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Kai Social

Community
cgallic
kai-social

Plan and batch-produce social media content across platforms (Instagram, X/Twitter, TikTok, LinkedIn, YouTube). Generates a week or month of posts with platform-specific formatting, hashtags, hooks, and posting schedule. Use when "social media posts", "social calendar", "plan social content", "Instagram posts", "tweets", "LinkedIn posts", "TikTok ideas", "social media strategy", "batch social", or any request to systematically produce social media content.

Overview

Publishercgallic
Repositorykai-cmo-harness
Skill namekai-social
Stars
61
Forks
8
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by cgallic on GitHub. Read the source before you install it.

Installation

Install the Kai Social 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/cgallic/kai-cmo-harness/tree/main/harness/skills-v2/kai-social
  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/cgallic/kai-cmo-harness.git /tmp/kai-cmo-harness
mkdir -p .claude/skills
cp -r /tmp/kai-cmo-harness/harness/skills-v2/kai-social .claude/skills/kai-social
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Kai Social 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 Kai Social 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 Kai Social 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.

/kai-social — A Week or Month of Posts, Ready to Schedule

Kai root note: knowledge/, harness/, and scripts/ paths in this skill live in the Kai install, not the user's project. Resolve them against the first ancestor directory of this SKILL.md that contains a knowledge/ folder (the Kai plugin root, ~/.claude/kai, or the kai-cmo-harness repo). MARKETING.md, memory/, and any output files live in the current project. If a referenced scripts/ command is not available in this install, say so, skip it, and continue with the file-based guidance — never fabricate its output.

Objective

A calendar the user approves, then a batch of finished posts against it — each one written natively for its platform, each carrying a hook that survives the first line or first three seconds, and none of which could have been written for any other brand. The batch is scheduleable as-is: copy, hashtags where they apply, visual direction, posting time.

The failure mode this skill exists to prevent is one post reformatted five ways. Platform-native means written for the platform, not resized for it.

Done when

Work type social-post — floor E5/C2/O3 (harness/eco-floors.yaml), read per post.

  • E5 — the provider returns a post id and the public permalink read-back matches the approved text. Drafting reaches E2 (harness/skill-contracts/social-post.yaml satisfied); the calendar's approval reaches E3; only publishing carries a post to E5. A batch sitting in workspace/social/ is not shipped.
  • C2 — four_us_score at 10/16 minimum and banned_word_check pass on every post.
  • O3 — reach, engagement rate, profile clicks, and link clicks read from platform insights at 7 days.

Constraints

  • Approval gate before production. Present the calendar and get sign-off before writing posts. Publishing is a second, separate approval — this skill does not post to any live account.
  • Load the platform's organic posting rules before writing for that platform, same as ad policy references bind ad copy: harness/references/x-organic-posting-rules.md, harness/references/meta-organic-posting-rules.md (Instagram/Facebook/Threads), harness/references/linkedin-organic-posting-rules.md, harness/references/tiktok-organic-posting-rules.md, harness/references/youtube-organic-posting-rules.md, harness/references/pinterest-organic-posting-rules.md, harness/references/snapchat-organic-posting-rules.md, harness/references/reddit-organic-posting-rules.md. Automation and volume limits: harness/references/social-automation-rules.md.
  • Material connections get disclosed — paid, gifted, affiliate, or employee-authored content follows harness/references/creator-disclosure.md. No buried #ad.
  • No invented proof. Customer results, metrics, testimonials, and case-study numbers come from a source or they do not appear. A social-proof pillar with no proof is a data gap, not a creative prompt.
  • Read MARKETING.md from the project root before asking the user anything. If it does not exist, build it from the codebase — README, manifests, landing pages, route files, analytics and email config — and confirm the draft.

Per-post bar — every post clears all six:

  1. Hook in the first line. No warm-up, no preamble.
  2. Zero banned words.
  3. Zero AI slop.
  4. Platform character limits respected.
  5. One CTA, or none for a pure value post.
  6. Not generic — it could only have come from this brand.

Pillar mix — the default balance, adjusted only for a stated reason:

PillarShare
Value / educational40%
Social proof25%
Product20%
Culture / behind-the-scenes15%

Platform format contracts:

PlatformFormat
LinkedInHook line (pattern interrupt or bold claim), 3–5 short paragraphs, line breaks between every thought, CTA at the end, 1200–1500 chars optimal
X/TwitterSingle tweets max 280 chars with the hook front-loaded; threads 3–7 tweets, each standalone valuable, numbered, CTA or summary at the end
InstagramCaptions 150–300 words with the hook before the "…more" cut; carousels 5–10 slides, one idea per slide, bold text; Reels scripted with the hook in the first 3 seconds
TikTokHook in the first 2 seconds (question, bold claim, or visual pattern interrupt), 15–60 second script, trending format adaptation, CTA as the last frame
YouTubeShorts 30–60 second hook-first script; community posts as a poll or discussion question

Context

Seven things must be known before the calendar is built — MARKETING.md answers most: what the brand is posting about, which platforms, the time horizon (one week or one month), cadence per platform, the content pillars (educational, behind-the-scenes, product, social proof, culture), tone (professional, casual, bold, irreverent), and what existing content — blog posts, videos, assets — can be repurposed.

NeedLoad
Output structure, gate thresholdsharness/skill-contracts/social-post.yaml
Cross-platform strategy and cadenceknowledge/playbooks/social-media-strategy.md
Instagram formats and behaviorknowledge/channels/instagram.md
X/Twitter formats and behaviorknowledge/channels/x-twitter.md
TikTok distribution mechanicsknowledge/channels/tiktok-algorithm.md
YouTube formatsknowledge/channels/youtube.md
LinkedIn long-formknowledge/channels/linkedin-articles.md
Product, ICP, voice, current channelsMARKETING.md (project root)

Output goes to workspace/social/: _calendar.md (day, platform, pillar, format, hook, status), one file per post under a per-platform folder (linkedin/, x-twitter/, instagram/, tiktok/), and _quality-report.md. Each post file carries format, hook, copy, hashtags where applicable, visual direction, and posting notes (best time, cross-post targets). Same paths as v1 — downstream tooling does not branch on version.

Escalate when

  • A pillar the user asked for has no sourced material behind it — social proof without results, product posts without a shipped feature.
  • The requested cadence exceeds what the platform's automation rules allow for the account type.
  • A post would make a regulated, health, financial, or comparative claim needing substantiation.
  • Content involves a creator, employee, or partner and the disclosure obligation is unresolved.
  • The user asks to publish or schedule directly to a live account.

Frequently asked questions

What does the Kai Social AI skill do?

Plan and batch-produce social media content across platforms (Instagram, X/Twitter, TikTok, LinkedIn, YouTube). Generates a week or month of posts with platform-specific formatting, hashtags, hooks, and posting schedule. Use when "social media posts", "social calendar", "plan social content", "Instagram posts", "tweets", "LinkedIn posts", "TikTok ideas", "social media strategy", "batch social", or any request to systematically produce social media content.

Why use Kai Social on TypingMind?

Because you install it once and use it with any model. Kai Social 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 Kai Social in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cgallic/kai-cmo-harness/tree/main/harness/skills-v2/kai-social. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Kai Social?

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 Kai Social?

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

Is the Kai Social AI skill free?

It is published on GitHub by cgallic. Check the repository for licensing terms. 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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