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- Lofcz
- Llmtornado
- Skill Creator
skill-creator_skill
- C#
541
GitHub Stars
5
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 lofcz/llmtornado --skill skill-creator- EXAMPLES.md9.7 KB
- INSTALL.md6.3 KB
- README.md4.3 KB
- SKILL.md6.0 KB
- SUMMARY.md6.8 KB
Overview
This skill generates a complete Anthropic-compatible skill package and automates the end-to-end workflow, including branch creation, pull request generation, and local packaging. It provides a reproducible checklist, scripts, and verification steps so you can validate the skill locally and push changes to GitHub with minimal manual work.
How this skill works
The skill collects required metadata (name, description, workflow steps, triggers, inputs/outputs, and dependencies) and scaffolds a structured skill folder with documentation, scripts, and config files. It automates Git operations: creating a branch, committing files, pushing to the remote, and creating a pull request via CLI or API. Finally, it packages the skill for local download and runs simple verification commands to confirm files and contents.
When to use it
- You need a repeatable process to publish new agent skills with consistent structure and documentation.
- You want to automate Git branch creation, commit, push, and PR steps for a new skill.
- You want a local packaged copy of the skill for offline testing or distribution.
- You must validate that all required files, scripts, and workflow steps are present before PR creation.
- You need a checklist-driven approach to ensure completeness and traceability.
Best practices
- Use a clear, kebab-case skill name and a concise one-line description.
- Define explicit workflow steps, expected inputs/outputs, and required tools up front.
- Keep automation scripts small and idempotent so repeated runs are safe.
- Authenticate with GitHub CLI or a PAT before running automated pushes and PR creation.
- Run local verification commands after packaging to confirm file integrity and presence.
Example use cases
- Create a new data-extraction skill with defined triggers, packaging it for QA review and download.
- Automate adding a connector skill that requires Python helper scripts and shell-based deployment steps.
- Onboard contributors by providing a ready-made skill scaffold and a progress checklist to track completion.
- Quickly publish a workflow skill by generating the branch and PR from a template and attaching packaged artifacts.
FAQ
Authenticate with GitHub CLI (recommended), a Personal Access Token with repo scopes, or SSH keys configured for your account.
How does local verification work?
The workflow lists verification commands (file listings and content head checks) and creates a compressed archive to confirm packaging and availability for download.