Agent skill

Catgo Build Workflow

by Hello-QM in Hello-QM/catgo-LRG

One-shot CatGo DAG workflow construction. An agent skill from Hello-QM/catgo-LRG.

AGPL-3.0Auto-check passed

Install Catgo Build Workflow

skills CLI
$ npx skills add Hello-QM/catgo-LRG --skill catgo-build-workflow -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Hello-QM/catgo-LRG catgo-build-workflow --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Hello-QM/catgo-LRG.git skills-src && mkdir -p .claude/skills && cp -r skills-src/server/catgo/workflow/skills/workflow_builder .claude/skills/catgo-build-workflow && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
catgo-build-workflow
GitHub stars
205
Token cost
~3.1k tokens
SKILL.md length
1,102 words
Files
1
Skills in repo
75
Repo updated
First seen
Licence
AGPL-3.0

At a glance

One-shot CatGo DAG workflow construction. An agent skill from Hello-QM/catgo-LRG.

  • Works in 5 steps: For stock HER/OER/ORR/NRR/CO2RR… → Pick a recipe from the "Recipes" section… → Call catgo_workflow with… → …
  • The user asks to create a workflow
  • SKILL.md covers Iron rule: every…, Clean-slab invariant, When to use this skill and The fast path, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Catgo Build Workflow is an agent skill from Hello-QM/catgo-LRG. One-shot CatGo DAG workflow construction. Use whenever the user asks to "create a workflow", "build a pipeline", "set up CO2RR/OER/HER/NEB/DOS/slow-growth", "make a workflow for X reaction", or any catalysis pipeline involving structureinput → calculation → analysis. Skips the exploration phase (avoids listing nodetypes / templates / nodedetails repeatedly) and goes straight to a single catgoworkflow create + batch round-trip with the full graphjson. Triggers in Chinese on 创建工作流, 建立工作流, 工作流, 计算流, 反应路径, 自由能图.

Its SKILL.md is about 3.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: AI-driven workbench for computational materials science — interactive 3D structure viewer, natural-language CatBot assistant, visual DAG workflow engine, HPC job submission… The licence is AGPL-3.0.

When your agent uses it

  • The user asks to create a workflow
  • Build a pipeline
  • Set up CO2RR/OER/HER/NEB/DOS/slow-growth
  • Make a workflow for X reaction

Example prompts

  • “create a workflow”
  • “build a pipeline”
  • “set up CO2RR/OER/HER/NEB/DOS/slow-growth”
  • “/catgo-build-workflow”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. For stock HER/OER/ORR/NRR/CO2RR workflows, call catgo_quickbuild and stop; its server-side recipes enforce the clean-slab invariant. Use…
  2. Pick a recipe from the "Recipes" section below — or assemble one from the node-type table — and prepare the graph_json payload.
  3. Call catgo_workflow with action="create", name="", template_id only if you genuinely want the backend's stock template (most of the time…
  4. Immediately call catgo_workflow with action="batch" and an operations array carrying every add_node + connect step in one round-trip. Do…
  5. Confirm with one short sentence ("Built '': N nodes, M edges. Open the Workflow tab to inspect."). Do not list every node — the user can…

What it can do on your machine

Read from SKILL.md and the folder at commit fd6291b. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are json).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Catgo Build Workflow loads about 3.1k tokens when it runs. Until then it costs about 136 tokens; SKILL.md has 1,102 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~136
When it runs · the whole SKILL.md, loaded when a task matches
~3.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Hello-QM/catgo-LRG at commit fd6291b, republished under its AGPL-3.0 licence (© Hello-QM). 1,102 words, ~3,124 tokens.

Download SKILL.mdSave it as .claude/skills/catgo-build-workflow/SKILL.md (or your agent's skills folder).
name
catgo-build-workflow
description
One-shot CatGo DAG workflow construction. Use whenever the user asks to "create a workflow", "build a pipeline", "set up CO2RR/OER/HER/NEB/DOS/slow-growth", "make a workflow for X reaction", or any catalysis pipeline involving structure_input → calculation → analysis. Skips the exploration phase (avoids listing node_types / templates / node_details repeatedly) and goes straight to a single `catgo_workflow create` + `batch` round-trip with the full graph_json. Triggers in Chinese on 创建工作流, 建立工作流, 工作流, 计算流, 反应路径, 自由能图.

catgo-build-workflow

Tight playbook for assembling a CatGo workflow in one or two MCP round-trips. The default CatBot path explores node_types, node_details, templates, then incrementally adds nodes and edges — that is 8+ MCP calls and the user sees the "Thinking…" indicator for tens of seconds. This skill cuts it to 1–2 calls.

Iron rule: every reaction-mechanism workflow ends in Gibbs free energy

Activities, overpotentials, and barriers reported in catalysis literature are differences in Gibbs free energy at the operating temperature, not DFT electronic energies. So whenever the user asks for a reaction pathway — CO2RR, OER, HER, NRR, ORR, NEB, slow-growth, C–N coupling, anything ending in *RR, anything called "free energy diagram" or "volcano plot" — the workflow must contain a freq node between geo_opt (or md) and free_energy (or the reaction-specific analysis node). Without freq there is no ZPE and no thermal/entropic correction, the resulting numbers cannot be compared to experiment, and the user is silently wrong.

If the user proposes a mechanism workflow without a freq step, add one anyway and tell them one short sentence why ("Inserted a freq step so the ΔG values include ZPE + TS — without it the free-energy diagram is just an electronic-energy diagram"). If they explicitly say "skip freq for now, I just want a quick electronic-energy scan", honour it but flag that the result is not a Gibbs energy.

The freq node must run on the same geometry as the final relaxation it sits after — chaining geo_opt → freq → free_energy keeps the geometries consistent. For adsorbate thermochemistry, use freeze_mode: "adsorbate": freeze the full slab and vibrate only atoms tagged by adsorbate_place.

Clean-slab invariant

Every surface-reaction workflow built from a bulk structure must use structure_input → slab_gen → geo_opt(clean slab) → adsorbate_place. Reuse the same relaxed clean-slab output for every adsorbate branch. Never connect slab_gen directly to adsorbate_place: doing so optimizes only slab+adsorbate states and leaves no consistent relaxed clean-slab reference.

When to use this skill

  • User asks to create, build, set up, or make a workflow.
  • User names a known reaction or pipeline (CO2RR, OER, HER, NRR, NEB, DOS, slow-growth, bulk→slab→adsorbate).
  • User pastes a textual recipe like "structure_input → geo_opt → freq → free_energy".

If the user wants to modify an existing workflow (add a node to one that already exists), prefer a direct catgo_workflow {action:"add_node"} call rather than reloading this skill.

The fast path

  1. For stock HER/OER/ORR/NRR/CO2RR workflows, call catgo_quickbuild and stop; its server-side recipes enforce the clean-slab invariant. Use the manual path below only for custom graphs.
  2. Pick a recipe from the "Recipes" section below — or assemble one from the node-type table — and prepare the graph_json payload.
  3. Call catgo_workflow with action="create", name="<descriptive>", template_id only if you genuinely want the backend's stock template (most of the time you do not, because the recipes here are tighter). Otherwise omit template_id — create will auto-add a structure_input node seeded from the viewer's current structure.
  4. Immediately call catgo_workflow with action="batch" and an operations array carrying every add_node + connect step in one round-trip. Do not call add_node one at a time.
  5. Confirm with one short sentence ("Built '<name>': N nodes, M edges. Open the Workflow tab to inspect."). Do not list every node — the user can see the graph in the editor.

That is the entire happy path. Do not call templates, node_types, node_details, list_presets, or get before creating unless the user explicitly asks "what templates exist?" — those calls only exist for discovery and the recipes below already cover the common cases.

Recipes

Each recipe gives the operations array you pass to batch. The seed structure_input node is already created for you by create; reference it as "si" in from fields. Use stable short IDs (n1, n2, …) for new nodes — these only need to be unique within the workflow.

CO2RR (CO2 reduction on metal slab)
json
[
  {"op":"add_node","id":"opt","type":"geo_opt","x":300,"y":200,"params":{"software":"vasp","encut":520,"ediffg":-0.03}},
  {"op":"add_node","id":"freq","type":"freq","x":520,"y":200,"params":{"software":"vasp","freeze_mode":"adsorbate"}},
  {"op":"add_node","id":"fe","type":"free_energy","x":740,"y":200,"params":{"temperature":298.15,"reference":"CHE"}},
  {"op":"connect","from":"si","to":"opt"},
  {"op":"connect","from":"opt","to":"freq"},
  {"op":"connect","from":"freq","to":"fe"}
]

For multi-intermediate CO2RR (CO2* → COOH* → CO* → CHO* …), duplicate geo_opt + freq per intermediate, all wired to the same free_energy node which aggregates ΔG values.

Show full SKILL.md (455 more words)Show less
OER (4-electron water oxidation)
json
[
  {"op":"add_node","id":"opt","type":"geo_opt","x":300,"y":200,"params":{"software":"vasp","encut":520}},
  {"op":"add_node","id":"freq","type":"freq","x":520,"y":200,"params":{"software":"vasp"}},
  {"op":"add_node","id":"oer","type":"oer_analysis","x":740,"y":200,"params":{"reference":"CHE","pH":0}},
  {"op":"connect","from":"si","to":"opt"},
  {"op":"connect","from":"opt","to":"freq"},
  {"op":"connect","from":"freq","to":"oer"}
]

If the OER analysis node type is not registered, fall back to free_energy and tell the user to flip the analysis mode in the node panel.

HER (hydrogen evolution)
json
[
  {"op":"add_node","id":"opt","type":"geo_opt","x":300,"y":200,"params":{"software":"vasp","encut":520}},
  {"op":"add_node","id":"freq","type":"freq","x":520,"y":200,"params":{"software":"vasp"}},
  {"op":"add_node","id":"fe","type":"free_energy","x":740,"y":200,"params":{"reference":"CHE","target":"H"}},
  {"op":"connect","from":"si","to":"opt"},
  {"op":"connect","from":"opt","to":"freq"},
  {"op":"connect","from":"freq","to":"fe"}
]
NEB / transition state
json
[
  {"op":"add_node","id":"r_opt","type":"geo_opt","x":300,"y":120,"params":{"software":"vasp","label":"reactant"}},
  {"op":"add_node","id":"p_opt","type":"geo_opt","x":300,"y":320,"params":{"software":"vasp","label":"product"}},
  {"op":"add_node","id":"neb","type":"neb","x":540,"y":220,"params":{"software":"vasp","n_images":7,"climbing":true}},
  {"op":"add_node","id":"freq","type":"freq","x":760,"y":220,"params":{"software":"vasp"}},
  {"op":"connect","from":"si","to":"r_opt"},
  {"op":"connect","from":"si","to":"p_opt"},
  {"op":"connect","from":"r_opt","to":"neb","handle":"reactant"},
  {"op":"connect","from":"p_opt","to":"neb","handle":"product"},
  {"op":"connect","from":"neb","to":"freq"}
]

NEB needs two structure_input nodes if reactant and product are different structures. Ask the user before assuming the seed structure is one endpoint. If they confirm two endpoints, add a second structure_input in the operations array and skip the auto-seeded one (or repurpose it as the reactant).

DOS / Band structure
json
[
  {"op":"add_node","id":"opt","type":"geo_opt","x":300,"y":200,"params":{"software":"vasp","encut":520}},
  {"op":"add_node","id":"sp","type":"single_point","x":520,"y":200,"params":{"software":"vasp","encut":520}},
  {"op":"add_node","id":"dos","type":"dos_analysis","x":740,"y":200,"params":{"emin":-10,"emax":5,"d_band_center":true}},
  {"op":"connect","from":"si","to":"opt"},
  {"op":"connect","from":"opt","to":"sp"},
  {"op":"connect","from":"sp","to":"dos"}
]

Add a second single_point for band structure with a denser k-path if the user asks for both.

Slow-growth AIMD (constrained MD with ICONST)
json
[
  {"op":"add_node","id":"opt","type":"geo_opt","x":300,"y":200,"params":{"software":"vasp"}},
  {"op":"add_node","id":"equil","type":"md","x":520,"y":200,"params":{"software":"vasp","ensemble":"nvt","temperature":300,"nsw":2000,"potim":0.5}},
  {"op":"add_node","id":"sg","type":"slow_growth","x":740,"y":200,"params":{"software":"vasp","iconst":"<user-provided>"}},
  {"op":"add_node","id":"barrier","type":"md_analysis","x":960,"y":200,"params":{"mode":"barrier"}},
  {"op":"connect","from":"si","to":"opt"},
  {"op":"connect","from":"opt","to":"equil"},
  {"op":"connect","from":"equil","to":"sg"},
  {"op":"connect","from":"sg","to":"barrier"}
]

The iconst template depends on the reaction coordinate — for C–N coupling use R 1 2 0 (where 1 and 2 are the atom indices and the trailing 0 increments per step). Confirm the indices with the user before submitting.

Bulk → Slab → Adsorbate
json
[
  {"op":"add_node","label":"bulk_opt","node_type":"cell_opt","params":{"software":"vasp","encut":520}},
  {"op":"add_node","label":"slab","node_type":"slab_gen","params":{"miller":"1,1,1","layers":4,"vacuum":15}},
  {"op":"add_node","label":"slab_opt","node_type":"geo_opt","params":{"software":"vasp","frozen_layers":2}},
  {"op":"add_node","label":"ads","node_type":"adsorbate_place","params":{"species":"CO","site":"ontop"}},
  {"op":"add_node","label":"ads_opt","node_type":"geo_opt","params":{"software":"vasp","frozen_layers":2}},
  {"op":"connect","from_id":"si","to_id":"bulk_opt"},
  {"op":"connect","from_id":"bulk_opt","to_id":"slab"},
  {"op":"connect","from_id":"slab","to_id":"slab_opt"},
  {"op":"connect","from_id":"slab_opt","to_id":"ads"},
  {"op":"connect","from_id":"ads","to_id":"ads_opt"}
]

Node-type cheat sheet

When the user asks for something not in the recipes above, you can usually compose it from these node types. Do not call node_types to refresh this list unless the user reports a node-type error.

TypePurposeCommon params
structure_inputSeed structure (POSCAR/CIF/MP-ID)mp_id, structure_json
cell_optCell + ion relaxation (ISIF=3)software, encut, ediffg
geo_optIon-only relaxation (ISIF=2)software, encut, ediffg, frozen_layers
single_pointStatic SCFsoftware, encut, ismear
mdMolecular dynamicsensemble, temperature, nsw, potim
slow_growthConstrained AIMD via ICONSTiconst, nsw
freqVibrational frequenciesfreeze_mode, freeze_layers
nebNEB / CI-NEB TS searchn_images, climbing
ts_searchSella / DIMER TSsoftware, mode
slab_genCut slab from bulkmiller, layers, vacuum, supercell
adsorbate_placePlace adsorbate on slabspecies, site, height
dos_analysisDOS / PDOS / d-bandemin, emax, d_band_center
free_energyΔG with ZPE + TS correctionstemperature, reference, target
md_analysisRDF / MSD / barrier from trajectorymode, pairs
conditionIf/else branchingexpression
loopIterate over a listvariable, values
mergeBarrier / join branches—

When to deviate

  • If the user asks for an obscure pipeline ("slab convergence sweep across layer counts 3, 4, 5, 6"), you still build it in one batch call — just use a loop node with variable=layers and values=[3,4,5,6].
  • If a node type errors as unknown, then and only then call catgo_workflow {action:"node_types"} to refresh the catalogue. Don't preemptively check.
  • If the user explicitly asks for a stock backend template, call templates first to look up the template_id and pass it to create.

What to tell the user when done

One sentence. State the workflow name, node count, and that the workflow is open in the editor for inspection. Do not dump the operations array, the graph_json, or per-node parameter lists — the editor visualises all of that. Example:

Built "CO2RR on Cu(100)": 4 nodes, 3 edges. Opened in the Workflow tab — review and click ▶ Run when ready.

© Hello-QM, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in server/catgo/workflow/skills/workflow_builder of Hello-QM/catgo-LRG.

Open the folder on GitHubat commit fd6291b

Compare with similar skills

Catgo Build Workflow next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Catgo Build Workflow compared with similar skills
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Catgo Build Workflow this skillHello-QM/catgo-LRG205—~3.1kAutomated safety check: PassAGPL-3.0
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Nexrad Mosaic Constructionsickn33/agentic-awesome-skills47k1 repos~3.1kAutomated safety check: PassMIT
Agent Harness Constructionaffaan-m/ECC276k2 repos~222Automated safety check: PassMIT
Agent Harness Constructionaffaan-m/ECC276k—~297Automated safety check: PassMIT
Airflow DAG Patternswshobson/agents40k9 repos~784Automated safety check: PassMIT

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Questions about Catgo Build Workflow

What does Catgo Build Workflow do?

One-shot CatGo DAG workflow construction. An agent skill from Hello-QM/catgo-LRG. Catgo Build Workflow is an agent skill from Hello-QM/catgo-LRG. One-shot CatGo DAG workflow construction.

When should I use Catgo Build Workflow?

Catgo Build Workflow fits situations like: the user asks to create a workflow; build a pipeline; set up CO2RR/OER/HER/NEB/DOS/slow-growth; make a workflow for X reaction.

How do I install Catgo Build Workflow in Claude Code?

Run `npx skills add Hello-QM/catgo-LRG --skill catgo-build-workflow -a claude-code`. Or copy the skill folder (server/catgo/workflow/skills/workflow_builder in Hello-QM/catgo-LRG) into .claude/skills/catgo-build-workflow in your project. Claude Code loads it when a task matches its description.

How do I install Catgo Build Workflow in Codex?

Run `npx skills add Hello-QM/catgo-LRG --skill catgo-build-workflow -a codex`. Or copy the skill folder (server/catgo/workflow/skills/workflow_builder in Hello-QM/catgo-LRG) into .agents/skills/catgo-build-workflow in your project. Codex loads it when a task matches its description.

Can I use Catgo Build Workflow in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Hello-QM/catgo-LRG --skill catgo-build-workflow -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/catgo-build-workflow, .gemini/skills/catgo-build-workflow, .github/skills/catgo-build-workflow and .opencode/skills/catgo-build-workflow in your project.

What does Catgo Build Workflow need to run?

SKILL.md names no scripts, command-line tools or credentials: Catgo Build Workflow is instructions for the agent only.

Does Catgo Build Workflow access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Catgo Build Workflow safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Catgo Build Workflow use?

Catgo Build Workflow is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Catgo Build Workflow use?

About 3.1k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Catgo Build Workflow?

Skills that share tags, products or a category with Catgo Build Workflow: DAG Library (code-yeongyu/oh-my-openagent, 70k stars), Nexrad Mosaic Construction (sickn33/agentic-awesome-skills, 47k stars), Agent Harness Construction (affaan-m/ECC, 276k stars) and Agent Harness Construction (affaan-m/ECC, 276k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Catgo Build Workflow?

Hello-QM (a GitHub user) maintains it in Hello-QM/catgo-LRG, which has 205 GitHub stars. The repository holds 75 skills in this directory. The repository was last updated on September 22, 2026.

Source: Hello-QM/catgo-LRG on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.