A social media manager prompt pack turns a general-purpose LLM into a platform-aware copywriter that respects the quirks of each network. The same idea has to read differently on LinkedIn than on TikTok, and a reply to a complaint needs a completely different tone than a reply to praise. This tool builds prompts that encode the platform conventions, your brand voice, and your content goal, so the output is native rather than generic filler.
How it works
You pick the platform (Instagram, LinkedIn, X, TikTok, or Facebook) and the asset you need — captions, an engagement thread or carousel, reply templates, or a monthly analytics narrative. The builder injects that platform’s real conventions: character limits, hashtag norms, hook placement, and CTA style. You then add the brand voice and a content goal (awareness, engagement, conversion, or community), and optionally a topic. For analytics, the prompt leaves a placeholder block so you can paste real metrics and get a written interpretation instead of inventing numbers.
Tips and examples
For captions, the prompt requests three distinct hooks so you can A/B test rather than commit to one. For replies, it covers the four situations that actually fill a manager’s day — praise, questions, complaints, and trolls — each with the right tone. Keep the brand voice field consistent across sessions so your feed reads as one person; a saved voice block from a style guide makes that effortless. When generating the analytics narrative, paste the same metric labels every month so your reports stay comparable, and trust the rule that forbids fabricated stats — review any claim the model flags as needing data.