This repo is a quiet gem in the rapidly-growing space of agent skills — modular capability packs that extend AI coding assistants like Claude Code. Johan's contribution is a skill called better-planning, focused on collaborative product and feature planning between humans and AI agents.

What makes it stand out from the typical "prompt template" repo is its opinionated workflow:

• Layered specs — instead of asking the agent to dump a wall of design text, planning happens in progressively detailed layers (problem → approach → spec → tasks), so you can stop or pivot at any level without wasted work.
• Visual HTML review companions — the skill generates lightweight HTML artifacts you can open in a browser to review proposed plans, which is a refreshing departure from staring at markdown in a terminal.
• One-decision-at-a-time brainstorming — the agent is constrained to surface a single open question per turn, which kills the common failure mode of LLMs proposing a dozen options at once and forcing you to context-switch through all of them.

The HTML language tag is misleading — the substance here is the skill manifest and prompt scaffolding, with HTML used purely as a presentation layer for the review companions. It's the kind of repo that's easy to skip past in a feed, but if you're already using Claude Code or a similar agentic IDE, it's a drop-in upgrade to how you scope feature work.

Who benefits: Product engineers and tech leads who do a lot of greenfield design with AI assistance, anyone frustrated by agents that jump to implementation before the problem is well-framed, and skill authors looking for a reference example of how to structure a well-scoped, opinionated skill rather than a kitchen-sink prompt.