firm-location-pack
⚠️ Contenu généré par IA — validation humaine requise avant utilisation.
Purpose
Provides a complete location strategy and site selection toolkit for the firm.
Enables structured geo-economic analysis, real estate market intelligence,
multi-criteria site scoring, tax incentive identification, and total cost of
occupation simulation over 3-5 years.
Designed to produce professional documents readable by every department:
CEO (strategic location decisions), CFO (TCO projections), HR (talent pool analysis),
Legal Status (territorial tax implications), Operations (logistics and infrastructure).
Tools (5)
| Tool |
Description |
Category |
openclaw_location_geo_analysis |
Geo-economic analysis — talent pools, transport, ecosystem, quality of life |
strategy |
openclaw_location_real_estate |
Real estate market intelligence — availability, pricing, trends by zone |
real_estate |
openclaw_location_site_score |
Multi-criteria site scoring (20+ criteria) with weighted comparison matrix |
strategy |
openclaw_location_incentives |
Tax incentives and aid programs by territory — ZFU, ZRR, BPI, FEDER |
finance |
openclaw_location_tco_simulate |
Total Cost of Occupation simulation over 3-5 years |
finance |
Usage
skills:
- firm-location-pack
# Geo-economic analysis of candidate cities:
openclaw_location_geo_analysis cities='["Paris 13e","Lyon Part-Dieu","Nantes"]' sector="tech" headcount=30
# Real estate search:
openclaw_location_real_estate zone="Île-de-France" property_type="bureau" surface_min=200 budget_max=6000
# Multi-criteria scoring:
openclaw_location_site_score sites='["Saint-Denis","Montreuil","Ivry"]' weights='{"transport":15,"talent":15,"price":20}'
# Tax incentives lookup:
openclaw_location_incentives zone="Saint-Denis Pleyel" company_type="startup" headcount=15
# TCO simulation:
openclaw_location_tco_simulate sites='["Paris 13e","Saint-Denis","Nantes"]' surface=250 horizon_years=3
Cross-Department Integration
| Department |
What they get |
Tool |
| CEO |
Site scoring matrix and strategic recommendation |
site_score |
| CFO |
TCO simulations and incentive impact |
tco_simulate + incentives |
| HR |
Talent pool analysis and quality of life data |
geo_analysis |
| Legal Status |
Territorial tax implications |
incentives |
| Operations |
Transport and infrastructure assessment |
geo_analysis |
Requirements
mcp-openclaw-extensions >= 3.2.0
1---2name: firm-location-pack3description: Location strategy and site selection pack. Geo-economic analysis, real estate intelligence, site scoring, tax incentive optimization, and TCO simulation. 5 location tools.4license: MIT5---6
7# firm-location-pack
8
9> ⚠️ Contenu généré par IA — validation humaine requise avant utilisation.
10
11## Purpose
12
13Provides a complete location strategy and site selection toolkit for the firm.
14Enables structured geo-economic analysis, real estate market intelligence,
15multi-criteria site scoring, tax incentive identification, and total cost of
16occupation simulation over 3-5 years.
17
18Designed to produce professional documents readable by every department:
19CEO (strategic location decisions), CFO (TCO projections), HR (talent pool analysis),
20Legal Status (territorial tax implications), Operations (logistics and infrastructure).
21
22## Tools (5)
23
24| Tool | Description | Category |
25|------|-------------|----------|
26| `openclaw_location_geo_analysis` | Geo-economic analysis — talent pools, transport, ecosystem, quality of life | strategy |
27| `openclaw_location_real_estate` | Real estate market intelligence — availability, pricing, trends by zone | real_estate |
28| `openclaw_location_site_score` | Multi-criteria site scoring (20+ criteria) with weighted comparison matrix | strategy |
29| `openclaw_location_incentives` | Tax incentives and aid programs by territory — ZFU, ZRR, BPI, FEDER | finance |
30| `openclaw_location_tco_simulate` | Total Cost of Occupation simulation over 3-5 years | finance |
31
32## Usage
33
34```yaml
35skills:
36 - firm-location-pack
37
38# Geo-economic analysis of candidate cities:
39openclaw_location_geo_analysis cities='["Paris 13e","Lyon Part-Dieu","Nantes"]' sector="tech" headcount=30
40
41# Real estate search:
42openclaw_location_real_estate zone="Île-de-France" property_type="bureau" surface_min=200 budget_max=6000
43
44# Multi-criteria scoring:
45openclaw_location_site_score sites='["Saint-Denis","Montreuil","Ivry"]' weights='{"transport":15,"talent":15,"price":20}'
46
47# Tax incentives lookup:
48openclaw_location_incentives zone="Saint-Denis Pleyel" company_type="startup" headcount=15
49
50# TCO simulation:
51openclaw_location_tco_simulate sites='["Paris 13e","Saint-Denis","Nantes"]' surface=250 horizon_years=3
52```
53
54## Cross-Department Integration
55
56| Department | What they get | Tool |
57|------------|--------------|------|
58| **CEO** | Site scoring matrix and strategic recommendation | `site_score` |
59| **CFO** | TCO simulations and incentive impact | `tco_simulate` + `incentives` |
60| **HR** | Talent pool analysis and quality of life data | `geo_analysis` |
61| **Legal Status** | Territorial tax implications | `incentives` |
62| **Operations** | Transport and infrastructure assessment | `geo_analysis` |
63
64## Requirements
65
66- `mcp-openclaw-extensions >= 3.2.0`
modbender