teamclaw
Multi-tenant control plane for enterprise agent operations
All Skills in This Repository (24)
Pure Emerald Level IndicatorsAgent Browser
Automate headless browser interactions via CLI commands like open, click, and snapshot.
Self-Improving + Proactive Agent
Store agent corrections and preferences in local memory files.
qcc-cli
Query enterprise profiles via qcc-cli from 企查查 and agent-browser.
anygen
Route user requests to AnyGen operations and execute end-to-end content generation workflows.
playwright-scraper-skill
Extract data from dynamic and Cloudflare-protected websites using Playwright scrapers.
data-analyst
Execute SQL queries, process spreadsheets, and generate insights from datasets.
summarize
Summarize URLs, PDFs, images, audio, and YouTube videos via CLI.
baidu-search
Perform live Baidu web searches via BDSE with a JSON payload.
browserwing
Execute browser automation tasks through an HTTP API.
multi-search-engine
Consolidate multi-engine web search across 17 engines into a single workflow.
skill-creator
Create and package self-contained AI skills with standardized SKILL.md templates.
内容创作工具包 (Content Skills)
Coordinate nine content-creation sub-skills for infographics, slides, comics, and social publishing.
Frequently Asked Questions
FAQPage SchemaHow to install TeamClaw?▼
Run `npx skills add szsip239/teamclaw --all -g -y` in your terminal to install all skills in this suite globally.
What does TeamClaw do?▼
It is an enterprise operations platform that manages runtime instances, agents, skills, model resources, knowledge bases, permissions, and audit logs in one multi-tenant dashboard.
Which runtimes does TeamClaw support?▼
It supports OpenClaw-compatible runtimes and the Pi runtime as pluggable execution engines, switchable directly in the chat interface.
Does TeamClaw include a knowledge base?▼
Yes. You can upload PDF, DOCX, and Excel files and search them with hybrid retrieval combining Postgres full-text search and pgvector embeddings.
Can non-developers use TeamClaw?▼
Yes. After deployment, daily work like chatting with agents, installing skills, and managing models happens entirely in the web interface.
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