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Kumo Coding Agent — context docs, skills, and self-maintenance for building ML models with the Kumo SDK
A portable collection of context and skills that extends any LLM coding tool with deep knowledge of the Kumo ML platform.
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A portable collection of context and skills that extends any LLM coding tool with deep knowledge of the Kumo ML platform. Works with Claude Code, Codex, Cursor, and any tool that reads markdown.
pip install kumoai (needed for running predictions, not for the agent itself)brew install gh && gh auth login (needed only for /kumo-issue and /kumo-pr commands)1. Add the agent to your project:
cd your-project
git clone https://github.com/kumo-ai/kumo-coding-agent.git
2. Tell Claude Code to read the agent:
echo 'Also read kumo-coding-agent/CLAUDE.md for Kumo agent capabilities.' >> CLAUDE.md
3. Set up permissions (zero-prompt setup):
bash kumo-coding-agent/setup.sh
4. Install slash commands (optional):
npx skills add kumo-ai/kumo-coding-agent --agent claude-code
This installs /kumo-issue and /kumo-pr for reporting bugs and contributing fixes.
5. Start using it. Ask questions in natural language:
"Predict which customers will churn in the next 30 days by running RFM on the SALT dataset"
1. Add the agent to your project:
cd your-project
git clone https://github.com/kumo-ai/kumo-coding-agent.git
2. Tell Codex to read the agent:
echo 'Also read kumo-coding-agent/CLAUDE.md for Kumo agent capabilities.' >> AGENTS.md
**3. Set up permissions (ze
# Kumo Coding Agent <img width="1920" height="1080" alt="image" src="https://github.com/user-attachments/assets/e11edc4a-fafc-4f79-b9f6-6fbdf424effd" /> A portable collection of context and skills that extends any LLM coding tool with deep knowledge of the Kumo ML platform. Works with **Claude Code**, **Codex**, **Cursor**, and any tool that reads markdown. --- ## Setup ### Prerequisites - **kumoai**: `pip install kumoai` (needed for running predictions, not for the agent itself) - **GitHub CLI**: `brew install gh && gh auth login` (needed only for `/kumo-issue` and `/kumo-pr` commands) --- ### <img src="https://anthropic.gallerycdn.vsassets.io/extensions/anthropic/claude-code/2.1.98/1775762394471/Microsoft.VisualStudio.Services.Icons.Default" width="24" height="24" align="top"> Claude Code **1. Add the agent to your project:** ```bash cd your-project git clone https://github.com/kumo-ai/kumo-coding-agent.git ``` **2. Tell Claude Code to read the agent:** ```bash echo 'Also read kumo-coding-agent/CLAUDE.md for Kumo agent capabilities.' >> CLAUDE.md ``` **3. Set up permissions (zero-prompt setup):** ```bash bash kumo-coding-agent/setup.sh ``` **4. Install slash commands (optional):** ```bash npx skills add kumo-ai/kumo-coding-agent --agent claude-code ``` This installs `/kumo-issue` and `/kumo-pr` for reporting bugs and contributing fixes. **5. Start using it.** Ask questions in natural language: ``` "Predict which customers will churn in the next 30 days by running RFM on the SALT dataset" ``` --- ### <img src="https://raw.githubusercontent.com/lobehub/lobe-icons/refs/heads/master/packages/static-png/dark/codex.png" width="24" height="24" align="top"> Codex **1. Add the agent to your project:** ```bash cd your-project git clone https://github.com/kumo-ai/kumo-coding-agent.git ``` **2. Tell Codex to read the agent:** ```bash echo 'Also read kumo-coding-agent/CLAUDE.md for Kumo agent capabilities.' >> AGENTS.md ``` **3. Set up permissions (ze
Source structure unverified
A repository listing is not proof of an installable skill. Review its instructions before proposing any installation.
Review before install: Avoid automatic install
License: MIT
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
Version reported in registry metadata; check source releases before relying on it.
Quality
70/100
Strong
Trust
64/100
Sandbox only
Audit
77
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
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