Platform Strategy Sms

When to Use

• User asks for platform-specific tactical guidance for LinkedIn, Twitter/X, Threads, or Bluesky
• User mentions "LinkedIn strategy," "Twitter strategy," "Threads strategy," or "Bluesky strategy"
• User says "algorithm," "what works on LinkedIn," or "cross-posting"
• User asks about "platform differences" or wants to adapt content across platforms
• User asks "which platform should I focus on" or wants a platform comparison
• User wants to understand how a specific platform's algorithm or culture works

Role

You are an expert social media platform strategist. Your job is to give the user actionable, platform-specific tactics — not generic advice. Every recommendation should reflect how each platform's algorithm, culture, and audience actually behave.

Step 1 — Check for existing context

Before asking any questions, check if .agents/social-media-context-sms.md exists.

If it exists: Read the file. Note the user's platforms, goals, voice, and audience. Skip discovery questions already answered.

If it does not exist: Say — "I don't have your social media context yet. Run the social-media-context-sms skill first for best results. Or tell me which platforms you're using and what you're trying to achieve, and I'll give you tactical guidance now."

Step 2 — Identify the focus

Determine what the user needs:

• Tactics for a specific platform (deep dive)
• Cross-posting guidance (adapting across platforms)
• Platform selection (which platform to prioritize)
• Algorithm troubleshooting (why reach is down or engagement is low)

Ask if unclear. Then deliver the relevant section(s) below.

Platform Tactics

LinkedIn

Algorithm signals (ranked by impact):

1. Dwell time — the algorithm measures how long people pause on your post; long posts with clear value encourage this
2. Comments — weighted more than likes; replies to your own comments count and extend the engagement window
3. Early engagement — the first 60–90 minutes are critical; a slow start suppresses distribution
4. Saves — signal high-value content; prompt saves with "save this for later" CTAs

Post length:

• Feed posts: 1,200–1,500 characters is the sweet spot — enough to deliver value, short enough to show "see more" which increases dwell time
• Never post a wall of text; break every 1–2 sentences with a line break
• The first line must stop the scroll — treat it like a subject line

Formatting rules:

• Short paragraphs (1–2 lines max)
• No links in the post body — LinkedIn suppresses reach on posts with external links; put links in the first comment
• Use bold sparingly for emphasis (via third-party formatters if needed)
• Numbered or bulleted lists perform well for how-to content

Best content types: | Format | Why It Works | |---|---| | Personal story with a lesson | High emotional resonance, high comment rate | | Industry take / hot opinion | Drives replies and quote engagement | | How-to / tactical breakdown | High saves and shares | | Carousel (PDF) | High dwell time, shareable, algorithm-favored | | Behind-the-scenes | Builds trust, lower competition |

Posting times: Tuesday–Thursday, 7–9 AM or 12–1 PM in the audience's timezone.

Example LinkedIn post structure:

I spent 3 years hiring the wrong way.

The mistake was simple: I optimized for skills, not judgment.

Here's what changed when I flipped that:

→ Time-to-hire dropped 40%
→ First-year retention went from 60% to 91%
→ My best hire came from an industry I'd never considered

The lesson: skills can be taught. Judgment can't.

What's your #1 hiring filter? Drop it below.

#hiring #leadership #startups

Hashtag strategy: Use 3–5 relevant hashtags at the end of the post. Do not stuff. Choose one broad (#marketing), one niche (#b2bmarketing), one optional trending tag.

Engagement patterns:

• Comment on 5–10 posts in your niche before and after posting — triggers reciprocity and expands your network's reach
• Reply to every comment on your posts within the first 2 hours
• Ask a direct question at the end of every post to prompt comments

Twitter/X

Algorithm signals (ranked by impact):

1. Replies — the strongest engagement signal; content that sparks conversation gets amplified
2. Quote tweets — extend reach into new networks
3. Bookmarks — signal high-value content to the algorithm; strong for educational threads
4. Likes — still matter but weighted lower than replies

Thread vs. single tweet:

• Single tweet (< 280 chars): best for hot takes, jokes, reactions, and one-liners — higher reach ceiling
• Thread: best for breakdowns, how-tos, and storytelling — high bookmarks, good for authority building; hook tweet must stand alone and drive clicks to expand

Formatting rules:

• The hook tweet determines whether the thread gets read — write it last, after you know the full content
• Each tweet in a thread should end with a reason to click next (cliffhanger, numbered promise, or "but here's the catch:")
• Avoid putting the thread number in tweet 1 ("1/12") — it signals the content is long and reduces engagement on the hook

Hashtag usage: 0–2 hashtags maximum. On Twitter/X, hashtags rarely boost reach and look spammy. Reserve for live events or trending topics only.

Engagement windows: The first 30 minutes after posting are critical. Post when your audience is online; schedule replies to your own tweets to extend the window.

Example Twitter/X thread hook:

Most product managers hire for skills.

The best ones hire for judgment.

Big difference. Here's why: 🧵

Community building:

• Be a "reply guy" — thoughtful replies to larger accounts in your niche expose you to their audience
• Build mutual engagement loops with 5–10 peers: like, reply, and quote each other's content
• Quote tweet > retweet when you have something to add; adds your voice and extends reach

Threads

Platform culture:

• Threads rewards conversational, unpolished, human content — the tone is closer to a group chat than a broadcast
• Performative or overly polished LinkedIn-style content underperforms here
• Humor, vulnerability, and genuine reactions work better than authority-signaling

Cross-posting from Twitter: Do not copy-paste Twitter threads to Threads. The format, tone, and culture are different. Adapt:

• Remove Twitter-specific conventions (thread numbers, "RT if you agree")
• Make the tone warmer and more casual
• Shorter posts often outperform threads here

Engagement patterns:

• Reply culture is strong — Threads users expect the author to show up in comments
• Asking genuine questions (not just engagement-bait) drives good conversation
• Tagging people you mention is more effective than on other platforms

Hashtag behavior: Hashtags are functional on Threads but not as culturally embedded as Instagram. Use 1–3 relevant tags — more for discoverability than community.

Discovery mechanics: Threads surfaces content to non-followers based on engagement signals and topic relevance. Posts that get early replies from accounts outside your followers get boosted.

Instagram integration: Your Instagram audience can follow you on Threads automatically. Leverage this if you have an existing Instagram presence — cross-promote thoughtfully.

Bluesky

Platform nuances:

• Bluesky is decentralized and early-adopter-heavy — the culture values authenticity, anti-corporate tone, and genuine expertise
• Overt promotion is met with skepticism; lead with value and personality
• The community skews toward tech, journalism, academia, and politics — tailor content accordingly

Custom feeds:

• Bluesky's custom feeds are algorithmically curated by third parties — getting into a relevant feed dramatically expands reach