What problem does it solve? Drafting social media posts that fit platform-specific character limits, avoid AI-sounding language, and stay factually accurate is error-prone when done by hand. This Skill handles platform identification, char-limit verification, topic research, and programmatic character-count validation so posts are ready to publish. ## Core Features & Use Cases - Platform-aware drafting: Identifies the target platform (Mastodon, X, LinkedIn, Bluesky, Threads, Facebook) and applies its actual character cap, including per-instance Mastodon limits and X tier differences. - Programmatic length verification: Counts characters with Python, including Mastodon's 23-character URL normalization, and iterates until the draft fits with headroom. - Research and humanizer pass: Web-searches primary sources before drafting factual posts, then strips AI vocabulary, em dashes, and filler so the post reads naturally. - Use Case: Ask for a Mastodon post announcing a software release; the Skill researches the release notes, drafts within your instance's 1989-character cap, verifies the count, and formats source links and hashtags. ## Quick Start Write a Mastodon post about the FeedEcho v1.9.1 release, keeping it under my instance's character limit and including the release link.