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- Claude Expert Skill Creator
claude-expert-skill-creator_skill
- Python
10
GitHub Stars
4
Bundled Files
2 months ago
Catalog Refreshed
4 months ago
First Indexed
Readme & install
Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.
Installation
Preview and clipboard use veilstrat where the catalogue uses aiagentskills.
npx veilstrat add skill bahayonghang/my-claude-code-settings --skill claude-expert-skill-creator- .gitignore258 B
- LICENSE1.1 KB
- README.md6.7 KB
- SKILL.md4.6 KB
Overview
This skill creates production-ready skills from expert knowledge and system ontologies. It extracts domain rules, maps them to system-specific structures, and layers deterministic scripts with lightweight knowledge loaded on demand. Use it when you need reliable, repeatable automation that must respect both professional conventions and your internal data models.
How this skill works
The skill runs a discovery phase that separates domain expertise (standards, edge cases, validation rules) from ontology understanding (IDs, workflows, company constraints). It generates a compact core description, deterministic scripts for routine validation or transformation, and supplementary resources that are loaded only when needed. Packaging and simple versioning produce deployable artifacts ready for integration into production workflows.
When to use it
- You will run the task 3+ times or it will be reused across teams
- Procedure follows a consistent, repeatable process
- Result must be trusted and auditable (not “close enough”)
- Task requires specialized domain knowledge or firm-specific mappings
- You want to minimize token cost by offloading deterministic work to scripts
Best practices
- Start with a quick assessment: purpose, frequency, savings threshold, and complexity level
- Separate discovery into Domain Expertise and Ontology streams and document both
- Implement deterministic operations as scripts that output structured JSON
- Keep the core description minimal and load advanced resources only when necessary
- Include a simple packaging/versioning step and a pre-shipment checklist
Example use cases
- Validate and transform billing files to firm-specific LEDES formats with deterministic validators
- Generate data-mapping rules for migrating legacy IDs into a new system while preserving business rules
- Create a skills package that enforces professional compliance rules and produces audit logs
- Automate extraction of domain conventions and produce a lightweight rule engine plus references
- Build an interpretation layer that maps user language to internal workflow states and IDs
FAQ
Scripts perform deterministic checks and transformations locally, replacing long textual explanations and saving large prompt tokens when run.
When should I include advanced resources?
Only include Layer 2 resources when a specific scenario requires them; keep the runtime core minimal to stay efficient.
What does a minimal shipping checklist include?
A short description, compact core content, deterministic scripts, referenced resources present, and a versioned package ready for deployment.