palantir-ci-integration
Configure CI/CD pipelines for Palantir Foundry integrations with GitHub Actions. Use when setting up automated testing, running transforms validation, or integrating Foundry SDK tests into your build process. Trigger with phrases like "palantir CI", "foundry GitHub Actions", "palantir automated tests", "CI foundry".
Best use case
palantir-ci-integration is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Configure CI/CD pipelines for Palantir Foundry integrations with GitHub Actions. Use when setting up automated testing, running transforms validation, or integrating Foundry SDK tests into your build process. Trigger with phrases like "palantir CI", "foundry GitHub Actions", "palantir automated tests", "CI foundry".
Teams using palantir-ci-integration should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/palantir-ci-integration/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How palantir-ci-integration Compares
| Feature / Agent | palantir-ci-integration | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Configure CI/CD pipelines for Palantir Foundry integrations with GitHub Actions. Use when setting up automated testing, running transforms validation, or integrating Foundry SDK tests into your build process. Trigger with phrases like "palantir CI", "foundry GitHub Actions", "palantir automated tests", "CI foundry".
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Palantir CI Integration
## Overview
Set up GitHub Actions CI pipelines for Foundry integrations. Covers running transform unit tests with PySpark, SDK integration tests with mocked APIs, and linting Foundry-specific patterns.
## Prerequisites
- GitHub repository with Foundry integration code
- `foundry-platform-sdk` in requirements
- pytest test suite
## Instructions
### Step 1: GitHub Actions Workflow
```yaml
# .github/workflows/foundry-ci.yml
name: Foundry CI
on:
push:
branches: [main]
pull_request:
jobs:
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: "3.11"
cache: pip
- name: Set up Java (for PySpark)
uses: actions/setup-java@v4
with:
distribution: temurin
java-version: "11"
- name: Install dependencies
run: pip install -r requirements.txt
- name: Run unit tests
run: pytest tests/ -v --tb=short --junitxml=test-results.xml
- name: Upload test results
if: always()
uses: actions/upload-artifact@v4
with:
name: test-results
path: test-results.xml
lint:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: "3.11"
- run: pip install ruff
- run: ruff check src/ tests/
integration:
runs-on: ubuntu-latest
if: github.event_name == 'push' && github.ref == 'refs/heads/main'
needs: [test, lint]
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: "3.11"
- run: pip install -r requirements.txt
- name: Run integration smoke test
env:
FOUNDRY_HOSTNAME: ${{ secrets.FOUNDRY_HOSTNAME }}
FOUNDRY_CLIENT_ID: ${{ secrets.FOUNDRY_CLIENT_ID }}
FOUNDRY_CLIENT_SECRET: ${{ secrets.FOUNDRY_CLIENT_SECRET }}
run: python scripts/smoke_test.py
```
### Step 2: Secret Configuration
```bash
# Add secrets to GitHub repository
gh secret set FOUNDRY_HOSTNAME --body "mycompany.palantirfoundry.com"
gh secret set FOUNDRY_CLIENT_ID --body "your-client-id"
gh secret set FOUNDRY_CLIENT_SECRET --body "your-client-secret"
```
### Step 3: Custom Linting Rules for Foundry
```python
# scripts/lint_foundry.py — catch common Foundry mistakes
import ast, sys
class FoundryLinter(ast.NodeVisitor):
def visit_Str(self, node):
# Flag hardcoded Foundry hostnames
if "palantirfoundry.com" in node.s:
print(f" Line {node.lineno}: Hardcoded Foundry hostname — use env var")
# Flag hardcoded RIDs
if node.s.startswith("ri.foundry.main"):
print(f" Line {node.lineno}: Hardcoded RID — use config/env var")
for path in sys.argv[1:]:
tree = ast.parse(open(path).read())
FoundryLinter().visit(tree)
```
## Output
- GitHub Actions workflow with unit tests, linting, and integration tests
- PySpark tests running in CI with JDK setup
- Secrets configured securely in GitHub
- Custom linting for Foundry-specific patterns
## Error Handling
| CI Issue | Cause | Fix |
|----------|-------|-----|
| PySpark tests fail | No JDK | Add `setup-java` step |
| Integration test 401 | Bad secrets | Re-set `gh secret set` |
| Slow tests | Full Spark startup | Use `local[1]` master |
| Import errors | Missing deps | Pin all deps in requirements.txt |
## Resources
- [GitHub Actions](https://docs.github.com/en/actions)
- [PySpark Testing](https://spark.apache.org/docs/latest/api/python/getting_started/testing_pyspark.html)
## Next Steps
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