geo-infer-pep
Public engagement platform for geospatial projects. Use when building CRM for spatial stakeholders, managing public consultations, tracking community engagement with geographic planning, or running participation analytics.
Best use case
geo-infer-pep is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Public engagement platform for geospatial projects. Use when building CRM for spatial stakeholders, managing public consultations, tracking community engagement with geographic planning, or running participation analytics.
Teams using geo-infer-pep 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/GEO-INFER-PEP/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How geo-infer-pep Compares
| Feature / Agent | geo-infer-pep | 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?
Public engagement platform for geospatial projects. Use when building CRM for spatial stakeholders, managing public consultations, tracking community engagement with geographic planning, or running participation analytics.
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.
SKILL.md Source
# GEO-INFER-PEP
## Instructions
### Core Capabilities
- **Stakeholder CRM**: Contact management with spatial context and engagement history
- **Consultation tracking**: Public hearing management, comment collection, sentiment analysis
- **Engagement analytics**: Participation metrics by geography, demographics, time
- **Campaign management**: Multi-channel outreach with spatial targeting
- **Notification**: Geographic notification delivery with audience segmentation
### Key Imports
```python
from geo_infer_pep.core.engagement import EngagementPlatform
from geo_infer_pep.core.crm import StakeholderCRM
from geo_infer_pep.core.analytics import EngagementAnalytics
from geo_infer_pep.api.crm_endpoints import CRMRouter
```
## Examples
```python
from geo_infer_pep.core.crm import StakeholderCRM
crm = StakeholderCRM()
crm.add_contact("Jane Doe", location=(45.5, -122.6), interests=["parks", "transit"])
nearby = crm.find_stakeholders(center=(45.5, -122.6), radius_km=5)
report = crm.engagement_report(period="2026-Q1")
```
## Guidelines
- CRM endpoints TODO converted to roadmap note for v0.4.0
### Integrations
- Integrates with COMMS for multi-channel notification delivery
- Integrates with CIV for participatory engagement workflows
- Test: `uv run python -m pytest GEO-INFER-PEP/tests/ -v`