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Kai Content Calendar

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cgallic
kai-content-calendar

Plan and produce a content calendar — a month (or quarter) of blog posts, LinkedIn articles, and SEO content mapped to business goals, personas, and keywords. Generates briefs for each piece, optionally batch-produces all content with quality gates. Use when "content calendar", "plan blog content", "monthly content", "quarterly content plan", "what should we publish", "content strategy", "editorial calendar", or any request to plan multiple pieces of content over time.

Overview

Publishercgallic
Repositorykai-cmo-harness
Skill namekai-content-calendar
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 Content Calendar 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-content-calendar
  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-content-calendar .claude/skills/kai-content-calendar
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Kai Content Calendar 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 Content Calendar 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 Content Calendar 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 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

An approved editorial calendar covering a month or a quarter, where every slot has a scored reason to exist, a named persona, a keyword target, and a brief specific enough to write from. Content grouped into pillars and clusters so the calendar builds topical authority rather than accumulating unrelated posts. Optionally, the pieces themselves, produced and gated.

The kill list is part of the deliverable. A calendar that kept every idea was not a plan.

Done when

Work type strategy-plan (also_covers: content-calendar) — floor E3/C3/O1 (harness/eco-floors.yaml).

  • E3 — a named human approved the exact calendar: topics, angles, keyword targets, persona assignments, dates, and formats.
  • C3 — banned_word_check passes on the plan, and a named non-producer read it end to end. Every calendar row traces to a scored row in _idea-eval.md with a source location.
  • O1 — the calendar names the first piece it spawns, the metric that piece targets (organic clicks or impressions from Search Console), a baseline, a threshold, and an owner. Read at 30 days. A calendar nobody publishes from is not CLOSED.

When batch production runs, each produced piece carries its own floor, not the plan's: blog-post E5/C3/O3 with four_us_score ≥ 12/16, banned_word_check, and seo_lint; linkedin-article against harness/skill-contracts/linkedin-article.yaml at 12/16 with SEO lint skipped. Max 2 retries per piece, fixing only the named failing dimension.

Constraints

Idea eval is mandatory and visible. Score every candidate in workspace/content-calendar/_idea-eval.md before the calendar is presented — one row per idea with persona, source, score, decision, and reason.

Dimension (1–5 each)Passes when
Business fitSupports a real goal in MARKETING.md
Audience painSpeaks to a named persona problem
Proof availableHas source locations, data, a quote, a demo, or an example
Channel fitFits the intended format and cadence
NoveltyAdds information gain beyond generic advice

20–25 keep · 15–19 hold until proof or angle improves · 0–14 kill. The killed ideas stay visible in the file.

  • Every idea needs a source location or an explicit note that it came from internal strategy.
  • Do not fill the calendar with unsupported claims just to hit cadence. A short honest calendar beats a full invented one.
  • Treat the calendar as a dry run until the user approves topics, dates, and formats.
  • Rotate across the 8 personas in knowledge/personas/_persona-index.md. A calendar addressing one persona is a campaign, not a calendar.
  • Group into pillars (broad topics) and clusters (specific subtopics that link back) — this is what builds topical authority. Architecture: knowledge/frameworks/content-copywriting/qdp-qdh-qds-content-architecture.md.
  • Recommended cadence is 2–3 pieces per week for SEO traction; state it as a recommendation, not a mandate.
  • Search volumes, traffic estimates, and competitor figures are sourced or omitted. Never estimate a volume to justify a keyword.
  • All paths resolve relative to the repo root (the directory containing CLAUDE.md).

Every brief (schema: harness/brief-schema.md, output workspace/content-calendar/briefs/[week]-[slug].json) carries 3 hook variants, a specific angle that does more than restate the keyword, a named proof or data source, and a clear CTA.

Parallelization. Pieces in different pillars can be written in parallel. Pieces in the same cluster are written sequentially — internal linking and angle differentiation depend on knowing what the sibling piece said.

Know these before mapping anything (read MARKETING.md from the project root first; ask only for what it does not answer): the time horizon, the publishing cadence, which content types are in scope, the primary goal (SEO traffic, thought leadership, lead gen, product education), any keyword research already done, and what is already published that this should build on.

Context

NeedLoad
Pillar/cluster topical architectureknowledge/frameworks/content-copywriting/qdp-qdh-qds-content-architecture.md
The 8 personas and selection tablesknowledge/personas/_persona-index.md
Brief schemaharness/brief-schema.md
Blog/SEO writing rulesknowledge/frameworks/content-copywriting/algorithmic-authorship.md + knowledge/frameworks/aeo-ai-search/aeo-ai-search-playbook-2026.md
LinkedIn article rulesknowledge/channels/linkedin-articles.md
Format contractsharness/skill-contracts/blog-post.yaml · harness/skill-contracts/linkedin-article.yaml
Goals, ICP, voice, existing channelsMARKETING.md (project root)

Output goes to workspace/content-calendar/:

workspace/content-calendar/
├── _content-map.md              # pillars, clusters, and the full calendar table
├── _idea-eval.md                # scored ideas, decisions, kill list
├── briefs/                      # w1-slug-1.json, ...
├── drafts/                      # w1-slug-1.md, ...  (batch production only)
├── _quality-report.md
└── _distribution.md

_content-map.md carries the calendar table: week, date, title, format, pillar, keyword, persona, priority.

_quality-report.md carries totals (planned, produced, passed all gates, average Four U's), a per-piece results row for each piece (title, format, persona, Four U's, banned words, SEO lint, status), the internal linking map showing the pillar/cluster structure, and SEO coverage — keywords targeted, volumes where a source exists, and content gaps.

_distribution.md covers which pieces cross-post to LinkedIn, the email newsletter inclusion schedule, the per-piece social promotion plan, and internal linking instructions for the blog.

Escalate when

  • Fewer ideas survive the eval than the requested cadence needs — surface the shortfall rather than promoting killed ideas.
  • The keyword targets require research nobody has done and no research tool is available.
  • The requested cadence exceeds what the team can produce or the proof inventory can support.
  • The user wants a topic whose only support would be an invented statistic.
  • A piece fails its gates twice for the same reason during batch production.
  • The calendar's goals in MARKETING.md conflict with the topics being requested.

Frequently asked questions

What does the Kai Content Calendar AI skill do?

Plan and produce a content calendar — a month (or quarter) of blog posts, LinkedIn articles, and SEO content mapped to business goals, personas, and keywords. Generates briefs for each piece, optionally batch-produces all content with quality gates. Use when "content calendar", "plan blog content", "monthly content", "quarterly content plan", "what should we publish", "content strategy", "editorial calendar", or any request to plan multiple pieces of content over time.

Why use Kai Content Calendar on TypingMind?

Because you install it once and use it with any model. Kai Content Calendar 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 Content Calendar 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-content-calendar. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Kai Content Calendar?

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 Content Calendar?

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

Is the Kai Content Calendar 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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