Layers – AI skills for deep product design
Forces AI to output strategy maps and job stories instead of just generating UI mockups.
UX & AI Product designs skills for Claude, Codex etc.
Forces AI to output strategy maps and job stories instead of just generating UI mockups.
Team-wide memory pool for agents when most tools stay siloed on one workstation.
Curated list of prompt files for a specific AI tool, nothing more.
Five-gate validation framework prevents skill knowledge drift, but experiments limited to one domain.
Packages product-thinking into an Agent Skill so your agent can answer like 'Steve Jobs' — heuristics, constraints and example responses live inside a deployable skill compatible with MCP-enabled platforms. Clever and immediately useful for design critiques, but the post prioritizes argument over onboarding: show the skill manifest, install steps and sample inputs up front and this would convert curiosity into actual usage.
Opinionated library of 16 compact skills that map real PM frameworks (Mom Test, Shape Up, Obviously Awesome, Teresa Torres) into 50–150 line agent instructions, installable via npx or a .claude plugin. Practical and immediately useful if you run AI agents for interviews, scope-cutting, or PRD drafting — the value is in the framework-to-prompt translation and the CLI/plugin delivery; it could use example outputs, tests, or usage case studies to prove the quality of each skill.