القائمة
Sub-skill of orcaflex-static-debug: Execution for Debugging.
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اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
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npx skills add https://github.com/vamseeachanta/workspace-hub --skill orcaflex-static-debug-execution-for-debuggingيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
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Write outbound email and external messages in Vamsee Achanta's voice — a subtle offer to help, never bold or rash claims. Load before drafting ANY email, LinkedIn/Collide reply, proposal note, or outreach sent under his name.
Save/publish analysis or computation results from ANY ecosystem repo to Hugging Face as a queryable, viewer-renderable dataset. Use when the user wants to "save results to hugging face", "publish dataset to HF", "hugging face data saving", "save analysis results", "hf dataset", "make results queryable", or "render via datasets-server API". Reshapes nested results into flat parquet tables, writes a dataset card with a viewer `configs:` block and provenance, applies license/public-vs-private routing, enforces a domain data-quality gate (faithful-to-source != correct), publishes to `aceengineer/<repo>-<projection>`, and verifies via the datasets-server API.
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عرض SKILL.md
استنادا إلى تصنيف SOC المهني
| name | orcaflex-static-debug-execution-for-debugging |
| description | Sub-skill of orcaflex-static-debug: Execution for Debugging. |
| version | 1.0.0 |
| category | engineering |
| type | reference |
| scripts_exempt | true |
import OrcFxAPI
# Progressive solver settings for convergence hunting
def find_convergence_settings(model_path):
"""Try progressively relaxed solver settings."""
model = OrcFxAPI.Model()
model.LoadData(model_path)
settings = [
{"damping": 10, "tolerance": 1e-5, "max_iter": 100},
{"damping": 50, "tolerance": 1e-4, "max_iter": 200},
{"damping": 100, "tolerance": 1e-3, "max_iter": 500},
{"damping": 200, "tolerance": 1e-2, "max_iter": 1000},
]
for s in settings:
model.general.StaticsDamping = s["damping"]
model.general.StaticsTolerance = s["tolerance"]
model.general.StaticsMaxIterations = s["max_iter"]
try:
model.CalculateStatics()
return {"converged": True, "settings": s}
except OrcFxAPI.OrcaFlexError:
continue
return {"converged": False, "settings": None}