prepare-fusion-manufacturing
Prepare qualified Fusion CAM setups, operations, toolpaths and quarantined NC candidates using explicit manufacturing assets and authority. Never controls physical equipment.
- License 许可
- Apache-2.0
- 最近更新
- 2026-11-11
- Stars
- ★ 21
- Forks
- 15
01 前言 Front Matter
- name
- prepare-fusion-manufacturing
- description
- Prepare qualified Fusion CAM setups, operations, toolpaths and quarantined NC candidates using explicit manufacturing assets and authority. Never controls physical equipment.
02 资源文件 5
- 参考文档agents/openai.yaml230 B
- 参考文档GLOSSARY-FORMAT.md2.1 KB
- 参考文档LEARNING-RECORD-FORMAT.md2.7 KB
- 参考文档MISSION-FORMAT.md1.5 KB
- 参考文档RESOURCES-FORMAT.md1.9 KB
03 SKILL.md 正文
Inspect CAM and discover cam.setup_schema / cam.operation_schema. A compatible strategy is not entitlement proof. Use individually qualified variants.
Resolve stock, fixtures, WCS axes/origin, clearance, feeds/speeds, machine and units from approved inputs. Do not infer safety fields from hidden defaults. Select full tool/holder hashes using cam.tools_list; templates, libraries, posts and machines are reviewed privileged assets.
Prepare changes with fusion_cam_changes_prepare, execute within scope, then explicitly generate toolpaths and poll the durable job. Inspect actual operation validity and results. Generation is not collision verification; unsupported cancellation remains unsupported.
Machining-time calls require explicit rapid/feed/tool-change assumptions and return estimates. Setup sheets are review artifacts.
NC requires exact operation order, pinned post/machine/full tooling, and an unexpired operator verification record bound to current state. Use fusion_nc_prepare and fusion_nc_generate; changed inputs invalidate review. Keep Fail/duplicate-tool safeguards and quarantine. Never transfer/start equipment or claim a launched UI proves collision safety. See enterprise boundaries.
04 同仓库更多 Skills
recommend-review-reference-architecture
Recommend a conservative shadow-only review reference architecture from valid offline evidence. Use only when the user explicitly asks for a reference-architecture recommendation or uses the bundled synthetic fixture.
normalize-review-runs
Validate and normalize declared local review-run exports into a bounded canonical summary. Use only when the user explicitly asks to normalize review runs or use the bundled synthetic fixture.
benchmark-review-configs
Deterministically score comparable imported review-run lanes with root-cause metrics and uncertainty. Use only when the user explicitly asks to benchmark normalized local review runs or use the bundled synthetic fixture.
audit-review-eval-validity
Audit whether a declared local review evaluation can support fair quality claims. Use only when the user explicitly asks to audit review-eval validity or use the bundled synthetic fixture.
verify-swiftui-parity
Verify one approved SwiftUI feature slice against its behavioral parity contract with deterministic and conditional Apple-platform checks.
port-react-native-slice
Port one explicitly approved React Native or Expo feature slice into a declared SwiftUI target while preserving its parity contract.