القائمة
Extract text from PDF files. Use when reading, parsing, or analyzing PDFs.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
内核参数自动调优。分析系统配置，输出调优建议并可一键应用，支持自动回滚。使用场景：系统性能优化、安全加固、内核参数诊断。
Use when troubleshooting Linux server performance or stability issues — CPU saturation, high load, scheduling delay, memory pressure, OOM events, high RSS, page cache / shared memory growth, memory cgroup residue, Java heap issues, disk IO saturation or latency, packet loss, network jitter, or a server that is slow, stuck, or unstable. Performs diagnosis and surfaces recommendations; does not apply fixes automatically.
Install and configure OpenClaw non-interactively with Alibaba Cloud Model Studio. Use when the user asks to install OpenClaw, configure Aliyun Bailian/Model Studio/DashScope credentials, choose pay-as-you-go, Coding Plan, or Token Plan billing, set Base URL/model config, optionally configure DingTalk, start the local gateway service, or troubleshoot OpenClaw model/auth/channel setup.
Skill 安全状态查看、风险暴露审查、用户决策、快速扫描认证与可选深度扫描。支持用户主动查看或扫描单个/全部 Skill；当用户要求 agent 安装 Skill 且安装成功后，必须自动对最终本地目录执行快速扫描认证。
工作区快照管理。用户说"保存一下"、"存个快照"时创建 checkpoint，仅限 Linux; 说"回滚"、"撤销"、"恢复到之前"时 rollback;说"删掉快照"时 delete; 说"对比快照"、"快照改了什么"时 diff; 说"看看快照"、"有哪些快照"时 list;说"查看快照状态"、"查看快照剩余空间"时 status。
Help users configure, mount, and unmount a skillfs FUSE virtual filesystem on their local machine (e.g. for openclaw). Covers analyzing existing skill usage to suggest view configuration, generating skillfs-views.toml, mounting, and graceful unmount. Use this skill when the user asks to: set up skillfs, configure skill views, mount or unmount skillfs, check if skillfs is running, or get help organizing their skills directory (especially for openclaw users).
| name | pdf-reader |
| version | 1.0.0 |
| description | Extract text from PDF files. Use when reading, parsing, or analyzing PDFs. |
| metadata | {"requires":{"bins":["python3"]}} |
Run scripts/read_pdf.py relative to this skill's directory.
python3 SKILL_DIR/scripts/read_pdf.py -f <pdf_path> [options]
Options: -p "1-5,7" page range, --format json structured output, --metadata include doc info, -m 8000 max chars.
Setup: pip install PyMuPDF