Create distributable Claude Code skills with structured SKILL.md and .skill packaging.
npx skills add https://github.com/ToanPV90/dotfiles --skill skill-forge-toanpv90
Please help me install this Agent Skill. Skill: skill-forge Source: https://github.com/ToanPV90/dotfiles/tree/main/agents/.agents/skills/skill-forge Command: npx skills add https://github.com/ToanPV90/dotfiles --skill skill-forge-toanpv90
Skill Forge prevents Claude Code skills from becoming unstructured, inconsistent markdown dumps by giving you a production-grade, workflow-driven template for writing SKILL.md that triggers reliably and executes safely.
Run the skill at /skill-forge and follow the guided workflow to design and package your next distributable skill.
High-intent search queries and answers about installing and using this skill.
To create reliable Claude Code skills, use a workflow-driven SKILL.md template with keyword-rich descriptions, an Iron Law constraint, and confirmation gates. This enforces trigger coverage and execution safety, preventing unstructured markdown dumps.
Progressive loading in skill design keeps SKILL.md lean by loading deep knowledge on-demand from external references. This token-efficient architecture keeps the main file under 500 lines, reducing context window consumption during execution.
Packaging a Claude Code skill involves separating deterministic operations into scripts, deep knowledge into references, and validating the folder structure before archiving it into a distributable .skill file.
You enforce quality and safety in Claude Code skills by applying deterministic workflow guardrails, including a trackable execution checklist, confirmation gates, and pre-delivery quality validation checks to reduce shortcuts and mistakes.
Yes, mandatory YAML frontmatter with name and description fields is required for Claude Code skills. This metadata supports prompt engineering by ensuring the skill activates naturally based on user requests.
The best way to structure a large Claude Code skill is resource planning: separating deterministic operations into scripts, deep knowledge into references, and output-only items into assets. This maintains a lean SKILL.md core file.
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