feat: bundle desktop skills
This commit is contained in:
@@ -0,0 +1,32 @@
|
||||
---
|
||||
name: cad-ai-agent
|
||||
description: CAD/DXF drawing intelligence workflow for summaries, compliance checks, quantity takeoffs, RFIs, health reports, revision comparison, and safe structured edit planning.
|
||||
---
|
||||
|
||||
# CAD AI Agent Skill
|
||||
|
||||
Use this skill when a user asks for CAD/DXF drawing intelligence: summaries, compliance checks, quantity takeoffs, RFIs, health reports, revision comparison, or safe edit planning.
|
||||
|
||||
Upstream project: https://github.com/jeremylongshore/cad-ai-agent
|
||||
|
||||
## Setup
|
||||
|
||||
Clone and install the upstream project when the user wants to run the full local pipeline:
|
||||
|
||||
```bash
|
||||
git clone https://github.com/jeremylongshore/cad-ai-agent.git
|
||||
cd cad-ai-agent
|
||||
python -m venv .venv
|
||||
source .venv/bin/activate
|
||||
pip install -e ".[dev]"
|
||||
```
|
||||
|
||||
## Workflow
|
||||
|
||||
1. Identify the drawing format: DXF is directly supported by the upstream project; DWG/PDF may need conversion or a different inspection pipeline.
|
||||
2. Ask what the user wants: summarize, edit, compare, query, generate documentation, compliance, coordination, estimation, or quality.
|
||||
3. Preserve originals. Prefer save-as outputs and structured reports.
|
||||
4. For edits, produce structured operation plans rather than modifying raw CAD data directly.
|
||||
5. For analysis, return layer/entity summaries, issues, measurements, and concrete next actions.
|
||||
|
||||
This bundled skill is a BoosAPI Desktop wrapper around the upstream project and keeps CAD operations explicit and reversible.
|
||||
Reference in New Issue
Block a user