jinzhezenggroup/computational-chemistry-agent-skills/create-skill
Claude Code and agent skill by jinzhezenggroup/computational-chemistry-agent-skills
- community
Checking that the SKILL.md file is still in the repository.
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.
Install
npx vskill@latest install jinzhezenggroup/computational-chemistry-agent-skills/create-skillSKILL.md
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:
- Gather requirements: Ask what the skill should do
- Choose a name: lowercase letters, numbers, hyphens only (e.g.,
pdf-processing,data-analysis) - Generate the structure: Create
SKILL.mdwith proper frontmatter - Add optional components: scripts, references, assets as needed
Directory Structure
SKILL.md Template
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
Progressive Disclosure
Design for efficient context usage:
- Metadata (~100 tokens): Loaded at startup for all skills
- Instructions (\<5000 tokens recommended): Loaded when skill is activated
- Resources: Loaded on-demand
Keep SKILL.md under 500 lines. Move detailed content to references/.
File Organization
- Keep
SKILL.mdfocused 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:
Keep references one level deep. Avoid deeply nested chains.
Validation
After creating a skill, validate it:
Workflow Example
When asked to create a skill for X:
- Create directory:
your-skill-name/ - Write
SKILL.mdwith:
- Proper frontmatter (name, description)
- Clear instructions in Markdown body
- Optionally add:
scripts/for helper scriptsreferences/for detailed docsassets/for templates/data
- Validate with
skills-ref validate - Test the skill with an agent
Common Patterns
Simple Skill
Just a SKILL.md with instructions:
Skill with Scripts
For skills that run code:
Skill with References
For detailed documentation:
Full-featured Skill
References
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryChecking.github/skills/create-skill/SKILL.md
Popularity
- Repository stars
- 118
- Repository forks
- 24
- 7-day trend score
- 24
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
Works with
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