Create new Agent Skills following the agentskills.io specification.

MITAuto-check passedDocuments & Office

Install Create Skill

skills CLI
$ npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill create-skill -a claude-code

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

GitHub CLI
$ gh skill install jinzhezenggroup/computational-chemistry-agent-skills create-skill --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/jinzhezenggroup/computational-chemistry-agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.github/skills/create-skill .claude/skills/create-skill && 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
create-skill
GitHub stars
148
Token cost
~1.3k tokens
SKILL.md length
381 words
Files
1
Skills in repo
62
Repo updated
First seen
Licence
MIT

At a glance

Create new Agent Skills following the agentskills.io specification.

  • Works in 4 steps: Gather requirements: Ask what the skill… → Choose a name: lowercase letters,… → Generate the structure: Create SKILL.md… → …
  • The user wants to create
  • SKILL.md covers Quick Start, Directory Structure, SKILL.md Template and Field Requirements, plus 5 more sections
  • Calls npm

What it does

Create Skill is an agent skill from jinzhezenggroup/computational-chemistry-agent-skills. Create new Agent Skills following the agentskills.io specification. Use when the user wants to create, scaffold, or design a new skill for AI agents. Handles SKILL.md generation, directory structure setup, and validation.

Its SKILL.md is about 1.3k 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 Documents & Office, covering PDF. The repository describes itself as: Agent skills to run computational-chemistry tasks, used in OpenClaw. The licence is MIT.

When your agent uses it

  • The user wants to create
  • Design a new skill for AI agents

Example prompts

  • “/create-skill”

Requirements

  • Python 3
  • Node.js

Workflow steps

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

  1. Gather requirements: Ask what the skill should do
  2. Choose a name: lowercase letters, numbers, hyphens only (e.g., pdf-processing, data-analysis)
  3. Generate the structure: Create SKILL.md with proper frontmatter
  4. Add optional components: scripts, references, assets as needed

What it can do on your machine

Read from SKILL.md and the folder at commit 5c19e75. 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

    Shell commands in SKILL.md call:

    • npm

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

  • Network

    Links to these hosts (documentation or services it may open):

    • agentskills.io
    • github.com

    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

Create Skill loads about 1.3k tokens when it runs. Until then it costs about 59 tokens; SKILL.md has 381 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~59
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

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 jinzhezenggroup/computational-chemistry-agent-skills at commit 5c19e75, republished under its MIT licence (© jinzhezenggroup). 381 words, ~1,263 tokens.

Download SKILL.mdSave it as .claude/skills/create-skill/SKILL.md (or your agent's skills folder).
name
create-skill
description
Create new Agent Skills following the agentskills.io specification. Use when the user wants to create, scaffold, or design a new skill for AI agents. Handles SKILL.md generation, directory structure setup, and validation.
license
MIT
metadata.author
njzjz-bot
metadata.version
1.0

Create Skill

This skill helps you create new Agent Skills that follow the agentskills.io specification.

Quick Start

When asked to create a new skill:

  1. Gather requirements: Ask what the skill should do
  2. Choose a name: lowercase letters, numbers, hyphens only (e.g., pdf-processing, data-analysis)
  3. Generate the structure: Create SKILL.md with proper frontmatter
  4. Add optional components: scripts, references, assets as needed

Directory Structure

skill-name/
├── SKILL.md          # Required: main skill file
├── scripts/          # Optional: executable code
├── references/       # Optional: additional documentation
└── assets/           # Optional: static resources

SKILL.md Template

markdown
---
name: your-skill-name
description: What this skill does and when to use it. Be specific and include keywords that help agents identify relevant tasks. Max 1024 characters.
license: MIT
compatibility: Optional - environment requirements if any
metadata:
  author: your-name
  version: "1.0"
allowed-tools: Optional - pre-approved tools (experimental)
---

# Skill Title

Brief introduction to the skill.

## Usage

Step-by-step instructions on how to use this skill.

## Examples

Example inputs and outputs.

## Notes

Common edge cases and tips.

Field Requirements

name (required)
  • 1-64 characters
  • Lowercase letters, numbers, hyphens only
  • Cannot start or end with -
  • No consecutive hyphens --
  • Must match directory name

Valid: pdf-processing, data-analysis, code-review-2 Invalid: PDF-Processing, -pdf, pdf--processing

description (required)
  • 1-1024 characters
  • Describe WHAT the skill does AND WHEN to use it
  • Include specific keywords for discoverability

Good: "Extracts text and tables from PDF files. Use when working with PDF documents, extracting content from PDFs, or processing scanned documents." Poor: "Helps with PDFs."

license (optional)
  • License name or reference to bundled license file
  • Examples: MIT, Apache-2.0, Proprietary. LICENSE.txt has complete terms
compatibility (optional)
  • 1-500 characters
  • Only include if skill has specific environment requirements
  • Examples: "Requires Python 3.8+ and pandas", "Needs internet access for API calls"
metadata (optional)
  • Arbitrary key-value pairs
  • Common keys: author, version, tags
allowed-tools (optional, experimental)
  • Space-delimited list of pre-approved tools
  • Example: Bash(git:*) Bash(jq:*) Read

Best Practices

Show full SKILL.md (172 more words)Show less
Progressive Disclosure

Design for efficient context usage:

  1. Metadata (~100 tokens): Loaded at startup for all skills
  2. Instructions (<5000 tokens recommended): Loaded when skill is activated
  3. Resources: Loaded on-demand

Keep SKILL.md under 500 lines. Move detailed content to references/.

File Organization
  • Keep SKILL.md focused on core instructions
  • Put detailed docs in references/REFERENCE.md
  • Put templates in assets/
  • Put executable code in scripts/
File References

Use relative paths from skill root:

markdown
See [the reference guide](references/REFERENCE.md) for details.
Run: scripts/process.py

Keep references one level deep. Avoid deeply nested chains.

Validation

After creating a skill, validate it:

bash
# Install skills-ref if needed
npm install -g @agentskills/skills-ref

# Validate the skill
skills-ref validate ./your-skill-name

Workflow Example

When asked to create a skill for X:

  1. Create directory: your-skill-name/
  2. Write SKILL.md with:
    • Proper frontmatter (name, description)
    • Clear instructions in Markdown body
  3. Optionally add:
    • scripts/ for helper scripts
    • references/ for detailed docs
    • assets/ for templates/data
  4. Validate with skills-ref validate
  5. Test the skill with an agent

Common Patterns

Simple Skill

Just a SKILL.md with instructions:

my-skill/
└── SKILL.md
Skill with Scripts

For skills that run code:

my-skill/
├── SKILL.md
└── scripts/
    └── helper.py
Skill with References

For detailed documentation:

my-skill/
├── SKILL.md
└── references/
    ├── REFERENCE.md
    └── examples.md
my-skill/
├── SKILL.md
├── scripts/
│   ├── setup.sh
│   └── process.py
├── references/
│   ├── API.md
│   └── FORMATS.md
└── assets/
    ├── template.json
    └── schema.json

References

© jinzhezenggroup, MIT. 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 .github/skills/create-skill of jinzhezenggroup/computational-chemistry-agent-skills.

Open the folder on GitHubat commit 5c19e75

Compare with similar skills

Create Skill 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.

Create Skill compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Create Skill this skilljinzhezenggroup/computational-chemistry-agent-skills148—~1.3kAutomated safety check: PassMIT
MarkitdownImCa0/just-laws78114 repos~3.2kAutomated safety check: NotesMIT
Gzh Designisjiamu/gzh-design-skill4k—~2.2kAutomated safety check: PassAGPL-3.0
GenOffice Document CLIgenspark-ai/genoffice9.2k—~19kAutomated safety check: PassApache-2.0
Harness Book Best Practicewquguru/harness-books3.2k—~4.1kAutomated safety check: PassNone
Bookforge Korean Ebook PDF Makergongnyang/bookforge3161 repos~1.7kAutomated safety check: PassMIT

Similar skills

  • Markitdown

    ImCa0/just-laws

    Convert files and office documents to Markdown. An agent skill from ImCa0/just-laws.

    781 GitHub starsUsed in 14 repos~3.2k tokens
    Documents & OfficeAuto-check: notes
  • Gzh Design

    isjiamu/gzh-design-skill

    微信公众号文章排版引擎,将 Markdown 转换为可直接粘贴到公众号编辑器的 HTML。主题风格从 references/theme-index.md 注册的自定义主题库中选取,自动章节编号、关键词下划线标记、引言卡片、目录导航、代码块、图片/GIF、作者签名。支持 Markdown / Word(.docx) / PDF / 纯文本输入(非 Markdown…

    4k GitHub stars~2.2k tokensUpdated 2 days ago
    Documents & OfficeAuto-check passed
  • GenOffice Document CLI

    genspark-ai/genoffice

    Creates, converts, reads and edits real pptx, xlsx, docx and PDF files locally through the genoffice command line.

    9.2k GitHub stars~19k tokensUpdated yesterday
    Documents & OfficeAuto-check passed
  • Harness Book Best Practice

    wquguru/harness-books

    Best practices for working on the Harness books repo. An agent skill from wquguru/harness-books.

    3.2k GitHub stars~4.1k tokensUpdated 5 mo ago
    Documents & OfficeAuto-check passed
  • Produces book-style Korean ebook PDFs from a topic or finished manuscript, with six design styles, real book parts and quality-check gates before output.

    316 GitHub starsUsed in 1 repo~1.7k tokens
    Documents & OfficeAuto-check passed
  • Instrument Data To Allotrope

    aws-samples/amazon-bedrock-agents-healthcare-lifesciences

    Official

    Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV.

    274 GitHub starsUsed in 2 repos~2.7k tokens
    Documents & OfficeAuto-check passed

More from jinzhezenggroup/computational-chemistry-agent-skills

All 62 skills in this repo
  • Quantum ESPRESSO DFT Task Builder

    jinzhezenggroup/computational-chemistry-agent-skills

    Turns a user-supplied atomic structure and DFT settings into a runnable Quantum ESPRESSO input file, stopping short of submitting the job.

    148 GitHub stars~1.8k tokensUpdated 2 days ago
    Auto-check passed
  • DP-GEN Simplify Workflow

    jinzhezenggroup/computational-chemistry-agent-skills

    Prepares, validates and runs DP-GEN simplify jobs that thin out repeated or redundant DeepMD datasets, generating param.json and machine.json for local or scheduler runs.

    148 GitHub stars~2.7k tokensUpdated 2 days ago
    Auto-check passed
  • LAMMPS with DeePMD-kit

    jinzhezenggroup/computational-chemistry-agent-skills

    Prepares and runs molecular dynamics simulations in LAMMPS with a DeePMD machine-learning potential, writing the input script and choosing NVE, NVT or NPT.

    148 GitHub stars~2.8k tokensUpdated 2 days ago
    Auto-check passed
  • LAMMPS ReaxFF Setup

    jinzhezenggroup/computational-chemistry-agent-skills

    Prepares and explains LAMMPS input scripts for reactive molecular dynamics with the ReaxFF potential, including charge equilibration and ensemble choice.

    148 GitHub stars~1.8k tokensUpdated 2 days ago
    Auto-check passed
  • RDKit Conformer Generator

    jinzhezenggroup/computational-chemistry-agent-skills

    Generates 3D molecular conformers from SMILES strings or files with RDKit, keeps the lowest-energy one per molecule, and falls back to 2D coordinates when embedding fails.

    148 GitHub stars~2.4k tokensUpdated 2 days ago
    Auto-check passed
  • RDKit Descriptors and Fingerprints

    jinzhezenggroup/computational-chemistry-agent-skills

    Computes RDKit physicochemical descriptors and molecular fingerprints from SMILES through a uv-run CLI script that skips and logs invalid molecules.

    148 GitHub stars~2.3k tokensUpdated 2 days ago
    Auto-check passed

Questions about Create Skill

What does Create Skill do?

Create new Agent Skills following the agentskills.io specification. Create Skill is an agent skill from jinzhezenggroup/computational-chemistry-agent-skills.io specification.

When should I use Create Skill?

Create Skill fits situations like: the user wants to create; design a new skill for AI agents.

How do I install Create Skill in Claude Code?

Run `npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill create-skill -a claude-code`. Or copy the skill folder (.github/skills/create-skill in jinzhezenggroup/computational-chemistry-agent-skills) into .claude/skills/create-skill in your project. Claude Code loads it when a task matches its description.

How do I install Create Skill in Codex?

Run `npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill create-skill -a codex`. Or copy the skill folder (.github/skills/create-skill in jinzhezenggroup/computational-chemistry-agent-skills) into .agents/skills/create-skill in your project. Codex loads it when a task matches its description.

Can I use Create Skill 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 jinzhezenggroup/computational-chemistry-agent-skills --skill create-skill -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/create-skill, .gemini/skills/create-skill, .github/skills/create-skill and .opencode/skills/create-skill in your project.

What does Create Skill need to run?

Going by SKILL.md and its folder, Create Skill needs the command-line tools its instructions call (npm). Our summary lists: Python 3; Node.js.

Does Create Skill access the network?

SKILL.md names 2 domains. As links in the text: agentskills.io and github.com. This is read from the text; nothing was executed.

Is Create Skill 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 Create Skill use?

Create Skill is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Create Skill use?

About 1.3k tokens (SKILL.md is roughly 5.1k 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 Create Skill?

Skills that share tags, products or a category with Create Skill: Markitdown (ImCa0/just-laws, 781 stars), Gzh Design (isjiamu/gzh-design-skill, 4k stars), GenOffice Document CLI (genspark-ai/genoffice, 9.2k stars) and Harness Book Best Practice (wquguru/harness-books, 3.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Create Skill?

jinzhezenggroup (a GitHub organization) maintains it in jinzhezenggroup/computational-chemistry-agent-skills, which has 148 GitHub stars. The repository holds 62 skills in this directory. The repository was last updated on October 9, 2026.

Source: jinzhezenggroup/computational-chemistry-agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.