Archify Diagrams
tt-a1i/archify
Creates interactive architecture, workflow, sequence, data-flow and lifecycle diagrams as standalone HTML with inline SVG, themes and image or video export.
A skill your agent uses when the user asks to generate a reaction energy diagram, free energy profile, potential energy surface plot, or pathway comparison diagram for catalysis or reaction…
$ npx skills add Hello-QM/catgo-LRG --skill energy-diagram -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Hello-QM/catgo-LRG energy-diagram --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Hello-QM/catgo-LRG.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/energy-diagram .claude/skills/energy-diagram && rm -rf skills-srcUse ~/.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/
Install the "energy-diagram" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/energy-diagram into .claude/skills/energy-diagram/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "energy-diagram", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/energy-diagramType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Hello-QM/catgo-LRG --skill energy-diagram -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Hello-QM/catgo-LRG energy-diagram --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Hello-QM/catgo-LRG.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/energy-diagram .agents/skills/energy-diagram && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "energy-diagram" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/energy-diagram into .agents/skills/energy-diagram/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "energy-diagram", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Hello-QM/catgo-LRG --skill energy-diagram -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Hello-QM/catgo-LRG energy-diagram --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Hello-QM/catgo-LRG.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/energy-diagram .cursor/skills/energy-diagram && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "energy-diagram" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/energy-diagram into .cursor/skills/energy-diagram/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "energy-diagram", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Hello-QM/catgo-LRG.git --path .claude/skills/energy-diagram--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Hello-QM/catgo-LRG --skill energy-diagram -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Hello-QM/catgo-LRG energy-diagram --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Hello-QM/catgo-LRG.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/energy-diagram .gemini/skills/energy-diagram && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "energy-diagram" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/energy-diagram into .gemini/skills/energy-diagram/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "energy-diagram", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Hello-QM/catgo-LRG energy-diagramInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Hello-QM/catgo-LRG --skill energy-diagram -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Hello-QM/catgo-LRG.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/energy-diagram .github/skills/energy-diagram && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "energy-diagram" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/energy-diagram into .github/skills/energy-diagram/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "energy-diagram", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Hello-QM/catgo-LRG --skill energy-diagram -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Hello-QM/catgo-LRG energy-diagram --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Hello-QM/catgo-LRG.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/energy-diagram .opencode/skills/energy-diagram && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "energy-diagram" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/energy-diagram into .opencode/skills/energy-diagram/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "energy-diagram", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
energy-diagramA skill your agent uses when the user asks to generate a reaction energy diagram, free energy profile, potential energy surface plot, or pathway comparison diagram for catalysis or reaction…
Energy Diagram is an agent skill from Hello-QM/catgo-LRG. Use when the user asks to generate a reaction energy diagram, free energy profile, potential energy surface plot, or pathway comparison diagram for catalysis or reaction mechanism studies.
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Development, covering Diagrams. 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.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit fd6291b. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Energy Diagram loads about 1.8k tokens when it runs. Until then it costs about 51 tokens; SKILL.md has 568 words of instructions outside code blocks.
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.
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.
The full file from Hello-QM/catgo-LRG at commit fd6291b, republished under its AGPL-3.0 licence (© Hello-QM). 568 words, ~1,807 tokens.
.claude/skills/energy-diagram/SKILL.md (or your agent's skills folder).Generates Plotly-compatible reaction energy pathway diagrams from computed intermediate and transition-state energies. The output includes horizontal line segments for intermediates, cubic-spline curves for transition states, and dashed connectors between consecutive steps.
Key applications:
In the full MCP server, use the catgo_catalysis_energy_diagram tool. In
the workflow engine, the free_energy node generates energy diagrams
automatically from upstream gibbs_energy nodes.
{"tool": "catgo_catalysis_energy_diagram", "arguments": {
"pathways": [
{
"name": "OER on RuO2(110)",
"color": "#1f77b4",
"steps": [
{"label": "*", "energy": 0.0},
{"label": "*OH", "energy": 0.85},
{"label": "*O", "energy": 1.60},
{"label": "*OOH", "energy": 3.20},
{"label": "O2", "energy": 4.92}
]
}
]
}}{"tool": "catgo_catalysis_energy_diagram", "arguments": {
"pathways": [
{
"name": "RuO2(110)",
"color": "#1f77b4",
"steps": [
{"label": "*", "energy": 0.0},
{"label": "*OH", "energy": 0.85},
{"label": "*O", "energy": 1.60},
{"label": "*OOH", "energy": 3.20},
{"label": "O2", "energy": 4.92}
]
},
{
"name": "IrO2(110)",
"color": "#ff7f0e",
"steps": [
{"label": "*", "energy": 0.0},
{"label": "*OH", "energy": 1.05},
{"label": "*O", "energy": 1.95},
{"label": "*OOH", "energy": 3.45},
{"label": "O2", "energy": 4.92}
]
}
]
}}Mark transition states with "is_ts": true. These appear as cubic-spline
arches between the adjacent intermediates:
{"tool": "catgo_catalysis_energy_diagram", "arguments": {
"pathways": [
{
"name": "CO oxidation on Pt(111)",
"color": "#2ca02c",
"steps": [
{"label": "CO* + O*", "energy": 0.0},
{"label": "TS", "energy": 0.85, "is_ts": true},
{"label": "CO2(g)", "energy": -1.20}
]
}
]
}}{"tool": "catgo_catalysis_energy_diagram", "arguments": {
"pathways": [ ... ],
"config": {
"height": 500,
"y_label": "Gibbs Free Energy (eV)",
"x_label": "Reaction Coordinate",
"energy_format": ".3f",
"line_width": 4
}
}}Array of pathway objects. Each pathway contains:
| Field | Type | Required | Description |
|---|---|---|---|
| name | string | no | Legend label for this pathway |
| color | string | no | Line color (CSS color, e.g., "#1f77b4") |
| steps | list[dict] | yes | Ordered list of intermediates and TSs |
Each step dict:
| Field | Type | Required | Description |
|---|---|---|---|
| label | string | yes | State label (e.g., "*OH", "TS1") |
| energy | float | yes | Energy in eV |
| is_ts | bool | no | True for transition states (default false) |
| Parameter | Type | Default | Description |
|---|---|---|---|
| base_spacing | float | 1.0 | Base horizontal spacing between states |
| hline_ratio | float | 0.3 | Width of horizontal energy lines |
| ts_spacing_ratio | float | 0.4 | Width of TS spline curves |
| vline_ratio | float | 0.3 | Width of dashed connectors |
| line_width | float | 3 | Line thickness |
| energy_format | string | ".2f" | Python format string for energy labels |
| height | int | 450 | Plot height in pixels |
| y_label | string | "Free Energy (eV)" | Y-axis title |
| x_label | string | "Reaction Coordinate" | X-axis title |
{
"traces": [ ... ],
"layout": { ... },
"annotations": [ ... ]
}The return value is directly compatible with Plotly: pass traces as the
data array, merge annotations into layout.annotations, and render with
Plotly.newPlot(div, traces, layout).
In the CatGo workflow engine, the free_energy node automatically
generates an energy diagram from upstream gibbs_energy nodes:
{"tool": "catgo_workflow", "arguments": {
"action": "batch",
"workflow_id": "wf_oer",
"operations": [
{"op": "add_node", "node_type": "free_energy", "label": "diagram",
"params": {"input_mode": "auto"}},
{"op": "connect", "from_id": "gibbs_oh", "to_id": "diagram",
"from_handle": "gibbs", "to_handle": "gibbs"},
{"op": "connect", "from_id": "gibbs_o", "to_id": "diagram",
"from_handle": "gibbs", "to_handle": "gibbs"},
{"op": "connect", "from_id": "gibbs_ooh", "to_id": "diagram",
"from_handle": "gibbs", "to_handle": "gibbs"}
]
}}The free_energy node collects Gibbs energies from all connected upstream
nodes and arranges them into a pathway diagram automatically.
All energy values passed to this tool must be Gibbs free energies (G), not raw DFT electronic energies (E_DFT). Each intermediate and gas-phase reference must go through the full chain: geo_opt --> freq --> gibbs_energy.
G = E_DFT + ZPE - TSUsing raw E_DFT omits zero-point energy (ZPE) and entropy (TS), which contribute 0.2-0.5 eV per intermediate. This makes the resulting diagram quantitatively wrong and can change which step is potential-determining.
For electrochemical reactions (OER, HER, CO2RR, NRR), also apply:
is_ts: true) must be placed between two
non-TS steps in the pathway. A TS at the start or end of a pathway
will cause errors because the spline needs adjacent energy values.base_spacing in the config.© 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
Just SKILL.md in .claude/skills/energy-diagram of Hello-QM/catgo-LRG.
Open the folder on GitHubat commit fd6291b
Energy Diagram 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Energy Diagram this skillHello-QM/catgo-LRG | 205 | — | ~1.8k | Automated safety check: Pass | AGPL-3.0 | |
| Archify Diagramstt-a1i/archify | 82k | — | ~2.9k | Automated safety check: Pass | MIT | |
| JSON Canvasheyitsnoah/claudesidian | 2.6k | 18 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Diagram Designcathrynlavery/diagram-design | 49k | 1 repos | ~7.6k | Automated safety check: Pass | MIT | |
| Fireworks Tech Graphtisfeng/Easydict | 15k | 1 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Excalidraw Diagramcoleam00/excalidraw-diagram-skill | 5k | 2 repos | ~6.1k | Automated safety check: Pass | None |
tt-a1i/archify
Creates interactive architecture, workflow, sequence, data-flow and lifecycle diagrams as standalone HTML with inline SVG, themes and image or video export.
heyitsnoah/claudesidian
Create and edit JSON Canvas files (.canvas) with nodes, edges, groups, and connections.
cathrynlavery/diagram-design
Creates branded diagrams, from architecture, flowchart and sequence to charts and maps, as self-contained HTML with inline SVG, with import from draw.io, Mermaid and Excalidraw.
tisfeng/Easydict
Create precise SVG technical diagrams, export PNG or offline HTML, and animate supported semantic SVGs to GIF.
coleam00/excalidraw-diagram-skill
Create Excalidraw diagram JSON files that make visual arguments.
Agents365-ai/drawio-skill
Creates and edits editable draw.io diagrams from descriptions, code, infrastructure files, SQL and API schemas, with sync, review, test and export tools.
Hello-QM/catgo-LRG
Drive a file-first, agent-in-the-loop computational campaign via a folder + markdown tree (no DB).
Hello-QM/catgo-LRG
Compute adsorption/reaction Gibbs free energies, free-energy diagrams, and electrochemical overpotentials (HER/ORR/OER/CO2RR/NRR) with VASP.
Hello-QM/catgo-LRG
Generate and manage ABINIT DFT calculations. An agent skill from Hello-QM/catgo-LRG.
Hello-QM/catgo-LRG
A skill your agent uses when the user asks to place an adsorbate molecule on a surface, find adsorption sites, or set up a surface+adsorbate model for DFT.
Hello-QM/catgo-LRG
A skill your agent uses when the user asks for adsorption energy, binding energy, or wants to compare how strongly a molecule binds to a surface.
Hello-QM/catgo-LRG
A skill your agent uses 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…
Categories
A skill your agent uses when the user asks to generate a reaction energy diagram, free energy profile, potential energy surface plot, or pathway comparison diagram for catalysis or reaction…. Energy Diagram is an agent skill from Hello-QM/catgo-LRG. Use when the user asks to generate a reaction energy diagram, free energy profile, potential energy surface plot, or pathway comparison diagram for catalysis or reaction mechanism studies.
Energy Diagram fits situations like: the user asks to generate a reaction energy diagram; free energy profile; potential energy surface plot; pathway comparison diagram for catalysis.
Run `npx skills add Hello-QM/catgo-LRG --skill energy-diagram -a claude-code`. Or copy the skill folder (.claude/skills/energy-diagram in Hello-QM/catgo-LRG) into .claude/skills/energy-diagram in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Hello-QM/catgo-LRG --skill energy-diagram -a codex`. Or copy the skill folder (.claude/skills/energy-diagram in Hello-QM/catgo-LRG) into .agents/skills/energy-diagram in your project. Codex loads it when a task matches its description.
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 energy-diagram -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/energy-diagram, .gemini/skills/energy-diagram, .github/skills/energy-diagram and .opencode/skills/energy-diagram in your project.
SKILL.md names no scripts, command-line tools or credentials: Energy Diagram is instructions for the agent only. Our summary lists: Python 3.
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.
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.
Energy Diagram 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.
About 1.8k tokens (SKILL.md is roughly 7.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Energy Diagram: Archify Diagrams (tt-a1i/archify, 82k stars), JSON Canvas (heyitsnoah/claudesidian, 2.6k stars), Diagram Design (cathrynlavery/diagram-design, 49k stars) and Fireworks Tech Graph (tisfeng/Easydict, 15k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.