本文へ移動
cccskills
無料GitHub で公開

catgo-campaign

Run a CatGo file-first md-orchestration "campaign" — a multi-step / high-throughput computational-materials study (e.g. SAA HER screening) driven from a human-readable folder + markdown tree, not the DB workflow engine. Use when the user says "跑一个 campaign", "md 模式跑", "high-throughput screening", or wants an agent-in-the-loop study with stages/funnel/analysis/report. Requires `catgo` on PATH.

日本語の概要は準備中です。原文の説明を表示しています。

Hello-QM/catgo-LRGスター 208(GitHub 208 + cccskills 0)

実行スコア 未検証

インストール方法を見る

含まれるファイル(1)

  • SKILL.md4.1 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

catgo-campaign — run a file-first computational campaign

A "campaign" = a coordinated multi-step study (many calculations → analysis → report) toward one research goal. This skill drives it via the portable catgo campaign CLI, which dispatches to CatGo's campaign reference scripts.

Launcher (works from any directory)

Run via the catgo CLI:

catgo campaign <action> ...

With an editable install (pip install -e <repo>/server) the CLI reflects the LIVE repo source, so edits to the campaign scripts/SKILL take effect immediately, no reinstall. If catgo is not on PATH (env not activated), use the entry point inside its python env directly: <env-prefix>/bin/catgo campaign .... In the steps below, catgo campaign means that launcher.

Before anything: confirm the environment (NEVER guess)

Ask the user and record in cluster.md: which cluster + SSH host/account + partition/walltime/ntasks, the compute binary + load method (module/conda/full path + run command), the POTCAR/pseudopotential root, the python env, and the remote base dir. The user may give a reference job script (local or a path on the cluster — pull it with catgo campaign fetch-ref). catgo campaign submit REFUSES until cluster.md is complete. A wrong path fails every job — if unsure, STOP and ask.

Steps

  1. Scaffold at the user's chosen location: catgo campaign new /path/to/Project --name "<name>" --template saa_her|blank

  2. Plan — ASK the user: brainstorm the plan together (literature-grounded, one question at a time, propose approaches) OR use the template / generate directly.

  3. Reference script (optional): catgo campaign fetch-ref --project <dir> --ssh <alias> --remote_path <.sb>

  4. Per calc: build inputs into the LOCAL calc folder, then the input-file gate (below), then catgo campaign submit --project <dir> --calc calc/<stage>/<candidate> --ssh <alias> (skip the gate only on explicit YOLO opt-in).

    ⛔ INPUT-FILE GATE (hard rule — catgo-campaign + autochem). Before ANY submit (and after a calc converges, before building the NEXT step's inputs): sync the CONTCAR and the INCAR to the LOCAL campaign folder, and tell the user the exact LOCAL file paths of the INCAR + CONTCAR. The user reviews / edits / confirms the files THEMSELVES on disk. Submit ONLY after the user explicitly confirms. Do NOT push structures to the CatGO viewer as a substitute for local-file review of inputs, and NEVER auto-submit. (Waived only by explicit YOLO.)

  5. Loop (~10 min, user-triggered): catgo campaign poll --project <dir> --ssh <alias> marks DONE/FAILED via squeue→sacct. A scheduler DONE != converged — open the work_dir outputs to confirm, write numbers into the calc's result.md, log gotchas in LESSONS.md.

  6. At a stage / decision point: catgo campaign aggregate --project <dir> --plot (ranking / volcano / funnel), then checkpoint with the user.

  7. Report: catgo campaign report --project <dir> --occasion groupmeeting

  8. Literature: catgo campaign ingest --project <dir> --pdf <p.pdf> (MinerU) or --repo <url> --purpose "…".

  9. Archive (clean the tree, never auto-decide): catgo campaign archive --project <dir> --list proposes FAILED calcs (funnel rejects are kept as data); move one only on the user's explicit OK: catgo campaign archive --project <dir> --calc calc/<stage>/<name> --reason "…".

Notes

  • Default to a review gate (user-in-the-loop); only auto-advance on explicit opt-in.
  • Full conventions live in the in-repo skill server/catgo/workflow/skills/campaign/SKILL.md (read it for the folder layout, progressive-md rules, two-level plan, gate details).

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

コメント

ログインなしで書き込めます。使ってみた感想、質問、動かなかった環境などを気軽にどうぞ。

まだコメントはありません。最初のコメントを書いてみませんか。

送信するとすぐに公開されます。メールアドレスや電話番号などの個人情報は書かないでください。URL は 2 つまでです。

0 / 1000 文字

このフォームは reCAPTCHA で保護されており、Google のプライバシーポリシーと利用規約が適用されます。

同じリポジトリのスキル

abinit

無料

Generate and manage ABINIT DFT calculations. Use when the user requests ABINIT, or needs DFPT phonons, GW calculations, or BSE optical spectra.

日本語の概要は準備中です。原文の説明を表示しています。

Hello-QM/catgo-LRG2082026年10月23日 更新

Use when the user asks to place an adsorbate molecule on a surface, find adsorption sites, or set up a surface+adsorbate model for DFT.

日本語の概要は準備中です。原文の説明を表示しています。

Hello-QM/catgo-LRG2082026年10月23日 更新

Use when the user asks for adsorption energy, binding energy, or wants to compare how strongly a molecule binds to a surface.

日本語の概要は準備中です。原文の説明を表示しています。

Hello-QM/catgo-LRG2082026年10月23日 更新

Use when the user asks to analyze computational results: Gibbs free energy, OER/HER/CO2RR overpotentials, adsorption energy, convergence tests, DOS/d-band analysis, or Bader charge analysis.

日本語の概要は準備中です。原文の説明を表示しています。

Hello-QM/catgo-LRG2082026年10月23日 更新

Use AmberTools antechamber for molecular force field parameterization. Generates GAFF/GAFF2 parameters and AM1-BCC or RESP charges for use in AMBER or LAMMPS classical MD simulations.

日本語の概要は準備中です。原文の説明を表示しています。

Hello-QM/catgo-LRG2082026年10月23日 更新

atom-ops

無料

One-shot recipes for adding, deleting, moving, and replacing individual atoms in the active CatGo viewer structure. Use whenever the user asks to "add an atom", "delete atoms", "remove this atom", "move atom N", "replace H with Li", or any single-atom edit — including "add a hydrogen on top of atom 12" / "delete atoms 5–9" / "swap the oxygen at site 3 for fluorine". Skips the discovery loop (no need to list structure tools or check adsorption sites first); goes straight to the matching `catgo_structure` action. Triggers in Chinese on 加原子, 删原子, 减原子, 移动原子, 替换原子, 增加氢, 删除氧, 把 ... 换成 ....

日本語の概要は準備中です。原文の説明を表示しています。

Hello-QM/catgo-LRG2082026年10月23日 更新

Hello-QM のスキルをすべて見る

このスキルの問題を報告する