hours, expert fees, and investigation costs; control litigation spend; or prepare timesheets or expense statements for clients.
THUYRan/Legal-Skills-Chinese
Case full-lifecycle planning skill. An agent skill from THUYRan/Legal-Skills-Chinese.
THUYRan/Legal-Skills-Chinese
Legal abductive reasoning skill for generating and evaluating the most reasonable explanatory hypotheses when evidence is incomplete or facts are ambiguous.
THUYRan/Legal-Skills-Chinese
Teleological interpretation skill (目的解释). An agent skill from THUYRan/Legal-Skills-Chinese.
THUYRan/Legal-Skills-Chinese
A skill your agent uses when the user needs to track or be reminded of hearing schedules, enforcement schedules, evidence-submission deadlines, appeal deadlines, service deadlines, preservation…
THUYRan/Legal-Skills-Chinese
Trigger this skill when the AI agent must handle any of the following situations: 1.
Categories
When the AI agent must systematically analyze a legal question, case facts, legal provision, or legal relationship, it must first decompose it into a structured element checklist. Structured Element Extraction is an agent skill from THUYRan/Legal-Skills-Chinese. When the AI agent must systematically analyze a legal question, case facts, legal provision, or legal relationship, it must first decompose it into a structured element checklist.
Structured Element Extraction fits situations like: contract formation; tort composition; crime composition) - Comparing similarities and differences among two; more legal facts.
Run `npx skills add THUYRan/Legal-Skills-Chinese --skill structured-element-extraction -a claude-code`. Or copy the skill folder (English/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.
Run `npx skills add THUYRan/Legal-Skills-Chinese --skill structured-element-extraction -a codex`. Or copy the skill folder (English/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.
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.
SKILL.md names no scripts, command-line tools or credentials: Structured Element 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.
No licence was found for Structured Element Extraction or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 8.4k tokens (SKILL.md is roughly 34k 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 Structured Element Extraction: Feature Planner (serendipity1004/cc-feature-implementer, 176 stars), Ccg Workflow (fengshao1227/ccg-workflow, 5.9k stars), Conducty Checkpoint (robertbarclayy/conducty, 176 stars) and Mission Planner (jdforsythe/forge, 151 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.