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.
Compute adsorption/reaction Gibbs free energies, free-energy diagrams, and electrochemical overpotentials (HER/ORR/OER/CO2RR/NRR) with VASP.
$ npx skills add Hello-QM/catgo-LRG --skill catgo-gibbs-pipeline -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Hello-QM/catgo-LRG catgo-gibbs-pipeline --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/server/catgo/workflow/skills/catgo-gibbs-pipeline .claude/skills/catgo-gibbs-pipeline && 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 "catgo-gibbs-pipeline" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/server/catgo/workflow/skills/catgo-gibbs-pipeline into .claude/skills/catgo-gibbs-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "catgo-gibbs-pipeline", 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/server/catgo/workflow/skills/catgo-gibbs-pipelineType 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 catgo-gibbs-pipeline -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Hello-QM/catgo-LRG catgo-gibbs-pipeline --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/server/catgo/workflow/skills/catgo-gibbs-pipeline .agents/skills/catgo-gibbs-pipeline && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "catgo-gibbs-pipeline" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/server/catgo/workflow/skills/catgo-gibbs-pipeline into .agents/skills/catgo-gibbs-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "catgo-gibbs-pipeline", 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 catgo-gibbs-pipeline -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Hello-QM/catgo-LRG catgo-gibbs-pipeline --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/server/catgo/workflow/skills/catgo-gibbs-pipeline .cursor/skills/catgo-gibbs-pipeline && 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 "catgo-gibbs-pipeline" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/server/catgo/workflow/skills/catgo-gibbs-pipeline into .cursor/skills/catgo-gibbs-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "catgo-gibbs-pipeline", 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 server/catgo/workflow/skills/catgo-gibbs-pipeline--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 catgo-gibbs-pipeline -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Hello-QM/catgo-LRG catgo-gibbs-pipeline --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/server/catgo/workflow/skills/catgo-gibbs-pipeline .gemini/skills/catgo-gibbs-pipeline && 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 "catgo-gibbs-pipeline" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/server/catgo/workflow/skills/catgo-gibbs-pipeline into .gemini/skills/catgo-gibbs-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "catgo-gibbs-pipeline", 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 catgo-gibbs-pipelineInstalls 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 catgo-gibbs-pipeline -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/server/catgo/workflow/skills/catgo-gibbs-pipeline .github/skills/catgo-gibbs-pipeline && 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 "catgo-gibbs-pipeline" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/server/catgo/workflow/skills/catgo-gibbs-pipeline into .github/skills/catgo-gibbs-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "catgo-gibbs-pipeline", 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 catgo-gibbs-pipeline -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 catgo-gibbs-pipeline --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/server/catgo/workflow/skills/catgo-gibbs-pipeline .opencode/skills/catgo-gibbs-pipeline && 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 "catgo-gibbs-pipeline" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/server/catgo/workflow/skills/catgo-gibbs-pipeline into .opencode/skills/catgo-gibbs-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "catgo-gibbs-pipeline", 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.
catgo-gibbs-pipelineCompute adsorption/reaction Gibbs free energies, free-energy diagrams, and electrochemical overpotentials (HER/ORR/OER/CO2RR/NRR) with VASP.
Catgo Gibbs Pipeline is an agent skill from Hello-QM/catgo-LRG. Compute adsorption/reaction Gibbs free energies, free-energy diagrams, and electrochemical overpotentials (HER/ORR/OER/CO2RR/NRR) with VASP. The per-species pipeline is geoopt → freq → Gibbs; CHE references; ΔG → η. Use whenever a study's target is a FREE energy (not raw DFT energy) — overpotential, free-energy diagram, ΔG of adsorption/reaction, limiting potential. Pairs with the catgo-campaign skill for orchestration.
Its SKILL.md is about 670 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `examples/orr-pt111.md`, `references/method.md` and `scripts/build_freq_inputs.py`).
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.
3 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.
Ships 1 file in scripts/ (Python), which the agent can run.
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.
Catgo Gibbs Pipeline loads about 669 tokens when it runs, and up to ~2.1k if it reads all its reference files. Until then it costs about 111 tokens; SKILL.md has 282 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); the scripts in this folder are not scanned.
The full file from Hello-QM/catgo-LRG at commit fd6291b, republished under its AGPL-3.0 licence (© Hello-QM). 282 words, ~669 tokens.
.claude/skills/catgo-gibbs-pipeline/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.TL;DR: G = E_DFT + ZPE − TΔS. Every species in a ΔG needs geo_opt and freq. Per-species pipeline:
geo_opt → freq → Gibbs; assemble ΔG → η.
Any study whose target is a free energy — overpotential η, free-energy diagram, ΔG of adsorption/reaction, limiting potential (HER/ORR/OER/CO2RR/NRR, adsorption thermo). Raw geo_opt energies are NOT enough: add ZPE + TΔS from frequencies.
FORCES: max atom < |EDIFFG|.vasp_gam on shared; slabs vasp_std + k-mesh on compute.catgo freq-inputs — build a VASP freq input from a relaxed CONTCAR/POSCAR
(adsorbate: fix surface, free adsorbate atoms; gas: all free). Runs from ANY directory:
catgo freq-inputs --structure <CONTCAR> --out <dir> [--gas | --free-elements O,H].
Wraps scripts/build_freq_inputs.py (call the script directly only if catgo isn't on
PATH; resolve it as <this skill base>/scripts/build_freq_inputs.py, never a hardcoded
~/.claude/... path).references/method.md — full thermo + freq setup + CHE/ORR/OER/HER pathway formulas +
the η definition. Read for the exact equations.examples/orr-pt111.md — a worked ORR-on-Pt(111) instance (build freq, assemble η).catgo freq-inputs from each CONTCAR → submit freq → catgo freq --mode adsorbed|gas
→ ZPE + TΔS → G.vasp-freq, gibbs, her, oer,
energy-diagram skills.)In a CatGo campaign, wire this into plan.md and let the loop fire freq per species — see
the catgo-campaign + catgo-campaign-loop skills.
© 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
SKILL.md and 3 other files (scripts, references) in server/catgo/workflow/skills/catgo-gibbs-pipeline of Hello-QM/catgo-LRG.
Open the folder on GitHubat commit fd6291b
Catgo Gibbs Pipeline 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 |
|---|---|---|---|---|---|---|
| Catgo Gibbs Pipeline this skillHello-QM/catgo-LRG | 205 | — | ~669 | 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
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…
Hello-QM/catgo-LRG
One-shot recipes for adding, deleting, moving, and replacing individual atoms in the active CatGo viewer structure.
Categories
Compute adsorption/reaction Gibbs free energies, free-energy diagrams, and electrochemical overpotentials (HER/ORR/OER/CO2RR/NRR) with VASP. Catgo Gibbs Pipeline is an agent skill from Hello-QM/catgo-LRG. Compute adsorption/reaction Gibbs free energies, free-energy diagrams, and electrochemical overpotentials (HER/ORR/OER/CO2RR/NRR) with VASP.
Catgo Gibbs Pipeline fits situations like: A studys target is a FREE energy (not raw DFT energy) — overpotential; free-energy diagram; ΔG of adsorption/reaction; limiting potential.
Run `npx skills add Hello-QM/catgo-LRG --skill catgo-gibbs-pipeline -a claude-code`. Or copy the skill folder (server/catgo/workflow/skills/catgo-gibbs-pipeline in Hello-QM/catgo-LRG) into .claude/skills/catgo-gibbs-pipeline in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Hello-QM/catgo-LRG --skill catgo-gibbs-pipeline -a codex`. Or copy the skill folder (server/catgo/workflow/skills/catgo-gibbs-pipeline in Hello-QM/catgo-LRG) into .agents/skills/catgo-gibbs-pipeline 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 catgo-gibbs-pipeline -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-gibbs-pipeline, .gemini/skills/catgo-gibbs-pipeline, .github/skills/catgo-gibbs-pipeline and .opencode/skills/catgo-gibbs-pipeline in your project.
Going by SKILL.md and its folder, Catgo Gibbs Pipeline needs Python for the scripts in its folder. 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Catgo Gibbs Pipeline 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 669 tokens (SKILL.md is roughly 2.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.4k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Catgo Gibbs Pipeline: 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.