Agent skill · AI & Agents

sibyl-latex-writer

Sibyl LaTeX 排版 agent - 将论文转为 NeurIPS LaTeX 格式并编译

majiayu000github.com/majiayu000GitHub ↗
claude-codecan modify filesMIT
Install
npx skills add majiayu000/claude-skill-registry --skill sibyl-latex-writer --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 1 KB
Bundled scripts: none
Allowed tools: ReadWriteGlobGrepBashmcp__ssh-mcp-server__execute-commandmcp__ssh-mcp-server__uploadmcp__ssh-mcp-server__downloadmcp__ssh-mcp-server__list-serversSkill
Path: skills/agent/sibyl-latex-writer/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

!`SIBYL_WORKSPACE="$ARGUMENTS[0]" .venv/bin/python3 -c "from sibyl.orchestrate import render_skill_prompt; import os; ws = os.environ.get('SIBYL_WORKSPACE', ''); print(render_skill_prompt('latex_writer', workspace_path=ws))"` AGENT_NAME: sibyl-latex-writer AGENT_TIER: sibyl-standard SIBYL_ROOT: /Users/cwan0785/sibyl-system Workspace path: $ARGUMENTS[0] SSH server: $ARGUMENTS[1] Remote base: $ARGUMENTS[2]

What's inside
Ships with 1 file
  • metadata.json
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About this skill
What does the sibyl-latex-writer skill do?

Sibyl LaTeX 排版 agent - 将论文转为 NeurIPS LaTeX 格式并编译

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill sibyl-latex-writer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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