Automate LinkedIn Post Creation From Topics to Publishing

Generates LinkedIn posts end-to-end from scraped network topics, automatically scoring and rewriting drafts to meet your voice and quality standards before publishing. Eliminates manual topic research, drafting, revision cycles, and task filing by handling the full workflow from Slack.

Once running, you interact via Slack commands or scheduled runs. 1. Run @Clio propose (or schedule weekly) to scrape your creator list, identify 5 trending topics with angles, and post proposals to Slack threads. 2. Provide feedback or context in the thread reply. 3. Run @Clio generate to write the post, QA-score it against your style guide and ICP (0-10 scale, 8.1 pass threshold), and auto-rewrite up to 3 times if needed. 4. Passing posts become ClickUp tasks with full drafts ready for review; failing posts block and notify you. Output: weekly LinkedIn posts delivered to ClickUp with drafts ready for scheduling, grounded in real trending topics and your exact writing voice.

Requires Python 3.9+ for async/await and modern string formatting. Claude Opus calls use higher token budgets to ensure coherence; consider costs if running multiple daily cycles. RapidAPI LinkedIn scraper has rate limits; default 14-day lookback and 5 posts per run fit typical free tiers. Slack Socket Mode requires a persistent connection and App Token with connections:write. ClickUp integration requires your List ID from the app URL and User ID retrieved via curl with your API key.