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SkillsMP hat 6 Skills aus Cuki2910/M2G-NET gesammelt. Öffne einen Skill, um Quelle und Details zu prüfen.
Es werden 6 von 6 gesammelten Skills angezeigt.
Standardized M2G-NET experiment pipeline: data check → train → evaluate → save results to docs/. Use when running training, ablation, baseline comparison, gate stability, or any multi-phase experiment on M2G-NET.
Quellsprache: Englisch
Spawn an isolated math-checker subagent to independently verify that src/ code matches docs/MATHEMATICAL_FORMULAS.md. Use after any edit to fusion.py, model.py, interaction.py, or loss.py.
Quellsprache: Englisch
Validate that M2G-NET code (src/fusion.py, src/model.py, src/interaction.py) matches the documented math in docs/MATHEMATICAL_FORMULAS.md. Use whenever editing model architecture, loss, gate computation, calibration, or metrics.
Quellsprache: Englisch
Spawn an isolated result-analyst subagent to read docs/ and outputs/ and produce a structured experiment summary with metric tables, key findings, and next-step recommendations.
Quellsprache: Englisch
Rate-limit-resilient pipeline with checkpoint/resume for long multi-phase sessions. Saves progress to .claude/pipeline-state.json after each phase. Use when starting a complex multi-phase task that risks hitting rate limits, when resuming an interrupted…
Quellsprache: Englisch
Act as the world's most rigorous scientific editor for transportation and green transition research. Use this skill when the user asks for critical review, peer review feedback, manuscript critique, methodology assessment, or wants to improve scientific…
Quellsprache: Englisch