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skill-factory

Automate Claude Code skill creation from research to validated SKILL.md artifacts.

5|Updated Nov 21, 2025
Search Tags:#automation#research#validation#auditing#skill#factory
One-click install
npx skills add https://github.com/basher83/agent-auditor --skill skill-factory-basher83
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-factory
Source: https://github.com/basher83/agent-auditor/tree/main/skills/skill-factory
Command: npx skills add https://github.com/basher83/agent-auditor --skill skill-factory-basher83

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill Factory provides a guided, research-backed workflow to create Claude Code skills from idea to validated production-ready artifacts, including automated research gathering, multi-tier validation, and auditing.

Core Features & Use Cases

  • Automated research: Gather domain knowledge using firecrawl API.
  • Structured frontmatter generation: Generate SKILL.md with YAML frontmatter and body.
  • End-to-end validation: Run quick_validate.py, perform runtime loading checks, integration checks, and non-blocking audit.

Quick Start

Run the full workflow with a new skill name. If you have existing research at docs/research/skills/<skill-name>, skip the research phase by passing the path. For targeted fixes, use individual commands such as /meta-claude:skill:research, /meta-claude:skill:create, /meta-claude:skill:review-content, and /meta-claude:skill:validate-audit.

Frequently Asked Questions about skill-factory

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate skill creation from research to production-ready artifacts?▼

Skill Factory automates the entire workflow from initial idea through validated production deployment. It gathers domain research using firecrawl, generates SKILL.md with YAML frontmatter, runs multi-tier validation including runtime checks, and produces audit-ready artifacts meeting Claude Code specifications.

Can I skip the research phase if I already have domain knowledge gathered?▼

Yes. Pass the path to existing research at docs/research/skills/<skill-name> to skip automated research gathering and proceed directly to structured frontmatter generation, content review, and validation phases.

What validation does the Skill Factory perform before production deployment?▼

The Skill Factory runs quick_validate.py, performs runtime loading checks to ensure SKILL.md loads correctly, executes integration checks, and conducts a non-blocking audit to confirm compliance with Claude Code specifications and audit-ready standards.

Can I run individual validation steps instead of the full workflow?▼

Yes. Use targeted commands like `/meta-claude:skill:research`, `/meta-claude:skill:create`, `/meta-claude:skill:review-content`, and `/meta-claude:skill:validate-audit` to fix specific phases without re-running the entire pipeline.

Does Skill Factory handle tiered error handling and compliance checks automatically?▼

Yes. The workflow includes multi-phase validation, tiered error handling, and compliance checks built into each stage to ensure artifacts meet Claude Code specifications before final audit.

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