What problem does it solve?
It helps builders consistently publish high-signal engineering content that demonstrates progress and learning without turning into hype, oversharing, or leaking sensitive information.
Core Features & Use Cases
- Engineering-first storytelling: Frames posts around decisions, architecture insights, failures, and measurable outcomes rather than announcements.
- Channel-specific guidance: Provides practical posting formats and constraints for LinkedIn and X, including what to include and what to avoid.
- Content operations & safety controls: Defines a posting rhythm, anti-patterns, and an anonymization approach to prevent sharing identifiable business details or confidential data.
- Plugin-aligned behavior: Specifies how the build-in-public plugin should share on PR merges, feature shipments, and review outcomes with sensible conditions.
Quick Start
Ask an AI to draft a LinkedIn post that explains a recent engineering decision, includes one failure-and-learned-lesson section, and follows the skill’s anonymization and do-not-share rules.