veeva-hello-world
Veeva Vault hello world with REST API and VQL. Use when integrating with Veeva Vault for life sciences document management. Trigger: "veeva hello world".
Best use case
veeva-hello-world is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Veeva Vault hello world with REST API and VQL. Use when integrating with Veeva Vault for life sciences document management. Trigger: "veeva hello world".
Teams using veeva-hello-world 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/veeva-hello-world/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How veeva-hello-world Compares
| Feature / Agent | veeva-hello-world | 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?
Veeva Vault hello world with REST API and VQL. Use when integrating with Veeva Vault for life sciences document management. Trigger: "veeva hello world".
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
# Veeva Vault Hello World
## Overview
Create, retrieve, and query documents in Veeva Vault -- the fundamental CRUD operations. Uses the Vault REST API with VQL (Vault Query Language) for data retrieval.
## Instructions
### Step 1: Query Documents with VQL
```python
import requests, os
vault_url = "https://myvault.veevavault.com/api/v24.1"
headers = {"Authorization": session_id}
# VQL is SQL-like but Vault-specific
query = "SELECT id, name__v, type__v, status__v, created_date__v FROM documents LIMIT 10"
response = requests.post(f"{vault_url}/query", headers=headers, data={"q": query})
result = response.json()
for doc in result.get("data", []):
print(f"{doc['name__v']} | Type: {doc['type__v']} | Status: {doc['status__v']}")
```
### Step 2: Retrieve a Document
```python
doc_id = 123
response = requests.get(f"{vault_url}/objects/documents/{doc_id}", headers=headers)
doc = response.json()
print(f"Document: {doc['document']['name__v']}")
print(f"Version: {doc['document']['major_version_number__v']}.{doc['document']['minor_version_number__v']}")
```
### Step 3: Create a Document
```python
# Create document metadata
doc_data = {
"name__v": "Protocol Amendment 001",
"type__v": "Trial Document",
"subtype__v": "Protocol",
"lifecycle__v": "General Lifecycle",
}
response = requests.post(f"{vault_url}/objects/documents", headers=headers, data=doc_data)
new_id = response.json()["id"]
print(f"Created document: {new_id}")
```
### Step 4: Upload Document File
```python
with open("protocol.pdf", "rb") as f:
response = requests.post(
f"{vault_url}/objects/documents/{new_id}/file",
headers={**headers, "Content-Type": "application/octet-stream"},
data=f,
)
print(f"File uploaded: {response.json()['responseStatus']}")
```
## Output
```
Protocol Amendment 001 | Type: Trial Document | Status: Draft
Document: Protocol Amendment 001
Version: 0.1
Created document: 456
File uploaded: SUCCESS
```
## Error Handling
| Error | Cause | Solution |
|-------|-------|----------|
| `INVALID_DATA` in VQL | Wrong field name | Check object metadata |
| `PARAMETER_REQUIRED` | Missing required field | Add type__v, lifecycle__v |
| `OPERATION_NOT_ALLOWED` | Wrong document state | Check lifecycle state |
## Resources
- [Document API](https://developer.veevavault.com/api/24.1/#documents)
- [VQL Reference](https://developer.veevavault.com/vql/)
## Next Steps
Proceed to `veeva-local-dev-loop` for development workflow.Related Skills
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