One messy description, 17 AI tools that finally understand you

What it does

You describe a workflow in plain English (or chuck in a PDF, a script, a URL) and this tool generates a complete, installable “skill” — structured knowledge that loads into AI agents like a plugin. The generated package includes functional code, documentation, activation keywords, and a cross-platform installer that auto-detects which of 17 supported tools you use.

The interesting bit

The creator doesn’t just transcribe your description. It runs a discovery phase to uncover implicit requirements you didn’t state — who reads that report, what happens when data is missing — then builds from an internal spec, not your surface prompt. Every skill must pass validation and a security scan (no hardcoded keys, no injection risks) before delivery; failures block the build.

Key highlights

• Ships with built-in eval specs and regression tests per skill, including golden-case validation seeded from your own files
• Generates format adapters automatically: Cursor .mdc, Windsurf .md rules, Junie guidelines.md, plus a universal symlink for multi-tool discovery
• Optional React artifact generation for Claude Code hosts; degrades gracefully to fenced code on platforms that don’t render them
• Three runnable examples included (weekly-crm-report, pr-blocker-summarizer, stock-analyzer), each passing the same gates applied to user-generated skills
• No API key or pip install to get started; runs via git and your existing AI tool

Caveats

• --rollout eval execution is opt-in by design (it runs arbitrary generated skill code)
• llm-judge checks in evals print as a checklist rather than being auto-graded
• Windows support exists but requires PowerShell/Command Prompt one-liners; macOS/Linux is the smoother path

Verdict

Worth a look if your team is tired of re-explaining the same workflows across Claude, Cursor, and Copilot conversations. Skip it if you only use one AI tool and Anthropic’s official skill-creator covers your needs — this project’s edge is cross-platform reach and built-in testing gates, not interactive refinement within a single ecosystem.