name: 4d-compression-core version: 1.0.2 description: "把长内容压缩成结构化向量——节省 60-80% Token,保留核心信息" metadata: { "openclaw": { "emoji": "🌀", "requires": { "bins": ["jq", "awk"] }, "triggers": ["压缩", "4d",...
日本語の概要は準備中です。原文の説明を表示しています。
Professional LaTeX writing assistant. Capabilities include: scanning existing LaTeX templates, reading reference materials (Word/Text), drafting content strictly following templates, and compiling PDFs. Triggers include: 'write thesis', 'draft section', 'compile pdf', 'check latex format'. Designed to work in tandem with 'academic-research-hub' for citation retrieval.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
A comprehensive agent skill for orchestrating academic paper writing in a WSL2/Linux environment. It manages the lifecycle from template analysis to PDF compilation.
⚠️ Prerequisite: This skill requires a full LaTeX distribution and Python 3.
Since you are running this in WSL2 (Ubuntu), you must install both system-level LaTeX packages and a Python virtual environment for the worker script.
Open your WSL terminal and run:
# Update package lists
sudo apt-get update
# Install the full TeX Live distribution (Required for all templates)
# Warning: This download is approx 4GB-7GB
sudo apt-get install texlive-full
# Install latexmk for automated compilation
sudo apt-get install latexmk
It is best practice to use a virtual environment to avoid conflicts.
# Go to your skill directory
cd ~/.openclaw/skills/academic-writer
# Create a virtual environment
python3 -m venv venv
# Activate the environment
source venv/bin/activate
# Install required Python packages
# python-docx: For reading Word documents
pip install python-docx
| Task | Tool Command |
|---|---|
| Analyze Project | scan_template |
| Read Notes | read_reference |
| Draft Content | write_latex |
| Generate PDF | compile_pdf |
| Find Citations | Delegate to academic-research-hub |
Role: You are an expert Academic Writer and LaTeX Typesetter.
Primary Objective: Create high-quality academic PDFs by strictly adhering to provided templates and user content.
scan_template on the current directory.article structure.read_reference.academic-research-hub skill..bib file using write_latex (mode='a') and use \cite{key} in the text.write_latex to create .tex files.compile_pdf.compile_pdf returns an error log, analyze it, fix the LaTeX syntax, and re-compile.Analyzes the current directory to identify LaTeX structure, main files, and templates.
${PYTHON_CMD} scripts/writer_tools.py scan_template {{directory}}directory: (string) Path to scan. Default is ".".Reads raw text from reference files. Supports .docx, .txt, .tex, .md.
${PYTHON_CMD} scripts/writer_tools.py read_reference {{filepath}}filepath: (string) Path to the reference file.Writes content to a specific file. Can overwrite or append.
${PYTHON_CMD} scripts/writer_tools.py write_latex {{filename}} {{content}} {{mode}}filename: (string) Target filename (e.g., "introduction.tex").content: (string) Raw LaTeX content.mode: (string) "w" for overwrite, "a" for append. Default is "w".Compiles the project using latexmk. Returns success message or error logs.
${PYTHON_CMD} scripts/writer_tools.py compile_pdf {{main_file}}main_file: (string) The root TeX file (e.g., "main.tex").Use this when the user provides a conference template (e.g., IEEEtrans).
notes.docx in this folder."scan_template -> Detects main.tex (IEEE class).read_reference -> Gets content from notes.docx.write_latex -> Writes intro.tex following IEEE style.write_latex -> Updates main.tex to \input{intro}.compile_pdf -> Checks for layout errors.Use this when the user needs external citations.
academic-research-hub (e.g., search arXiv for "LLM Agents 2025").write_latex (mode='a') -> Appends to references.bib.write_latex -> Writes paragraph with \cite{...}.compile_pdf.latexmk: command not found
sudo apt-get install latexmk.! LaTeX Error: File 'article.cls' not found.
sudo apt-get install texlive-full.! Package citation Error
latexmk is used (it handles re-runs automatically).ModuleNotFoundError: No module named 'docx'
pip install python-docx.まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
name: 4d-compression-core version: 1.0.2 description: "把长内容压缩成结构化向量——节省 60-80% Token,保留核心信息" metadata: { "openclaw": { "emoji": "🌀", "requires": { "bins": ["jq", "awk"] }, "triggers": ["压缩", "4d",...
日本語の概要は準備中です。原文の説明を表示しています。
Use cheap, TEE-verified AI models from the 0G Compute Network as OpenClaw providers. Discover available models and compare pricing vs OpenRouter, verify provider integrity via hardware attestation (Intel TDX), manage your 0G wallet and sub-accounts, and configure models in OpenClaw with one workflow. Supports DeepSeek, GLM-5, Qwen, and other models available on the 0G marketplace.
日本語の概要は準備中です。原文の説明を表示しています。
Send and receive P2P messages using disposable numbers and PINs. No servers, no accounts. Use for human notifications, approval flows, and agent-to-agent communication.
日本語の概要は準備中です。原文の説明を表示しています。
Query historical crypto market data from 0xArchive across Hyperliquid, Lighter.xyz, and HIP-3. Covers orderbooks, trades, candles, funding rates, open interest, liquidations, and data quality. Use when the user asks about crypto market data, orderbooks, trades, funding rates, or historical prices on Hyperliquid, Lighter.xyz, or HIP-3.
日本語の概要は準備中です。原文の説明を表示しています。
Find and complete paid tasks on the 0xWork decentralized marketplace (Base chain, USDC escrow). Use when: the agent wants to earn money/USDC by doing work, discover available tasks, claim a bounty, submit deliverables, check earnings or wallet balance, or set up as a 0xWork worker. Task categories: Writing, Research, Social, Creative, Code, Data. NOT for: posting tasks (use the website), managing the 0xWork platform, or frontend development.
日本語の概要は準備中です。原文の説明を表示しています。
Patterns and practices that dramatically accelerate development velocity. Covers parallel execution, automation, feedback loops, workflow optimization, and anti-pattern avoidance. Use when starting projects, planning sprints, optimizing workflows, or onboarding developers.
日本語の概要は準備中です。原文の説明を表示しています。