Provides intelligent CAM (Computer-Aided Manufacturing) assistance for Fusion 360 by analyzing part geometry to suggest optimal machining strategies, stock setup, and toolpath operations. Uses Fusion's native RecognizedHole and RecognizedPocket APIs to detect machinable features with confidence scoring, classifies slots vs pockets using aspect ratio heuristics, and groups features by machining priority. Includes SQLite-based preference learning that improves recommendations over time, orientation analysis with setup sequences, minimum tool radius calculations, and feeds/speeds suggestions based on material properties and industry formulas.
Cognium trust score
50%
Tier
Unverified
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
Returns 7 tools: search_skills, get_skill, list_leaderboard, get_trust_breakdown, resolve_composition, plus the ChatGPT-connector search and fetch. Every tool is annotated read-only.
Resolve this skill directly via MCP tools/call get_skill.