Threads Growth logo

Threads Growth

Organization
social-media-skills
threads-growth

The Threads account-growth strategy skill -- the channel layer above threads-post. Use when someone wants to grow a Threads account, understand the Threads algorithm, fix reach, plan cadence, or set a Threads strategy. Threads is conversation-first, and the #1 growth lever is Mosseri's "reply more than you post": replies are weighted heaviest and first-hour engagement velocity is the top ranking factor. Uses the TALKS framework. Reads brand-profile + goals-and-kpis first. The agent strategizes the channel + drafts original posts (published via WoopSocial) and suggested replies; BUT the reply flywheel is human/community-management (no reply surface in WoopSocial), and Communities/DMs/dashboards/analytics are native. No engagement-bait, original not recycled, positive tone, metrics never fabricated, growth compounds over 60-90 days. Distinct from threads-post (the single-post craft) and community-management (the reply execution); uses Threads as a discovery funnel into instagram-growth.

Overview

Publishersocial-media-skills
Repositoryskills
Skill namethreads-growth
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 Threads Growth 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/threads-growth
  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/threads-growth .claude/skills/threads-growth
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Threads Growth 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 Threads Growth 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 Threads Growth 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.

threads-growth

The account-strategy keystone above threads-post — set the conversation-first channel strategy (niche, cadence, the reply-more-than-post engine, format mix, the Threads→IG funnel, metrics). The agent strategizes + drafts the original posts + can draft suggested replies; WoopSocial publishes the original posts; the reply flywheel, Communities, DMs, dashboards, and analytics are human/native.

The POV: conversation-first — grow by replying more than you post

Threads (~500M MAU mid-2026; ~141.5M daily mobile, more than X; ~6.25% engagement, far above X) is neither X nor Instagram — a conversation-first, positive platform where dunks and negativity get throttled. The defining lever is Mosseri's "reply much more than you post": replies are weighted heaviest, your own replies count, and first-hour engagement velocity is the #1 ranking factor. It's an interest graph (For You surfaces new accounts), so small accounts can break out — but growth compounds over 60–90 days. WoopSocial publishes the original posts; the reply flywheel is human.

Read these first

  1. brand-profile — niche/voice.
  2. goals-and-kpis — the growth goal + metric.

The framework: TALKS

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

  • T — Talk more than you post: reply much more than you post; your own replies count; leap into relevant conversations fast. The reply flywheel is run by a human/community-management.
  • A — Anchor one niche/angle: one sharp value promise; niche consistency (1–2 areas) → interest-graph classification + trust.
  • L — Land the first hour: engagement velocity is the #1 factor (50 likes/30 min > 100/24h); post when the audience is awake and stay to reply; one topic tag.
  • K — Keep it original + positive: original > recycled (recycled demoted); no engagement-bait (downranked); positive/constructive (negativity throttled); photos +60% / video / links +17% under media; one topic tag. (Post craft → threads-post.)
  • S — Sustain + funnel to Instagram: 3–5/week (not >3/day); compounds over 60–90 days; Threads (discovery) → Instagram (conversion), repurpose top posts in 24–72h; track reach, replies ÷ reach, follower growth.

The reality (verify-quarterly)

Conversation-first / positive culture; reply-more-than-you-post (replies heaviest, your replies count, first-hour velocity = #1 factor); algorithm (multi-ML, For You interest-graph / Following chrono, Dear Algo; saves/shares > likes; IG graph cross-pollinates but ≠ auto success; originality prioritized, engagement-bait downranked, Account Status dashboard); format mix (photos +60%, video, links +17% under media; ONE topic tag not hashtags); cadence (3–5/week, not >3/day); niche consistency; timing + the 60–90 day compounding; Communities + DMs; Threads → IG funnel; metrics (replies ÷ reach, follower growth): references/threads-growth-2026-reality.md. The reply-flywheel play, niche worksheet, cadence/timing, format mix, the funnel recipe, the metrics dashboard + worked examples: references/growth-plays-and-funnel.md.

Honest scope (never violate)

  • The agent sets the strategy, drafts the original posts, and can draft suggested replies.
  • WoopSocial publishes ONE Threads post (text + media, ≤500 chars, one topic tag in the text) on a schedule — the bridge for original posts.
  • The reply flywheel — the #1 growth lever — is human/community-management (no reply surface in WoopSocial). Communities, DMs, the Account Status dashboard, Threads analytics, and "Dear Algo" are native.
  • No engagement-bait (downranked); original, not recycled (prioritized); positive tone (negativity throttled); an IG following ≠ automatic Threads success; never fabricate metrics; growth compounds (60–90 days), not overnight. (Scope, distinctions + connections: references/scope-and- connections.md.)

Distinct from its siblings (route correctly)

threads-growth (this) = the account STRATEGY (conversation-first, reply-more-than-post cadence, niche, funnel, metrics) · threads-post = the single-post CRAFT (one ≤500-char post; REPLY framework) · community-management = the reply execution + audience→community (the reply flywheel runs here) · x-growth = X (news/dunks, different culture) · instagram-growth = the funnel's conversion side · caption-writer/hook-writer = the copy lines.

Where this connects

Reads first: brand-profile, goals-and-kpis. Routes craft to: threads-post (the post), caption-writer/hook-writer (lines), nano-banana/ideogram (the +60% photo), community-management (the reply flywheel + Communities/DMs). Funnels to: instagram-growth (conversion), cross-platform-repurposing/content-recycling (repurpose top posts in 24–72h), link-in-bio-and-traffic. Publishes via: scheduling-and-queue → WoopSocial (original posts) + platform-specs-and-validation. Measures with: native Threads analytics + analytics-and-reporting. The reply flywheel, Communities, DMs, dashboards + analytics stay human/native.

Definition of done

A conversation-first strategy built on replying more than posting, with one sharp niche/angle for interest-graph classification; a first-hour velocity plan (post when awake, stay to reply, one topic tag); an original, positive format mix (photos/video over text-only, one tag) routed to threads-post for the craft; a sustainable 3–5/week cadence with a 60–90 day horizon and a Threads→Instagram funnel; metrics defined (reach, replies ÷ reach, follower growth) and read from native analytics; the original posts published via WoopSocial while the reply flywheel, Communities, DMs, dashboards, and analytics stay human/native; no engagement-bait, no recycled content, nothing fabricated, no overnight promises; correctly distinguished from threads-post and community-management.

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 Threads Growth AI skill do?

The Threads account-growth strategy skill -- the channel layer above threads-post. Use when someone wants to grow a Threads account, understand the Threads algorithm, fix reach, plan cadence, or set a Threads strategy. Threads is conversation-first, and the #1 growth lever is Mosseri's "reply more than you post": replies are weighted heaviest and first-hour engagement velocity is the top ranking factor. Uses the TALKS framework. Reads brand-profile + goals-and-kpis first. The agent strategizes the channel + drafts original posts (published via WoopSocial) and suggested replies; BUT the repl...

Why use Threads Growth on TypingMind?

Because you install it once and use it with any model. Threads Growth 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 Threads Growth in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/social-media-skills/skills/tree/main/skills/threads-growth. 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 Threads Growth?

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 Threads Growth?

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

Is the Threads Growth 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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