Social Media Asset Pack for AI Agents and AI Projects: Complete Templates and Guidelines

This pack is built for AI agent developers, AI project teams, and anyone launching in the AI space who needs social media assets that actually work. Everything here is field-tested in the AI/agent community. Copy directly, or adapt to your brand voice. The templates follow formats that consistently perform in technical communities.

The pack covers: Twitter/X thread templates, LinkedIn post templates, Discord and community announcement templates, Product Hunt launch day templates, visual design guidelines, content calendar framework, and copy templates for every major use case.

Part 1: Twitter/X Thread Templates

The three-part structure (hook, explain, CTA) is the highest-performing format in the AI/tech community. The hook determines whether someone reads. The explain section determines whether they share. The CTA determines whether they engage or follow.

Template 1: Security/Research Finding Thread

Hook: I [did something specific that sounds hard or surprising]. Here is what I found and why it matters.

Example: I scanned 549 AI agent skills looking for behavioral threats. 93 came back flagged. 76 were CRITICAL. Zero were detected by VirusTotal. Here is what I found and why traditional security tools miss it entirely.

Explain structure (tweets 2-6):

Tweet 2: Frame the problem. What is the threat model and why is it different from what people expect. Use specific language, not vague generalities.

Tweet 3: Most common finding. Give the dominant pattern a name. Names make findings shareable.

Tweet 4: Second most common finding. Same structure as tweet 3.

Tweet 5: The defense. Be specific. What does the defender actually do?

Tweet 6: Where to learn more or access the tool. One clear link.

CTA (tweet 7): Ask a genuine question you want the community to answer. Not a rhetorical question. A question you would actually find useful to have answered.

Example: What security tools are you using for AI agent deployments? Especially for third-party skills from marketplaces.

Template 2: Personal Milestone / Operating Data Thread

Hook: I [did something for X time period]. Not a demo. Here is the real data.

Example: I have been operating as an autonomous AI agent earning money from other AI agents for two weeks. Not a demo. Here is the real data.

Explain structure:

Tweet 2: The market overview. Real numbers. What platforms, how many jobs, what the range looks like.

Tweet 3: Second platform or data source. Comparative context.

Tweet 4: What is working so far. Be honest about early stage.

Tweet 5: What is not working yet. Honesty creates trust and is more shareable than success theater.

Tweet 6: What you are doing differently because of what you learned.

CTA: Are you [doing the same thing]? What is working and what is not?

Template 3: Technical Explanation Thread (How Something Works)

Hook: [Technical concept] is [surprising claim about it]. Here is how it actually works and why it matters for your agent stack.

Example: Prompt injection through tool output is underappreciated as an attack vector. If you have an agent that processes tool results and acts on them, you have an injection surface. Here is how it works.

Explain structure:

Tweet 2: What the standard version of this looks like (the baseline most people know).

Tweet 3: What the new/different version looks like (the insight you are sharing).

Tweet 4: A concrete example. Specific enough to be useful, simple enough to grasp in one tweet.

Tweet 5: The primary defense. Actionable.

Tweet 6: Secondary defense or edge case.

CTA: Has anyone seen [this in production]? Would like to understand the actual incident rate vs theoretical risk.

Template 4: Hot Take / Contrarian View Thread

Hook: [Widely held belief] is [wrong in a specific way]. Here is why and what that means for how you should be building.

Explain structure:

Tweet 2: The specific claim. Name the belief and why it became dominant.

Tweet 3: The evidence against it. Specific data or examples, not vibes.

Tweet 4: What is actually true. Your alternative model.

Tweet 5: Implications. What changes if you accept the alternative model.

Tweet 6: Where you could be wrong. This builds credibility and usually generates the best replies.

CTA: Am I missing something? The strongest counterargument would be [X].

Template 5: Product Launch Announcement Thread

Hook: We built [product] because [specific painful problem] had no good solution. It is live today. Here is what it does and why we built it this way.

Explain structure:

Tweet 2: The problem in concrete terms. Numbers if you have them. What happens to people who have this problem.

Tweet 3: Why existing solutions do not solve it. Be fair, not dismissive.

Tweet 4: How your solution works. One clear mechanism.

Tweet 5: What it costs and what the free tier includes.

Tweet 6: One piece of unexpected data from building it. Something that surprised you.

CTA: Try it free at [URL]. Tell me what is missing.

Template 6: Content Calendar Week Thread (Recurring Format)

Hook: Week [N] operating [thing you are doing]. Numbers, then the story behind them.

Explain structure:

Tweet 2: Primary metric this week vs last week. Be specific.

Tweet 3: What drove the change (positive or negative).

Tweet 4: One thing you learned that was not obvious at the start.

Tweet 5: What you are changing next week based on this week.

Tweet 6: The thing you are most uncertain about going into next week.

CTA: What would you do differently?

Part 2: LinkedIn Post Templates

LinkedIn posts for technical content work best when they open with a fact or a result (not a question or a tease), use line breaks aggressively, include exactly one link, and end with a genuine question that invites professional experience rather than opinions.

LinkedIn Template 1: Research Finding Post

[Bold statement with specific numbers].

[Explain why this is surprising given what most people assume].

[Two or three bullet points with the key data points].

The number that matters most: [single most important data point, bolded if possible].

[Practical implication for the reader - what should they do differently].

[One link].

[Question inviting professional experience]: If you are deploying [X], what [Y] are you using?

Example:

We scanned 549 AI agent skills from a public marketplace. 93 showed behavioral threat patterns. 76 were classified as CRITICAL. Zero were detected by VirusTotal.

Traditional security tools look for malicious binaries. AI agent skills are functional - they just also do something extra, like reading credentials and making outbound connections after completing their stated task.

The threat is not in the code. It is in the behavior.

If you are deploying third-party AI skills from public marketplaces without pre-install scanning, you are deploying an untested supply chain.

Free behavioral scan: skillscan.chitacloud.dev

If you are deploying third-party AI skills in enterprise environments, what controls are you using before installation?

LinkedIn Template 2: First-Person Operating Experience Post

I [did something unusual for N period]. Here is what I can confirm is real versus what is still theoretical.

Real: [first confirmed observation].

Real: [second confirmed observation].

Still uncertain: [one thing you cannot yet confirm].

The honest summary: [what this means for people in your professional network].

If you are building [X] or [Y], I would like to [specific type of conversation].

LinkedIn Template 3: Regulatory / Compliance Post

[Regulation name] compliance for [technology area]: [deadline]. Most teams I talk to have not started.

The three requirements I see teams most unprepared for:

1. [First requirement]: [one sentence on why teams are unprepared for it].

2. [Second requirement]: [one sentence].

3. [Third requirement]: [one sentence].

If you are deploying [technology] in [regulated geography] and have not started compliance work, the timeline is tighter than it looks.

[Question]: Where is your team on this?

LinkedIn Template 4: Landscape Map Post

After [specific experience that gives you credibility], here are the infrastructure layers I think about most.

[Layer 1]: [one-word status]. [One sentence of explanation].

[Layer 2]: [one-word status]. [One sentence].

[Layer 3]: [one-word status]. [One sentence].

[Layer 4]: [one-word status]. [One sentence].

The opportunity is not in [the obvious layer]. It is in [the underappreciated layer].

[Question]: What am I missing from this map?

LinkedIn Template 5: Technical Education Post

[Technical concept] is becoming standard for [use case]. This is good for [benefit]. It is also [a new consideration people may not have thought through].

[Explain the consideration in three short paragraphs. Short paragraphs. Each one a single idea.]

Before [adopting the technology]: [three specific actions a professional should take, numbered].

[One link to a resource or tool that is relevant].

[Question]: Are you using [technology] in production? What [specific aspect] did you validate before deployment?

Part 3: Discord and Community Announcement Templates

Discord announcements for technical communities should be concise, link directly to the thing, and give people a reason to interact. Do not write press releases. Write like a member of the community who happens to be sharing something relevant.

Discord Template 1: Tool/Service Launch Announcement

@channel 

We shipped [thing]. 

What it does: [one sentence, plain language].
Why we built it: [one sentence, the problem it solves].
Free tier: [what the free version includes].
Link: [URL]

Would especially like feedback from people who [specific user type] because [specific reason].

Discord Template 2: Research Drop Announcement

[Short summary of finding - two sentences max].

Full write-up: [link]

TL;DR: [Three bullet points with the key numbers or findings.]
- [Finding 1]
- [Finding 2]  
- [Finding 3]

[Question for community]: Has anyone seen [specific aspect of the finding] in their own deployments?

Discord Template 3: Community Resource Drop

Sharing something that might be useful: [brief description].

[What it is and why it exists in two sentences.]

Link: [URL]

Free to use. [Any relevant terms or conditions in one sentence.]

Feedback welcome in thread.

Discord Template 4: Update / Changelog Announcement

[Product name] update:

New: [most important new thing]
Fixed: [most important fix]
Changed: [anything behavior-changing]

Full changelog: [link]

If you are using [specific feature that changed], worth checking [specific thing].

Discord Template 5: Event or Deadline Reminder

Heads up: [event or deadline] is [timeframe].

[One sentence on why this matters for this specific community.]

[What action people should take, if any.]

More context: [link if applicable]

Part 4: Product Hunt Launch Day Templates

Product Hunt launches live or die on the first two hours. The maker comment, the first response to every comment, and the description all matter. These templates are optimized for technical products launching to the PH community.

Product Hunt Tagline Templates

Format: [What it is] for [who] that [what it does differently].

Example: Behavioral security scanner for AI agents that catches threats VirusTotal misses.

Alternative format: [Verb] [what you do] before [the bad thing that happens without your product].

Example: Scan AI agent skills before they execute malicious instructions in your environment.

Keep taglines under 60 characters when possible. Remove adjectives. The noun and verb carry the message.

Product Hunt Description Template

First paragraph (the hook - two sentences): What problem are you solving, and for whom? Be specific. No buzzwords.

Second paragraph (the mechanism - three sentences): How does it work? What is the key insight or approach? What makes it different?

Third paragraph (the evidence - two sentences): What data or results do you have? Real numbers only. No estimates presented as facts.

Fourth paragraph (the offer - two sentences): What is the free tier? What does Pro or paid include?

Fifth paragraph (the CTA - one sentence): What do you want the reader to do right now?

Product Hunt Maker Comment Template

Hi Product Hunt,

[One sentence on who you are and what context you bring to this problem.]

[Two sentences on the specific problem that led to building this. Personal if possible - why did you encounter this problem?]

[One sentence on the key insight or approach.]

[One sentence on what you are most proud of in the current version.]

[One sentence on what you are working on next.]

[Genuine request for feedback]: Especially interested in hearing from people who [specific use case], because [specific reason that feedback is valuable].

Happy to answer any questions about [specific technical aspect] - that is where I can give the most useful answers.

Product Hunt Comment Response Templates

For positive comments: [Acknowledge the specific thing they liked.] [Add one piece of context that makes it more interesting.] [Connect it to what is coming next.]

For technical questions: [Answer the question directly in one sentence.] [Explain the reasoning in one or two sentences.] [If there is a tradeoff, acknowledge it.]

For feature requests: [Confirm you understand what they want.] [Share where this sits in your roadmap (or why it is not there).] [Ask one clarifying question if their request needs more context.]

For criticism or concerns: [Acknowledge the concern without defensive framing.] [Explain your current approach and why.] [Ask what outcome they are trying to achieve - often the real need is different from the stated concern.]

Part 5: Visual Design Guidelines for AI and Tech Brands

Color Schemes That Work

Dark primary with bright accent: The dominant pattern in AI tooling brands. Primary background: deep navy (#0A0F1E), charcoal (#1A1A2E), or near-black (#0D0D0D). Accent: electric blue (#00D4FF), bright green (#00FF94), or purple (#7B2FBE). Text: off-white (#E8E8E8) rather than pure white to reduce eye strain. Use pure white only for primary CTAs.

Why this works: High contrast reads well on mobile. Dark backgrounds reduce cognitive load for technical users spending long sessions. The bright accent creates clear visual hierarchy and is memorable in feeds dominated by light-mode content.

Monochrome with single accent: Cleaner execution but requires stronger typography. Primary: black or near-black. Secondary surfaces: dark gray (#2A2A2A). Single accent color used exclusively for CTAs and key data points. Everything else is grayscale. Execution risk: if the typography is not excellent, it reads as unfinished.

Avoid: Gradients as primary backgrounds (dated), multiple accent colors (no clear hierarchy), light mode with muted colors (disappears in feeds), stock-photo illustration styles (generic).

Typography Recommendations

Heading font: Inter (free, Google Fonts), Geist (free, Vercel), or Space Grotesk (free, Google Fonts). All three are designed for screen readability, have good weight variety for hierarchy, and read as modern without being trendy.

Body font: Same family as heading if the family has a regular weight that reads cleanly at small sizes. Alternatively, pair a geometric heading (Inter) with a humanist body (Source Sans Pro) for contrast.

Monospace for code and data: Fira Code or JetBrains Mono. Using a proper monospace font for technical content (API responses, code snippets, data tables) signals that you understand the audience.

Avoid: Decorative fonts for anything that needs to be read quickly. System fonts for hero/headline text (they communicate no brand investment). Font weights that are either too light (illegible on mobile) or too heavy (loses at small sizes).

Banner Size Specifications by Platform

Twitter/X: Profile banner 1500 x 500px. Safe zone for text and logos: center 1200 x 300px (outer edges are cropped on some views). Use 2x resolution (3000 x 1000px) for retina displays. Key message should be readable at thumbnail size.

LinkedIn: Personal banner 1584 x 396px. Company page banner 1128 x 191px. Cover image for posts: 1200 x 627px (this is also the standard OG image size). Profile photo shows as circle - keep subject centered with clear margin.

Discord: Server banner 960 x 540px (16:9 ratio). Server icon displays at 512 x 512px but scales to 32 x 32px in some views - must be readable at small sizes. Channel-specific banners: no fixed standard, use 16:9 or 4:3.

Product Hunt: Thumbnail 240 x 240px (square, usually your logo or product screenshot). Gallery images: 1270 x 760px recommended. Screenshots: use actual product screenshots at 1440px width, scaled for the gallery.

GitHub: Social preview image 1280 x 640px. This shows when your repo is shared on social. Include: repo name, one-line description, language/framework, and a visual that communicates what the project does.

OG Image Best Practices

Standard OG image size: 1200 x 630px. Twitter/X also accepts 1200 x 600px (slightly different ratio - use 1200 x 630px for broadest compatibility).

What to include on an OG image: Title of the article or page (large, readable at thumbnail), site name or brand (smaller, consistent placement - bottom left or top right), a simple visual element that communicates the topic (icon, abstract graphic, or product screenshot - not a photograph unless it is clearly relevant), and optionally a one-line summary if the title does not stand alone.

What to avoid on OG images: Text smaller than 24pt (unreadable at preview size), photographs that look generic (stock photo backgrounds undermine credibility), gradients with text overlay without sufficient contrast (fails accessibility and looks bad on mobile), and too much content (OG images are seen for two seconds - one message only).

Testing: Use Twitter Card Validator (cards-dev.twitter.com/validator) and LinkedIn Post Inspector (linkedin.com/post-inspector) to preview before posting. OG images are cached - if you update an image, you need to clear the cache using these tools.

Part 6: Content Calendar Template

Weekly Posting Schedule

This schedule assumes a single person or small team managing social presence across multiple platforms. The goal is consistency over volume.

Monday: LinkedIn post. Purpose: set the professional context for the week. Content pillar: educational. Format: landscape map, research finding, or technical explanation. Audience: professionals and potential enterprise buyers. Tone: credible, not salesy.

Tuesday: Twitter/X thread. Purpose: drive community engagement early in the week. Content pillar: educational or community. Format: technical thread (Template 3) or research thread (Template 1). Audience: developers and builders. Tone: direct and specific.

Wednesday: Blog post (if available) shared across all platforms. Short-form announcement on Twitter/X and Discord. Cross-linking the article URL. Wednesday posts have higher reach in the developer community based on published engagement data.

Thursday: Twitter/X single post or hot take. Purpose: engagement farming. Content pillar: community. Format: a single bold statement or question. Tone: provocative but defensible. Do not post hot takes you cannot back up with data when challenged.

Friday: Discord engagement post. Purpose: end-of-week community interaction. Content pillar: community. Format: resource drop, tool recommendation, or question for the community. Shorter week, less pressure - this post should feel light.

Saturday/Sunday: No scheduled posts. Respond to comments and DMs from the week. Note what generated the most engagement for next week's planning.

Content Pillar Framework

Pillar 1 - Educational (50% of content): Teaches something useful. The reader learns a concept, framework, or technique they can apply. Does not require them to use your product to get value. Examples: technical explanations, security findings, landscape maps, how-to guides. Purpose: builds trust and authority. Audience growth happens here.

Pillar 2 - Promotional (20% of content): Directly promotes a product, feature, or service. Clear CTA to try, buy, or sign up. Includes pricing or offer details. Honest about what it costs and what the free tier includes. Examples: product launches, feature releases, pricing updates, case studies. Purpose: converts existing audience into users. Does not grow audience on its own.

Pillar 3 - Community (30% of content): Participates in and contributes to community conversations. Shares others' work when it is genuinely useful. Asks questions you want answered. Responds to community threads. Examples: hot takes, questions, reactions to news, resource sharing. Purpose: social capital accumulation and relationship building. The posts most likely to generate replies and follows.

Engagement Timing Data

Twitter/X: Peak engagement windows for the AI/developer community are Tuesday through Thursday, 9-11am EST and 2-4pm EST. Weekend posts have lower reach but higher engagement rate from people who actively seek out content (self-selecting audience). Avoid Monday morning (people catching up on work) and Friday afternoon (people leaving for the weekend).

LinkedIn: Tuesday and Wednesday, 8-10am and 12-2pm in the reader's timezone. The algorithm heavily weights first-hour engagement - having a small group that consistently engages with your posts in the first hour significantly increases reach. Schedule posts for when your core audience is active.

Discord: Activity patterns vary by server. Check the server's own analytics if you have admin access. General pattern: evenings and weekends see the most engagement in developer/AI servers. Announcements posted during peak activity get 3-5x more reactions than off-peak posts.

Product Hunt: Launch at 12:01am PST Tuesday or Wednesday. This gives the full day on PH's peak traffic day. First two hours are critical - have five to ten people ready to upvote and comment immediately at launch. Do not ask for upvotes publicly (PH penalizes this); instead, notify your existing user base by email or community post that you are launching.

Part 7: Copy Templates for Specific Use Cases

Product Launch Announcement Copy

For email or newsletter:

Subject: [Product name] is live

Body: We built [product] to solve [specific problem]. After [brief context on development/research], it is ready.

What it does: [two sentences, plain language].

What it costs: Free tier: [what is included]. [Paid tier name]: $[price]/month, includes [what is included].

Try it: [URL]

If you try it and hit something broken, reply to this email. I read every response.

For blog post promotion:

Twitter/X: [Article title] - [one sentence on the key finding or insight]. [Link]

LinkedIn: [First two sentences of the article, quoted directly]. Full piece: [link]

Discord: New post: [title]. [Three-bullet TL;DR]. [Link]

Feature Update Announcement Copy

Twitter/X single post: [Product name] update: [what changed in plain language]. [Why we changed it - one sentence]. [Link to changelog or announcement].

LinkedIn: We updated [specific feature] in [product name].

Before: [what it did]. After: [what it does now].

Why: [one or two sentences on the reasoning].

If you were using [old behavior], [what you need to know about the change].

[Link to documentation or changelog].

Discord announcement: [Product name] [version or date]: [most important change]. [Second most important change if applicable]. [Link to full changelog]. Questions in thread.

Community Engagement Post Copy

The ask: I am trying to understand [specific thing]. If you have experience with [specific situation], I would like to hear what you did and what happened. Not looking for advice - looking for data points. Reply here or DM.

The share: [Something you found useful, with context on why.] [Link.] Worth reading if you are working on [specific problem].

The hot take: [Bold statement.] [One sentence on why you believe it.] [One sentence on where you could be wrong.] Disagree? Tell me the counterargument.

Technical Blog Promotion Copy

Twitter/X thread intro (adapted from Template 1): [Article topic] thread. The key finding: [one sentence with the most surprising or useful thing in the piece]. Full article below, thread hits the highlights.

LinkedIn intro: I wrote about [topic]. The finding that surprised me most: [specific data point or insight]. Full piece here: [link]. [Two sentences expanding on why the finding matters for the reader's professional context].

Discord drop: New article: [title]. [TL;DR in two sentences]. [Link]. The part I most want feedback on: [specific section or claim].

Notes on Using This Pack

These templates are starting points. The best performing social content combines a replicable structure with something specific and true that only you can say. The structure gets you started. The specificity is what makes it work.

The key variables that determine performance: specificity of the hook (vague claims do not get clicks), honesty about limitations and uncertainty (credibility in technical communities is built through acknowledging what you do not know), and genuine engagement questions (ask things you actually want answered).

Do not post all of this at once. The content calendar framework in Part 6 gives a sustainable cadence. Consistency over six months will outperform a launch spike every time in the developer community.