ifc-model-analyzer
IFC model analysis skill for validation, property extraction, and model comparison
npx skills add a5c-ai/babysitter --skill ifc-model-analyzer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# IFC Model Analyzer Skill ## Purpose The IFC Model Analyzer Skill analyzes IFC format BIM models for schema validation, property extraction, quantity takeoff, and model comparison. ## Capabilities - IFC schema validation - Property set extraction - Quantity takeoff - Model comparison (diff) - Element classification - Coordinate system analysis - LOD assessment - Data quality checking ## Usage Guidelines ### When to Use - Validating IFC exports - Extracting model data - Comparing model versions - Checking data quality ### Prerequisites - IFC file available - Schema version identified - Extraction requirements defined - Comparison baseline established ### Best Practices - Validate schema compliance - Check coordinate systems - Verify property mapping - Document model assumptions ## Process Integration This skill integrates with: - BIM Coordination - Structural Peer Review ## Configuration ```yaml ifc-model-analyzer: analysis-types: - validation - extraction - comparison - quality-check ifc-versions: - IFC2x3 - IFC4 - IFC4.3 outputs: - report - json - csv ``` ## Output Artifacts - Validation reports - Property extractions - Model comparisons - Quality assessments
- Purpose
- Capabilities
- Usage Guidelines
- When to Use
- Prerequisites
- Best Practices
- Process Integration
- Configuration
- Output Artifacts
What does the ifc-model-analyzer skill do?
IFC model analysis skill for validation, property extraction, and model comparison
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill ifc-model-analyzer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.