What problem does it solve? Writing an accurate LinkedIn post about a technical project requires gathering current status, recent changes, and supporting evidence from across the repository, which is slow and error-prone. This Skill automates that research and produces a factual draft saved to reports/linkedin-post-draft.md for human review. ## Core Features & Use Cases - Evidence-grounded drafting: Reads the project handoff, project guide, README, architecture docs, and validation reports so every material claim is backed by current evidence. - Update posts from history: With the --update flag, compares against reports/linkedin-post-history.md to describe only verified new features, milestones, or lessons since the last post. - Tone and audience control: Supports --technical, --executive, and --community tones, with drafts flagged for claims requiring user review such as metrics, links, or internal names. - Use Case: After shipping a new release, run the skill with --update to produce a draft highlighting only the verified changes since your last published post, then review and publish it yourself. ## Quick Start Ask the agent to run /linkedin-post --update --community to draft a LinkedIn update post based on verified changes since the last recorded post.
