How do I install the Kagenti skill?

Run npx skillmds@latest add tomevault-io/kagenti in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Kagenti safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: CAUTION, Skill Scanner: PASS. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Kagenti?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Kagenti free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Kagenti?

tomevault-io (@tomevault-io) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Kagenti by tomevault-io — Agent Skill

Name: Kagenti
Author: tomevault-io

File contents

flowchart TD
    DEPLOY([Deploy]) --> TYPE{Platform?}
    TYPE -->|Kind| KDEPLOY["kagenti:deploy"]:::deploy
    TYPE -->|OpenShift| ODEPLOY["kagenti:deploy"]:::deploy
    TYPE -->|HyperShift| HSDEPLOY["kagenti:operator"]:::deploy

    KDEPLOY --> HEALTH["k8s:health"]:::k8s
    ODEPLOY --> HEALTH
    HSDEPLOY --> HEALTH
    HEALTH -->|Healthy| DONE([Ready])
    HEALTH -->|Issues| DEBUG{Debug}
    DEBUG -->|Pods| PODS["k8s:pods"]:::k8s
    DEBUG -->|Logs| LOGS["k8s:logs"]:::k8s
    DEBUG -->|UI| UI["kagenti:ui-debug"]:::deploy

    classDef deploy fill:#795548,stroke:#333,color:white
    classDef k8s fill:#00BCD4,stroke:#333,color:white

Follow this diagram as the workflow.

Kagenti Skills

Skills for deploying and managing the Kagenti platform.

Available Sub-Skills

Skill	Description
`kagenti:operator`	Deploy Kagenti operator, agents, tools, run E2E tests
`kagenti:deploy`	Deploy Kagenti Kind cluster using Python installer
`kagenti:ui-debug`	Debug UI issues including 502 errors, API connectivity, nginx proxy

Quick Deploy (Kind)

# Deploy platform
./.github/scripts/kagenti-operator/30-run-installer.sh

# Wait for CRDs
./.github/scripts/kagenti-operator/41-wait-crds.sh

# Deploy demo agents
./.github/scripts/kagenti-operator/71-build-weather-tool.sh
./.github/scripts/kagenti-operator/72-deploy-weather-tool.sh
./.github/scripts/kagenti-operator/74-deploy-weather-agent.sh

Quick Deploy (OpenShift)

export KUBECONFIG=~/clusters/hcp/<cluster-name>/auth/kubeconfig
./.github/scripts/kagenti-operator/30-run-installer.sh --env ocp

Run E2E Tests

export AGENT_URL="http://localhost:8000"
export KAGENTI_CONFIG_FILE=deployments/envs/dev_values.yaml
./.github/scripts/kagenti-operator/90-run-e2e-tests.sh

Related Documentation

deployments/ansible/README.md
docs/install.md

Converted and distributed by TomeVault — claim your Tome and manage your conversions.

---name: kagentidescription: Deploy and manage Kagenti platform, operator, agents, and tools on Kubernetes. Use when this capability is needed.---```mermaidflowchart TD DEPLOY([Deploy]) --> TYPE{Platform?} TYPE -->|Kind| KDEPLOY["kagenti:deploy"]:::deploy TYPE -->|OpenShift| ODEPLOY["kagenti:deploy"]:::deploy TYPE -->|HyperShift| HSDEPLOY["kagenti:operator"]:::deploy KDEPLOY --> HEALTH["k8s:health"]:::k8s ODEPLOY --> HEALTH HSDEPLOY --> HEALTH HEALTH -->|Healthy| DONE([Ready]) HEALTH -->|Issues| DEBUG{Debug} DEBUG -->|Pods| PODS["k8s:pods"]:::k8s DEBUG -->|Logs| LOGS["k8s:logs"]:::k8s DEBUG -->|UI| UI["kagenti:ui-debug"]:::deploy classDef deploy fill:#795548,stroke:#333,color:white classDef k8s fill:#00BCD4,stroke:#333,color:white```> Follow this diagram as the workflow.# Kagenti SkillsSkills for deploying and managing the Kagenti platform.## Available Sub-Skills| Skill | Description ||-------|-------------|| `kagenti:operator` | Deploy Kagenti operator, agents, tools, run E2E tests || `kagenti:deploy` | Deploy Kagenti Kind cluster using Python installer || `kagenti:ui-debug` | Debug UI issues including 502 errors, API connectivity, nginx proxy |## Quick Deploy (Kind)```bash# Deploy platform./.github/scripts/kagenti-operator/30-run-installer.sh# Wait for CRDs./.github/scripts/kagenti-operator/41-wait-crds.sh# Deploy demo agents./.github/scripts/kagenti-operator/71-build-weather-tool.sh./.github/scripts/kagenti-operator/72-deploy-weather-tool.sh./.github/scripts/kagenti-operator/74-deploy-weather-agent.sh```## Quick Deploy (OpenShift)```bashexport KUBECONFIG=~/clusters/hcp/<cluster-name>/auth/kubeconfig./.github/scripts/kagenti-operator/30-run-installer.sh --env ocp```## Run E2E Tests```bashexport AGENT_URL="http://localhost:8000"export KAGENTI_CONFIG_FILE=deployments/envs/dev_values.yaml./.github/scripts/kagenti-operator/90-run-e2e-tests.sh```## Related Documentation- `deployments/ansible/README.md`- `docs/install.md`---> Converted and distributed by [TomeVault](https://tomevault.io/claim/kagenti) — claim your Tome and manage your conversions.

Frequently asked questions

Kagenti