skill-creator
Create, install, or update skills in the workspace. Use when (1) installing a skill from a URL or remote source, (2) creating a new skill from scratch, (3) updating or restructuring existing skills. Always use this skill for any skill installation or creation task.
Choose how to use this skill
You do not need every option. Choose the path your AI client supports. The stable page stays the same; versioned files are immutable.
1. Native installer
This listing has no registered native installer command. Use the complete package or source fallback below, depending on what your client supports.
Do not guess an installer command or replace an existing version without reviewing the diff.
2. Complete package recommended
Download the ZIP when available. It includes SKILL.md plus the references, security notes and version metadata.
No complete ProSkills package is published for this listing yet.3. Prompt-only
Copy the prompt above when the agent can read the stable page or when you want to adopt the workflow without installing a skill.
Need only the instruction file?
Download SKILL.md only if your client requires a single file. The complete ZIP is safer for a full installation because it preserves the references and release context.
No path installs or executes anything by itself. Your agent still needs access to the project files. Before updating, compare the installed version and review the diff.
// RATINGS
Not yet listed on ClawHub or SkillsMP
// README
CowAgent is an open-source super AI assistant that proactively plans tasks, controls your computer and external services, creates and runs Skills, builds a personal knowledge base and long-term memory, forms multi-agent teams, and grows alongside you through self-evolution — a reference implementation of Agent Harness engineering.
CowAgent is lightweight, easy to deploy, and built to extend. Plug in any major LLM provider and run it 24/7 on a personal computer or server, across the web and all major IM platforms.
🎬 Demo
🌟 Highlights
| Capability | Description |
|---|---|
| Planning | Decomposes complex tasks and executes them step by step, looping over tools until the goal is reached |
| Multi-Agent | Build a team of Agents, each with its own role, model, skills, and knowledge, collaborating within a shared conversation |
| Memory | Three-tier architecture (context → daily → core), automatic Deep Dream distillation, hybrid keyword + vector retrieval |
| Knowledge | Auto-curates structured knowledge into a Markdown wiki, builds an evolving knowledge graph with visual browsing |
| Evolution | Self-Evolution reviews conversations automatically to improve skills, follow up on unfinished tasks, and consolidate memory and knowledge, growing through everyday use |
| Skills | One-click install from Skill Hub, GitHub, ClawHub; or create custom skills via natural-language conversation |
| Tools | Built-in file I/O, terminal, browser, scheduler, memory retrieval, web search, and 10+ more tools — with native MCP integration |
| Channels | Integrates with Web, WeChat, Feishu, DingTalk, WeCom, QQ, Official Accounts, Telegram, and Slack |
| Multimodal | First-class support for text, images, voice, and files — recognition, generation, and delivery |
| Models | Claude, GPT, Gemini, DeepSeek, Qwen, GLM, Kimi, MiniMax, Doubao, and more — swap providers from the Web console with one click |
| Deploy | One-line installer, unified Web console, multiple deployment modes (local, Docker, server) |
🏗️ Architecture
CowAgent is a complete Agent Harness: messages flow in through Channels; the Agent Core plans and reasons over memory, knowledge, and the available tools and skills; Models generate the response, which is sent back through the originating channel. Every layer is decoupled and independently extensible.
Read more in Architecture.
🚀 Quick Start
A one-line installer takes care of dependencies, configuration, and startup:
Linux / macOS:
bash <(curl -fsSL https://cdn.link-ai.tech/code/cow/run.sh)
Windows (PowerShell):
irm https://cdn.link-ai.tech/code/cow/run.ps1 | iex
Docker:
curl -O https://cdn.link-ai.tech/code/cow/docker-compose.yml
docker compose up -d
Once started, open http://localhost:9899 to access the Web console — your one-stop hub to chat with the Agent, configure models, connect channels, and install skills.
Deploying on a server? Set
web_hostto0.0.0.0inconfig.jsonto make the console reachable from outside, and setweb_passwordto protect it. Don't forget to open port9899in your firewall or security group.
📖 Detailed guides: Quick Start · Install from Source · Upgrade
After installation, manage the service with the cow CLI:
cow start | stop | restart # service control
cow status | logs # status and logs
cow update # pull latest code and restart
cow skill install <name> # install a skill
cow install-browser # install browser automation
💻 Desktop client: download the CowAgent Desktop client (macOS / Windows) — the backend is bundled, ready to use out of the box.
👥 Multi-Agent Team
Create a team of Agents, each with its own memory, capabilities, knowledge, and workspace. Each can focus on its own domain, or collaborate within a shared conversation to tackle complex tasks together. Multi-Agent teams are available on the Web, the desktop client, and IM channel integrations.
See Agent Team for details.
🤖 Models
CowAgent supports all mainstream LLM providers. Chat, vision, image generation, ASR/TTS, and embeddings can each be routed to a different vendor. Providers are configured directly in the Web console — no manual file editing required.
| Provider | Featured Models | Chat | Vision | Image Gen | ASR | TTS | Embedding |
|---|---|---|---|---|---|---|---|
| DeepSeek | dee |
// HOW IT'S BUILT
KEY FILES