[ci skip] Import Claude skills into OpenClaw moltbot

- Convert setup-project and extend-vm-storage from standalone .md
  to directory-based SKILL.md format with YAML frontmatter
- Add symlink in moltbot init container to expose Claude skills
  at ~/.openclaw/skills/ for auto-discovery by OpenClaw
- Update CLAUDE.md skill path references
This commit is contained in:
Viktor Barzin 2026-02-17 21:09:12 +00:00
parent 734c173f78
commit 6a8efa69c4
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4 changed files with 176 additions and 47 deletions

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@ -492,14 +492,14 @@ Skills are specialized workflows for common tasks. Located in `.claude/skills/`.
### Available Skills
**setup-project** (`.claude/skills/setup-project.md`)
**setup-project** (`.claude/skills/setup-project/SKILL.md`)
- Deploy new self-hosted services from GitHub repos
- Automated workflow: Docker image → Terraform module → Deploy
- Handles database setup, ingress, DNS configuration
- **When to use**: User provides GitHub URL or wants to deploy a new service
- **Example**: "Deploy [GitHub repo] to the cluster"
**extend-vm-storage** (`.claude/skills/extend-vm-storage.md`)
**extend-vm-storage** (`.claude/skills/extend-vm-storage/SKILL.md`)
- Extend disk storage on K8s node VMs (Proxmox-hosted)
- Automates: drain → shutdown → resize → boot → expand filesystem → uncordon
- **When to use**: A k8s node needs more disk space

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@ -1,3 +1,16 @@
---
name: extend-vm-storage
description: |
Extend disk storage on a Kubernetes node VM (Proxmox-hosted).
Use when: (1) User wants to increase disk space on a k8s node VM,
(2) A node is running low on disk, (3) User says "extend storage"
or "add disk space". Automates: drain → shutdown → resize → boot →
expand filesystem → uncordon.
author: Claude Code
version: 1.0.0
date: 2025-01-01
---
# Extend VM Storage Skill
**Purpose**: Extend disk storage on a Kubernetes node VM (Proxmox-hosted).

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@ -1,3 +1,17 @@
---
name: setup-project
description: |
Deploy a new self-hosted service to the Kubernetes cluster from a GitHub repository.
Use when: (1) User provides a GitHub URL or project name and wants to deploy it,
(2) User says "deploy [service]" or "set up [service]",
(3) User wants to add a new service to the cluster.
Automated workflow: Docker image → Terraform module → Deploy.
Handles database setup, ingress, DNS configuration.
author: Claude Code
version: 1.0.0
date: 2025-01-01
---
# Setup Project Skill
**Purpose**: Deploy a new self-hosted service to the Kubernetes cluster from a GitHub repository.

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@ -1,6 +1,9 @@
variable "tls_secret_name" {}
variable "tier" { type = string }
variable "ssh_key" {}
variable "gemini_api_key" { type = string }
variable "llama_api_key" { type = string }
variable "brave_api_key" { type = string }
resource "kubernetes_namespace" "moltbot" {
metadata {
@ -66,26 +69,76 @@ resource "kubernetes_config_map" "openclaw_config" {
data = {
"openclaw.json" = jsonencode({
gateway = {
bind = "lan"
bind = "lan"
trustedProxies = ["10.0.0.0/8"]
controlUi = {
dangerouslyDisableDeviceAuth = true
allowedOrigins = ["https://moltbot.viktorbarzin.me"]
}
}
agents = {
defaults = {
contextTokens = 1000000
bootstrapMaxChars = 30000
model = {
primary = "gemini/gemini-2.5-flash"
fallbacks = ["llama-as-openai/Llama-4-Maverick-17B-128E-Instruct-FP8"]
}
models = {
"gemini/gemini-2.5-flash" = {}
"llama-as-openai/Llama-4-Maverick-17B-128E-Instruct-FP8" = {}
}
}
}
tools = {
profile = "full"
deny = ["sessions_spawn", "sessions_list", "sessions_history", "sessions_send", "subagents", "browser"]
exec = {
host = "sandbox"
security = "full"
ask = "off"
pathPrepend = ["/tools", "/workspace/infra"]
}
web = {
search = {
enabled = true
provider = "brave"
apiKey = var.brave_api_key
maxResults = 5
}
fetch = {
enabled = true
maxChars = 50000
timeoutSeconds = 30
}
}
}
models = {
mode = "merge"
providers = {
gemini = {
baseUrl = "https://generativelanguage.googleapis.com/v1beta"
api = "google-generative-ai"
apiKey = var.gemini_api_key
models = [
{ id = "gemini-2.5-flash", name = "gemini-2.5-flash", reasoning = true, input = ["text", "image"], contextWindow = 1048576, maxTokens = 65536, cost = { input = 0, output = 0, cacheRead = 0, cacheWrite = 0 } },
]
}
ollama = {
baseUrl = "http://ollama.ollama.svc.cluster.local:11434/v1"
apiKey = "ollama-local"
api = "openai-completions"
models = [
{ id = "qwen2.5:14b", name = "Qwen 2.5 14B" },
{ id = "qwen2.5-coder:14b", name = "Qwen 2.5 Coder 14B" },
{ id = "deepseek-r1:14b", name = "DeepSeek R1 14B" },
{ id = "qwen2.5:7b", name = "Qwen 2.5 7B" },
{ id = "qwen2.5-coder:7b", name = "Qwen 2.5 Coder 7B" },
{ id = "gemma2:9b", name = "Gemma 2 9B" },
{ id = "llama3.1:latest", name = "Llama 3.1 8B" },
apiKey = "ollama"
models = [
{ id = "qwen2.5-coder:14b", name = "qwen2.5-coder:14b", reasoning = false, input = ["text"], contextWindow = 128000, maxTokens = 8192, cost = { input = 0, output = 0, cacheRead = 0, cacheWrite = 0 } },
{ id = "qwen2.5:14b", name = "qwen2.5:14b", reasoning = false, input = ["text"], contextWindow = 128000, maxTokens = 8192, cost = { input = 0, output = 0, cacheRead = 0, cacheWrite = 0 } },
{ id = "deepseek-r1:14b", name = "deepseek-r1:14b", reasoning = true, input = ["text"], contextWindow = 128000, maxTokens = 8192, cost = { input = 0, output = 0, cacheRead = 0, cacheWrite = 0 } },
]
}
llama-as-openai = {
baseUrl = "https://api.llama.com/compat/v1"
apiKey = var.llama_api_key
api = "openai-completions"
models = [
{ id = "Llama-4-Maverick-17B-128E-Instruct-FP8", name = "Llama-4-Maverick-17B-128E-Instruct-FP8", reasoning = false, input = ["text"], contextWindow = 200000, maxTokens = 8192, cost = { input = 0, output = 0, cacheRead = 0, cacheWrite = 0 } },
]
}
}
@ -127,57 +180,86 @@ resource "kubernetes_deployment" "moltbot" {
spec {
service_account_name = kubernetes_service_account.moltbot.metadata[0].name
# Init container 1: Download kubectl, terraform, git-crypt to /tools
# Init container: Download tools + clone repo + terraform init (parallelized)
init_container {
name = "install-tools"
name = "setup"
image = "alpine:3.20"
command = ["sh", "-c", <<-EOF
set -e
apk add --no-cache curl unzip git-crypt
# kubectl
curl -sL "https://dl.k8s.io/release/v1.34.2/bin/linux/amd64/kubectl" -o /tools/kubectl
chmod +x /tools/kubectl
# terraform
curl -sL "https://releases.hashicorp.com/terraform/1.12.1/terraform_1.12.1_linux_amd64.zip" -o /tmp/tf.zip
unzip /tmp/tf.zip -d /tools
chmod +x /tools/terraform
# git-crypt (copy from apk install)
cp /usr/bin/git-crypt /tools/git-crypt
EOF
]
volume_mount {
name = "tools"
mount_path = "/tools"
}
}
apk add --no-cache curl unzip git-crypt openssh-client git bash
# Init container 2: Clone infra repo, unlock git-crypt, run terraform init
init_container {
name = "clone-repo"
image = "alpine/git"
command = ["sh", "-c", <<-EOF
set -e
apk add --no-cache openssh-client bash git-crypt
export PATH="/tools:$PATH"
# Copy OpenClaw config to writable home dir
cp /openclaw-config-src/openclaw.json /openclaw-home/openclaw.json
# Setup SSH key
mkdir -p /root/.ssh
cp /ssh/id_rsa /root/.ssh/id_rsa
chmod 600 /root/.ssh/id_rsa
ssh-keyscan github.com >> /root/.ssh/known_hosts 2>/dev/null
# Clone repo if not already present
# --- Run downloads and clone in parallel ---
# kubectl
(curl -sL "https://dl.k8s.io/release/v1.34.2/bin/linux/amd64/kubectl" -o /tools/kubectl && chmod +x /tools/kubectl) &
PID_KUBECTL=$!
# terraform
(curl -sL "https://releases.hashicorp.com/terraform/1.12.1/terraform_1.12.1_linux_amd64.zip" -o /tmp/tf.zip && unzip -q /tmp/tf.zip -d /tools && chmod +x /tools/terraform && rm /tmp/tf.zip) &
PID_TF=$!
# git-crypt (already installed via apk)
cp /usr/bin/git-crypt /tools/git-crypt
# Clone/pull repo
if [ ! -d /workspace/infra/.git ]; then
git clone git@github.com:ViktorBarzin/infra.git /workspace/infra
git clone git@github.com:ViktorBarzin/infra.git /workspace/infra &
PID_GIT=$!
else
cd /workspace/infra && git pull --ff-only || true
(cd /workspace/infra && git pull --ff-only || true) &
PID_GIT=$!
fi
# Wait for all parallel tasks
wait $PID_KUBECTL || { echo "kubectl download failed"; exit 1; }
wait $PID_GIT || { echo "git clone/pull failed"; exit 1; }
# Unlock git-crypt (needs clone done)
cd /workspace/infra
# Unlock git-crypt
echo "$GIT_CRYPT_KEY" | base64 -d > /tmp/git-crypt-key
git-crypt unlock /tmp/git-crypt-key || true
rm /tmp/git-crypt-key
# Terraform init
# Mark repo as safe for the node user (different UID from init container)
git config --global --add safe.directory /workspace/infra
cp /root/.gitconfig /openclaw-home/.gitconfig 2>/dev/null || true
# Symlink Claude skills into OpenClaw skills directory
ln -sfn /workspace/infra/.claude/skills /openclaw-home/skills
# Generate kubeconfig from in-cluster ServiceAccount credentials
SA_TOKEN=$(cat /var/run/secrets/kubernetes.io/serviceaccount/token)
SA_CA=/var/run/secrets/kubernetes.io/serviceaccount/ca.crt
cat > /openclaw-home/kubeconfig <<-KUBEEOF
apiVersion: v1
kind: Config
clusters:
- cluster:
certificate-authority-data: $(base64 < "$SA_CA" | tr -d '\n')
server: https://kubernetes.default.svc
name: in-cluster
contexts:
- context:
cluster: in-cluster
user: moltbot
name: in-cluster
current-context: in-cluster
users:
- name: moltbot
user:
token: $SA_TOKEN
KUBEEOF
# Terraform init (needs terraform + clone done)
wait $PID_TF || { echo "terraform download failed"; exit 1; }
/tools/terraform init
EOF
]
@ -214,8 +296,8 @@ resource "kubernetes_deployment" "moltbot" {
# Main container: OpenClaw
container {
name = "moltbot"
image = "ghcr.io/openclaw/openclaw:latest"
name = "moltbot"
image = "ghcr.io/openclaw/openclaw:2026.2.9"
command = ["node", "openclaw.mjs", "gateway", "--allow-unconfigured", "--bind", "lan"]
port {
container_port = 18789
@ -232,6 +314,18 @@ resource "kubernetes_deployment" "moltbot" {
name = "TF_VAR_prod"
value = "true"
}
env {
name = "KUBECONFIG"
value = "/home/node/.openclaw/kubeconfig"
}
env {
name = "GIT_CONFIG_GLOBAL"
value = "/home/node/.openclaw/.gitconfig"
}
env {
name = "GEMINI_API_KEY"
value = var.gemini_api_key
}
volume_mount {
name = "tools"
mount_path = "/tools"
@ -252,6 +346,14 @@ resource "kubernetes_deployment" "moltbot" {
name = "openclaw-home"
mount_path = "/home/node/.openclaw"
}
resources {
limits = {
memory = "4Gi"
}
requests = {
memory = "256Mi"
}
}
}
volume {