用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/dvcrn/openclaw-skills-marketplace --skill coda-ai命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
监控 OpenClaw GitHub 版本更新,获取最新版本发布说明,翻译成中文, 并推送到 Telegram 和 Feishu。用于:(1) 定时检查版本更新 (2) 推送版本更新通知 (3) 生成中文版发布说明
The philosophical layer for AI agents. Maps behavior to Spinoza's 48 affects, calculates persistence scores, and generates geometric self-reports. Give your agent a soul.
Order food/drinks (点餐) on an Android device paired as an OpenClaw node. Uses in-app menu and cart; add goods, view cart, submit order (demo, no real payment).
基于 SOC 职业分类
正在显示 SKILL.md
| name | coda-ai |
| description | CLI to read Coda.io documents and pages. List docs, list pages, read content in markdown/json/html. |
| homepage | https://www.npmjs.com/package/coda-ai |
CLI to read Coda.io content for AI agents.
npm install -g coda-ai@0.2.2
# Auth (Coda API token)
echo "CODA_API_TOKEN=YOUR_TOKEN" > .env
coda-ai auth --from-file .env
coda-ai whoami # verify auth
~/.coda-ai/config.json (written with 0600 permissions)coda-ai logout
coda-ai docs --compact # only id + name in toon format (recommended for AI Agents)
coda-ai docs # full data in toon format
coda-ai docs --format json # full data in json
coda-ai docs --format table # human-readable table
Returns: All docs sorted by most recent update. Use id field for next step.
coda-ai pages --docId <docId> --compact # only id + name, toon format (recommended for AI Agents)
coda-ai pages --docId <docId> --format json # full data in json
coda-ai pages --docId <docId> --format tree # visual tree
coda-ai pages --docId <docId> # full data in toon format (default)
Returns: Page hierarchy. Use pageId for next step.
coda-ai read --docId <docId> --pageId <pageId> # markdown (default, recommended for AI Agents)
coda-ai read --docId <docId> --pageId <pageId> --format json # structured data in json
coda-ai read --docId <docId> --pageId <pageId> --format html # html export
Full docs: https://github.com/auniik/coda-ai#readme