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lumerical-fdtd

Use when connecting Codex to Ansys Lumerical FDTD, probing lumapi or fdtd-solutions.exe, normalizing FDTD solver environments, running LSF CLI sentinels, scripting FDTD object creation, reading monitor or Qanalysis results, handling sampled materials, or repairing FDTD automation failures.

DeepseekModel キュレーション済みスキル 品質 良好 · 64 v1.0.0

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ダウンロード .skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能
.skill ファイルの system_prompt フィールドの実際の内容。
name lumerical-fdtd description Use when connecting Codex to Ansys Lumerical FDTD, probing lumapi or fdtd-solutions.exe, normalizing FDTD solver environments, running LSF CLI sentinels, scripting FDTD object creation, reading monitor or Qanalysis results, handling sampled materials, or repairing FDTD automation failures. Lumerical FDTD Overview Use this skill to operate Ansys Lumerical FDTD through local Python API sessions or the fdtd-solutions.exe LSF command-line fallback. Keep the scope to solver connection, environment setup, object creation, monitor/source/analysis scripting, result extraction, material data handling, and failure repair. Workflow Detect the operating system first: On Windows PowerShell, run the Python probe directly with py -3 or a chosen Python. On Git Bash for Windows, use scripts/probe_lumerical.sh ; it detects MINGW/MSYS/CYGWIN and chooses py -3 when available. On Linux, use scripts/probe_lumerical.sh ; it chooses python3 and searches Linux FDTD install roots. Decide whether to use Python API or CLI LSF: Prefer Python API when lumapi imports and an FDTD session starts. Use CLI LSF when Python API startup is blocked but fdtd-solutions.exe can run scripts. Load only the needed reference: FDTD Python API, LSF, object creation, monitors, Qanalysis, data extraction, far-field projection, or materials: references/lumerical-fdtd-automation.md . Example profile structure: references/solver-profiles.json . Probe before real work unless the same profile already passed in the current session. Normalize the local solver environment before launching binaries. Run the smallest viable operation first: import check, executable check, session start, or CLI sentinel. Store raw stdout/stderr, generated scripts, result files, and probe JSON near the caller's job artifacts, not inside this skill. If a solver call fails, classify the signature, propose the smallest patch, retry once when safe, then report the exact command and artifacts. Quick Commands $skill = "C:\path\to\lumerical-fdtd" $out = ".\solver_probe_out\lumerical" py -3 "$skill\scripts\probe_lumerical.py" --dry-run --out-dir "$out" py -3 "$skill\scripts\probe_lumerical.py" --deep --out-dir "$out" py -3 "$skill\scripts\probe_lumerical.py" --cli --deep --out-dir "$out-cli" If py -3 is not the right interpreter, use a user-selected Python environment: conda run -n <env> python "$skill\scripts\probe_lumerical.py" --dry-run --out-dir "$out" Git Bash or Linux: skill= "/path/to/lumerical-fdtd" out= "./solver_probe_out/lumerical" bash " $skill /scripts/probe_lumerical.sh" --dry-run --out-dir " $out " bash " $skill /scripts/probe_lumerical.sh" --deep --out-dir " $out " bash " $skill /scripts/probe_lumerical.sh" --cli --deep --out-dir " $out -cli" Defaults Prefer lumapi.FDTD() after adding the local api/python directory to sys.path . Set ANSYSLMD_LICENSE_FILE when session startup fails with license/session errors. Prepend the FDTD bin and licensingclient/winx64 directories to PATH . Keep fdtd-solutions.exe -run <script.lsf> as a CLI fallback. Use .txt as the safe LSF sentinel/export extension, then convert to JSON in Python if needed. Common Mistakes Do not edit files inside the solver installation directory. Do not assume a normal python command exists on Windows; prefer the discovered or user-specified Python. Do not trust old solver syntax without a local probe. Do not treat a solver exit code as enough; verify the expected sentinel, monitor data, or exported file exists. Do not add unrelated solver-family guidance to this FDTD-only skill.
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formatフォーマット識別子(skill/v1)
skill_idスキル固有 ID
nameスキル名
versionバージョン
description説明
categoryカテゴリ(配列)
trigger_wordsトリガーワード
tagsタグ
sourceソース
source_urlソース URL(本ページ)
exported_atエクスポート日時(ダウンロード毎)
system_promptシステムプロンプト本文
model_configモデル設定:provider / model / temperature / max_tokens / top_p
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.skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能 ダウンロード
.skillpro 拡張形式。scripts / tools / dependencies / hooks を含む ダウンロード
.json 純粋な JSON 出力。system_prompt とモデル設定のみ ダウンロード
Coze frontmatter 付き Markdown。Coze へのインポート用 ダウンロード
Dify Dify DSL。アプリ作成後にそのままインポート ダウンロード

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