procore-observability
Procore observability — construction management platform integration. Use when working with Procore API for project management, RFIs, or submittals. Trigger with phrases like "procore observability", "procore-observability".
Best use case
procore-observability is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Procore observability — construction management platform integration. Use when working with Procore API for project management, RFIs, or submittals. Trigger with phrases like "procore observability", "procore-observability".
Teams using procore-observability 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/procore-observability/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How procore-observability Compares
| Feature / Agent | procore-observability | 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?
Procore observability — construction management platform integration. Use when working with Procore API for project management, RFIs, or submittals. Trigger with phrases like "procore observability", "procore-observability".
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
# Procore Observability
## Overview
Implementation patterns for Procore observability using the REST API with OAuth2 authentication.
## Prerequisites
- Completed `procore-install-auth` setup
## Instructions
### Step 1: API Call Pattern
```python
import os, requests
token_resp = requests.post("https://login.procore.com/oauth/token", data={
"grant_type": "client_credentials",
"client_id": os.environ["PROCORE_CLIENT_ID"],
"client_secret": os.environ["PROCORE_CLIENT_SECRET"],
})
access_token = token_resp.json()["access_token"]
headers = {"Authorization": f"Bearer {access_token}"}
companies = requests.get("https://api.procore.com/rest/v1.0/companies", headers=headers)
print(f"Companies: {len(companies.json())}")
```
## Output
- Procore API integration for observability
## Error Handling
| Error | Cause | Solution |
|-------|-------|----------|
| 401 Unauthorized | Expired token | Re-authenticate |
| 429 Rate Limited | Too many requests | Implement backoff |
| 403 Forbidden | Insufficient permissions | Check project role |
## Resources
- [Procore Developers](https://developers.procore.com/)
- [REST API Reference](https://developers.procore.com/reference/rest)
## Next Steps
See related Procore skills for more workflows.Related Skills
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