What problem does it solve? Announcing project updates on social media requires manually digging through git history, changelogs, and READMEs, then writing platform-specific copy and designing shareable visuals — a repetitive, time-consuming process for maintainers. ## Core Features & Use Cases - Topic-Based Content Extraction: Pulls feature commits, bug fixes, recent changes, or release notes from git history, CHANGELOG.md, and README.md across multiple project manifest formats (package.json, pyproject.toml, Cargo.toml, go.mod). - Platform-Aware Copy Drafting: Writes takeaway-first posts tailored to LinkedIn, Twitter/X, and Bluesky with per-platform tone, character limits, and hashtag rules. - Dark-Mode Card Generation: Populates HTML card templates (feature-card, diff-card) and screenshots them via Playwright for shareable images. - Security Scrub Gate: Routes extracted content through a security-scrub skill to block secrets before anything is published. - Use Case: After shipping v2.1.0 of your open-source library, run the skill with the release topic to get a LinkedIn post, a tweet, and a styled release card image saved to disk. ## Quick Start Ask the AI to share my project's latest release on LinkedIn using the share-project skill with topic release.