Hashtag Strategy

Organization

social-media-skills

hashtag-strategy

Use to build a hashtag and discoverability strategy for social posts — the modern (2026) approach, not the outdated "30 hashtags to go viral" playbook. Run when the user says "hashtags," "what hashtags should I use," "how many hashtags," "hashtag strategy," "help me get discovered/reach," asks "do hashtags still work / are hashtags dead," or asks how to tag a post. Reads brand-profile and audience first. Sets the keyword/social-SEO layer first (caption, on-screen text, spoken audio) because that — plus engagement and the content itself — drives discovery far more than hashtags now; then picks a tight, relevant, per-platform hashtag set (respecting caps like Instagram's enforced 5-tag limit), favors niche/mid-tier tags over generic mega-tags, and designs branded/campaign hashtags for community and tracking. Rotates sets rather than copy-pasting one block, and hands placement/publishing to scheduling-and-queue. Sets honest expectations: hashtags categorize and aid search; they are not a reach hack.

Overview

Publisher	social-media-skills
Repository	`skills`
Skill name	`hashtag-strategy`
Stars	215
Forks	44
Bundled files	5
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
5 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by social-media-skills on GitHub. Read the source before you install it.

Installation

Install the Hashtag Strategy AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/social-media-skills/skills/tree/main/skills/hashtag-strategy
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/social-media-skills/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/hashtag-strategy .claude/skills/hashtag-strategy

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hashtag Strategy in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Hashtag Strategy on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Hashtag Strategy is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Hashtag Strategy

The most valuable thing this skill does is correct an outdated belief. In 2026, hashtags are not a reach hack — platforms understand content directly (captions, on-screen text, audio, visuals, engagement), so tags now mostly categorize a post and aid search. Instagram even removed hashtag-following (2024) and caps hashtags at 5 (2025), and its own head has said more tags don't mean more reach.

So this skill does two jobs, in order:

The keyword / social-SEO layer first — the real discovery lever. Platforms are search engines now; they index your caption, on-screen text, and spoken audio.
A tight, relevant hashtag set on top — per platform, within caps, niche over generic — plus branded/campaign tags where community applies.

(Full reasoning in references/the-2026-reality.md.)

Step 0 — Read the foundation + the post

Load brand-profile.md and audience.md, and look at the actual content/caption being tagged. Tags must match real content and the audience's real searches.

Step 1 — Set the keyword / social-SEO layer (the real lever)

Pick the primary keyword (how the audience actually searches) + a couple of variations, and place them where platforms index:

Caption, front-loaded (the first ~80 chars carry most weight).
On-screen text (Reels/TikTok/Shorts).
Spoken audio (video) — say the keyword aloud; on TikTok the "triple mention" (say + show + caption) is the core ranking move.

This does more for discovery than any tag. Don't skip it to jump to hashtags.

Step 2 — Pick a tight, relevant hashtag set per platform

Per references/platform-playbook.md: Instagram 3–5 (hard cap 5), TikTok 3–5 as keywords, LinkedIn 3–5 specific, X 0–2, Threads 1, Pinterest/YouTube keywords-led. Favor mid-tier/niche tags (~10K–500K posts) over mega-tags; mix topic + niche/community + (sometimes) location/branded. Vet each tag on its page before using (see references/research-and-types.md).

Step 3 — Add branded / campaign tags where they apply

For community/UGC/tracking, design a branded tag (ongoing) or campaign tag (time-bound): short, unique, unused, typo-safe, on-brand, and promoted in bio/caption/CTA. This is the one place hashtags still pull real weight.

Step 4 — Rotate sets; place; publish

Build 2–4 reusable sets per pillar and rotate by what each post is about — don't paste one identical block.
Placement: caption (best for search/SEO on most platforms).
Publish: hand the post + tags to scheduling-and-queue. Respect the IG 5-cap so a post isn't blocked/trimmed.

Quality bar — self-check

Did I lead with the keyword/SEO layer, not hashtags?
Is the tag set tight, relevant, niche/mid-tier, and within the platform's cap?
Is it per-platform, not one block everywhere?
Did I avoid generic mega-tags / #fyp / 30-tag dumps?
Did I add a branded/campaign tag where community/UGC applies?
Are sets rotated, and is the expectation set honestly (categorize + search, not reach)?
No analytics claims WoopSocial can't back?

Edge cases & pushback

"Give me 30 to go viral" → push back: more tags ≠ more reach; IG caps at 5; redirect to keywords + content + engagement. Deliver a tight set.
"Add #fyp #viral #explore" → decline generic mega-tags; explain #fyp doesn't affect the FYP; offer niche/mid-tier.
"Same block on every post" → rotate relevant sets; note copy-paste is low-effort (and frame the shadowban claim accurately — unconfirmed, but relevance/rotation still wins).
"Which hashtags perform best for us?" → no WoopSocial analytics; point to native reach-from-hashtags insights or qualitative review.
Wrong platform → don't tag X like Instagram; match the playbook.
Regulated/sensitive → avoid tags implying unverifiable claims; carry brand guardrails.

Related skills

brand-profile, audience-research — relevance + how the audience searches.
caption-writer, tiktok-script, reels-script, carousel-writer, linkedin-post-writer — where the keyword/SEO layer and tags actually live.
social-seo, ai-search-optimization — the deeper search/discoverability skills.
trend-jacking — riding a live tag/sound moment (vs. evergreen tags here).
scheduling-and-queue — publish with the tags in the caption.

References

references/the-2026-reality.md — why hashtags ≠ reach now; what they do; the real levers; myths.
references/platform-playbook.md — per-platform counts, caps, and the real lever for each.
references/research-and-types.md — the 8 tag types, vetting, rotating sets, branded/campaign design.
references/examples.md — worked keyword+tag sets per platform, vs the old 30-tag block.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Hashtag Strategy AI skill do?

Why use Hashtag Strategy on TypingMind?

Because you install it once and use it with any model. Hashtag Strategy is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Hashtag Strategy in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/social-media-skills/skills/tree/main/skills/hashtag-strategy. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Hashtag Strategy?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Hashtag Strategy?

As many as you like. As long as a model supports skills, you can use Hashtag Strategy with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Hashtag Strategy AI skill free?

Yes. It is published on GitHub by social-media-skills under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Hashtag Strategy

Step 0 — Read the foundation + the post

Step 1 — Set the keyword / social-SEO layer (the real lever)

Step 2 — Pick a tight, relevant hashtag set per platform

Step 3 — Add branded / campaign tags where they apply

Step 4 — Rotate sets; place; publish

Quality bar — self-check

Edge cases & pushback

Related skills

References

Bundled files

Frequently asked questions

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