Instagram Seo logo

Instagram Seo

Organization
social-media-skills
instagram-seo

The Instagram SEO / keyword-search skill -- IG-specific search depth, distinct from the cross-cutting social-seo. Use when someone wants an Instagram post/Reel to rank in search, needs IG keyword research, or wants a searchable caption/profile. Instagram shifted from hashtag-based discovery to keyword-based search (hashtags deprioritized to 3-5 topic labels). Search runs semantic analysis -> metadata matching -> visual recognition (checks alt text + visual MATCH the caption). Uses the MATCH framework. Reads brand-profile + the post's topic first. The agent researches the keyword cluster (never fabricates volume), writes the search-first caption (primary keyword first, no stuffing), specs on-screen text + spoken keyword, and advises profile fields/alt text. WoopSocial publishes the caption; profile fields, alt text, and IG Search/Insights stay native. No keyword stuffing; caption must match the visual. Distinct from social-seo, pinterest-seo, and hashtag-strategy.

Overview

Publishersocial-media-skills
Repositoryskills
Skill nameinstagram-seo
Stars
215
Forks
44
Bundled files
5
LicenseMIT
Links
  • 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 Instagram Seo AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/social-media-skills/skills/tree/main/skills/instagram-seo
  4. 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.
2

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/instagram-seo .claude/skills/instagram-seo
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Instagram Seo 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 Instagram Seo 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 Instagram Seo 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.

instagram-seo

The IG keyword-search layer — research the queries and write the keyworded caption (and advise the profile labels + visual signals) that make a post rank in Instagram search. The agent researches + writes the search-first caption + specs the on-screen/spoken keyword + advises the profile/alt text; WoopSocial publishes the caption; the Name field, handle, bio, alt text, category, and auto-captions are native/ advised, and on-screen text/audio come from other tools/the creator.

The POV: Instagram is a keyword search engine — keywords replaced hashtags

Since late 2024 (official in 2026), IG shifted from hashtag-based discovery to keyword-based search — hashtags are deprioritized to 3–5 topic labels, and a large and growing share of discovery/new followers now starts from search (verify-quarterly; never quote a precise share). It's a closed system (no external crawl/backlinks) but Google + Bing index IG captions. Search runs semantic analysis → metadata matching (Name field/bio/caption keyword cluster) → visual recognition (Computer Vision checks the alt text + visual match the caption — a mismatch lowers ranking). WoopSocial publishes the caption; the profile labels, alt text, on-screen text, audio, and settings are native/ advised/other-tools. Pairs with caption-writer (the keyword goes in the searchable caption).

Read these first

  1. brand-profile — niche/voice.
  2. the post topic/destination.

The framework: MATCH

(Depth: references/the-match-framework.md.)

  • M — Mine the real queries: scan top Reels' captions/on-screen text + competitor Name fields + Google "People Also Ask"; build a 3–5 keyword cluster. Method only; never fabricate volume.
  • A — Anchor the caption to search: lead the first sentence / ~125 chars with the primary keyword (natural long-tail); weave the cluster; 3–5 hashtag labels — the publishable surface (content.text).
  • T — Tag the profile labels: Name field ("Name | Niche"), keyworded handle, indexable bio (niche/offer/ location/CTA). Profile-level — native/advised.
  • C — Confirm the visual matches: alt text + on-screen text + first-3-sec spoken keyword reinforce and match the caption (Computer Vision); auto-captions on; remove other-platform watermarks. On-screen → image/video tool; script → reels-script; alt text → native.
  • H — Harvest over time across search + Explore: search = keyword-driven, Explore = behaviour-driven; optimize for saves/shares/watch-time; compounds over 90–120 days; no stuffing / irrelevant tags.

The reality (verify-quarterly)

Keyword-based since late 2024 (official 2026); hashtags 3–5 labels; a growing share of discovery from search; closed system but Google/Bing index captions; 3-step search (semantic → metadata cluster → Computer Vision alt-text/ visual match); surfaces (Name field high weight, handle, indexable bio, search-first captions [primary keyword first sentence/125 chars, 150–300 words], alt text [must match], on-screen text transcribed, audio transcribed [first-3-sec keyword], auto-captions lift watch time + are indexed, category/location, 3–5 cluster); search vs Explore; engagement (saves/shares/watch-time/replays > likes; completion); Reels deprioritized (watermarks/ low-res); the Raw Content Revolution (human-made, retention/sends); research method + slow-burn timeline (2–4 wk / 30–60 day / 90–120 day): references/instagram-seo-2026-reality.md. The research method, the surface map (publishable vs native vs other-tools), the caption template, the must-match checklist, the publish block + worked examples: references/keyword-research-and-surfaces.md.

Honest scope (never violate)

  • The agent researches keywords (advises the method, never fabricates volume), writes the search-first caption (content.text, primary keyword first, no stuffing, 3–5 hashtag labels), specs the on-screen text + first-3-sec spoken keyword, and advises Name field/handle/bio/alt text/category.
  • WoopSocial publishes the IG post's caption (POST/REEL/STORY via content.text).
  • WoopSocial does NOT: set Name field/handle/bio (profile — native), alt text (native/at-post), category/location (native), toggle auto-captions (native), read IG Search/Insights (native), render the on-screen text (image/video tool), or record the spoken audio (creator/reels-script).
  • No keyword stuffing (suppressed); no irrelevant hashtags (hurt credibility); the caption must MATCH the visual (Computer Vision — no misleading); remove other-platform watermarks; never fabricate volume or rankings. (Scope, distinctions + connections: references/scope-and-connections.md.)

Distinct from its siblings (route correctly)

instagram-seo (this) = IG-specific keyword search (Name field, closed-system + Google-indexed, Computer Vision caption-visual match, first-3-sec spoken keyword) · social-seo = the cross-cutting framework · pinterest-seo = Pinterest (boards/Trends/Rich Pins, an open web-indexed system) · hashtag-strategy = deprioritized to 3–5 (they pair: tags label, keywords discover) · caption-writer = the craft (pairs) · reels-script = the Reel script.

Where this connects

Reads first: brand-profile + the post topic. Pairs with: caption-writer (the caption), hashtag-strategy (the 3–5 labels), reels-script (the first-3-sec spoken keyword), ideogram/the video tools (the on-screen text overlay). Routes to/from: instagram-growth (the strategy), social-seo/ ai-search-optimization (the cross-platform + AI search picture), content-recycling (re-cut a winning Reel into a keyworded carousel). Publishes via: scheduling-and-queue → WoopSocial (the caption; POST/REEL/ STORY) + platform-specs-and-validation. Measures with: native IG Insights + analytics-and-reporting (profile visits from search, saves, non-follower reach). Profile, alt text, settings + IG Search stay native.

Definition of done

Real queries mined via top-Reel scans + competitor Name fields + Google "People Also Ask" into a 3–5 keyword cluster (method advised, no fabricated volume); a search-first caption with the primary keyword in the first sentence (natural long-tail, no stuffing, 3–5 hashtag labels) written as the publishable surface; the Name field ("Name | Niche"), handle, bio, and alt text advised; the on-screen text + first-3-sec spoken keyword specced (to reels-script + an image/video tool) and confirmed to MATCH the caption with auto-captions on and no watermark; the caption published via WoopSocial while profile/alt-text/category/auto-captions/IG-Search stay native; no keyword stuffing, no irrelevant tags, no caption-visual mismatch, nothing fabricated; correctly distinguished from social-seo and pinterest-seo and paired with caption-writer.

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 Instagram Seo AI skill do?

The Instagram SEO / keyword-search skill -- IG-specific search depth, distinct from the cross-cutting social-seo. Use when someone wants an Instagram post/Reel to rank in search, needs IG keyword research, or wants a searchable caption/profile. Instagram shifted from hashtag-based discovery to keyword-based search (hashtags deprioritized to 3-5 topic labels). Search runs semantic analysis -> metadata matching -> visual recognition (checks alt text + visual MATCH the caption). Uses the MATCH framework. Reads brand-profile + the post's topic first. The agent researches the keyword cluster (ne...

Why use Instagram Seo on TypingMind?

Because you install it once and use it with any model. Instagram Seo 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 Instagram Seo in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/social-media-skills/skills/tree/main/skills/instagram-seo. 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 Instagram Seo?

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 Instagram Seo?

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

Is the Instagram Seo 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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