DeepAgentForce
Multi-tenant runtime for skills, tools, and MCP servers
All Skills in This Repository (19)
Pure Emerald Level Indicatorsweb-search
Execute web search queries via Tavily and return structured results.
rag-query
Query internal knowledge bases via RAG API using Python scripts.
theme-factory
Apply pre-defined or custom themes to slides, reports, and HTML pages.
algorithmic-art
Generate p5.js-based algorithmic art with interactive parameter exploration.
canvas-design
Generate visual art in PNG or PDF from a defined design philosophy.
slack-gif-creator
Create Slack-optimized animated GIFs using Python's PIL library.
frontend-design
Generate production-grade frontend interfaces using HTML, CSS, JS, React, and Vue.
brand-guidelines
Apply Anthropic color palettes and Poppins or Lora typography to text and graphics.
web-artifacts-builder
Create interactive HTML artifacts from React projects with Tailwind CSS and shadcn/ui.
claude-api
Build and optimize Claude API and Anthropic SDK applications with Managed Agents.
skill-creator
Create, improve, and evaluate AI skills with SKILL.md files.
webapp-testing
Execute Playwright scripts to automate web application testing and debugging.
Frequently Asked Questions
FAQPage SchemaHow to install DeepAgentForce?โผ
Run `npx skills add TW-NLP/DeepAgentForce --all -g -y` in your terminal to install all skills in this suite globally.
What does DeepAgentForce do?โผ
It is a production-grade runtime that lets multiple users run agents with isolated sessions, knowledge bases, skills, and tool configurations on one platform.
How does DeepAgentForce handle many tools at once?โผ
It uses progressive disclosure and hierarchical retrieval so only a few bridge tools stay in context, while hundreds of tools and MCP servers are searched and loaded on demand.
Can I connect external MCP servers?โผ
Yes. It supports stdio, HTTP, and SSE transports with the same config format as Claude Desktop, managed through a web UI with per-tenant overrides.
Is it safe to upload custom tools?โผ
Yes. User-uploaded Python tools run in an isolated subprocess with CPU, memory, and time limits, and sensitive environment variables are stripped automatically.
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