social-campaign

To generate a social campaign from a codebase, install the skill in your AI coding assistant and execute a campaign command like "campaign full". It scans your project for brand signals, analyzes competitors, and outputs platform-ready posts organized under a dedicated social-campaign directory.

Automating content strategy for SaaS projects is best handled by extracting brand signals directly from your codebase. This skill synthesizes your project's identity, conducts competitor analysis, and builds a multi-week content strategy with phase-based approval gates for governance.

Yes, you can create platform-ready posts for open-source and e-commerce projects. The skill supports multi-platform campaigns by scanning your project's specific brand identity and generating cohesive, scheduled content across multiple weeks.

Competitor analysis works by scanning your codebase for brand signals to establish a baseline, then researching competitors to define a differentiated strategy. It outputs a cohesive creative foundation and scheduled posts tailored to your project's market positioning.

You need a SKILL.md frontmatter with name and description to generate a brand audit and social posts. Optional folders for references, scripts, and assets can be included, while all generated outputs are organized under the social-campaign directory.

Generated social campaigns require multi-phase approvals to ensure creative quality and governance. This structured approach validates the brand audit, competitor analysis, and content strategy before finalizing platform-ready posts.