Claude-code-plugins-plus-skills palantir-deploy-integration
install
source · Clone the upstream repo
git clone https://github.com/jeremylongshore/claude-code-plugins-plus-skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/jeremylongshore/claude-code-plugins-plus-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/plugins/saas-packs/palantir-pack/skills/palantir-deploy-integration" ~/.claude/skills/jeremylongshore-claude-code-plugins-plus-skills-palantir-deploy-integration && rm -rf "$T"
manifest:
plugins/saas-packs/palantir-pack/skills/palantir-deploy-integration/SKILL.mdsource content
Palantir Deploy Integration
Overview
Deploy Foundry-integrated applications to cloud platforms (GCP Cloud Run, AWS Lambda, Docker) with proper secrets management and health checks.
Prerequisites
- Passing CI tests:
palantir-ci-integration - Production OAuth2 credentials from Developer Console
- Cloud platform CLI configured (gcloud, aws, etc.)
Instructions
Step 1: Dockerfile
FROM python:3.11-slim WORKDIR /app COPY requirements.txt . RUN pip install --no-cache-dir -r requirements.txt COPY src/ ./src/ EXPOSE 8080 CMD ["uvicorn", "src.main:app", "--host", "0.0.0.0", "--port", "8080"]
Step 2: Deploy to Google Cloud Run
set -euo pipefail PROJECT_ID=$(gcloud config get-value project) SERVICE_NAME="foundry-integration" REGION="us-central1" # Build and push container gcloud builds submit --tag "gcr.io/$PROJECT_ID/$SERVICE_NAME" # Deploy with secrets from Secret Manager gcloud run deploy "$SERVICE_NAME" \ --image "gcr.io/$PROJECT_ID/$SERVICE_NAME" \ --region "$REGION" \ --set-secrets "FOUNDRY_HOSTNAME=foundry-hostname:latest" \ --set-secrets "FOUNDRY_CLIENT_ID=foundry-client-id:latest" \ --set-secrets "FOUNDRY_CLIENT_SECRET=foundry-client-secret:latest" \ --min-instances 1 \ --max-instances 10 \ --timeout 60 \ --allow-unauthenticated
Step 3: Health Check Endpoint
# src/main.py from fastapi import FastAPI import foundry, os app = FastAPI() @app.get("/health") async def health(): try: client = get_foundry_client() list(client.ontologies.Ontology.list()) return {"status": "healthy", "foundry": "connected"} except Exception as e: return {"status": "degraded", "foundry": str(e)}, 503
Step 4: Environment-Specific Configuration
# src/config.py import os from dataclasses import dataclass @dataclass class FoundryConfig: hostname: str client_id: str client_secret: str scopes: list[str] @classmethod def from_env(cls) -> "FoundryConfig": env = os.environ.get("ENVIRONMENT", "development") scopes_map = { "development": ["api:read-data"], "staging": ["api:read-data", "api:write-data"], "production": ["api:read-data", "api:write-data", "api:ontology-read"], } return cls( hostname=os.environ["FOUNDRY_HOSTNAME"], client_id=os.environ["FOUNDRY_CLIENT_ID"], client_secret=os.environ["FOUNDRY_CLIENT_SECRET"], scopes=scopes_map.get(env, ["api:read-data"]), )
Output
- Containerized Foundry integration deployed to cloud platform
- Secrets injected via cloud secrets manager
- Health check endpoint verifying Foundry connectivity
- Environment-specific scope configuration
Error Handling
| Issue | Cause | Fix |
|---|---|---|
| Container fails to start | Missing env vars | Verify all secrets are mounted |
| Health check fails | Foundry unreachable | Check VPC/firewall rules |
| Cold start timeout | SDK initialization slow | Set min-instances to 1 |
| Secret rotation breaks app | Old secret revoked | Deploy new secret before revoking old |
Resources
Next Steps
For observability setup, see
palantir-observability.