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Content Calendar

Community
davekilleen
content-calendar

Use when inventorying content commitments, ideas, and schedule coverage for a specified period and timezone.

Overview

Publisherdavekilleen
RepositoryDex
Skill namecontent-calendar
Stars
481
Forks
130
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 davekilleen on GitHub. Read the source before you install it.

Installation

Install the 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.
  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/davekilleen/Dex.git /tmp/Dex
mkdir -p .claude/skills
cp -r /tmp/Dex/packages/dex-agent-plugin/skills/_available/marketing/content-calendar .claude/skills/content-calendar
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable 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 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 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.

Content calendar

When to use

Use this skill when the requester supplies, or the source canonically defines, a review period and timezone for content inventory. It distinguishes what is committed from what is merely an idea, and reports scheduled, undated, duplicate, and colliding items.

Do not use it to invent a publishing schedule, fill missing dates, assign owners, publish content, or change status. Not for creating calendar events or claiming complete coverage from an unbounded or partial source set.

Inputs and source discipline

  • Require an explicit period start and end, timezone, and as-of date/time. If any is missing, ask for it or report the boundary as unknown; never infer a date from the request or use the current date.
  • Identify the status source and its authority, plus content artifacts, campaign/goal sources, and any calendar export. Record each source, source date, retrieval/as-of date, title or stable ID, status, scheduled date/time, and original timezone.
  • Preserve source wording and timestamps. Convert dates for comparison only when the source timezone is known, and show the conversion rule.
  • Record excluded, inaccessible, and undated items so the report does not imply that the scan covered content it could not inspect.

Method

  1. Establish the period, timezone, as-of boundary, source scope, and status source before reading items.
  2. Inventory each item read-only. Record its status only when the source states it. Mark an explicit commitment separately from an idea, draft, or suggestion; do not infer commitment from a filename, tone, or presence in a folder.
  3. Normalize known scheduled timestamps into the declared timezone while retaining the original value. Put items without a supported date in an undated section rather than placing them in a week or month.
  4. Detect exact duplicates using stable IDs or matching source records. Flag possible duplicates when identity is uncertain. Detect a date collision only when two distinct items have supported overlapping dates/times; do not resolve the collision yourself.
  5. Calculate coverage only from dated items inside the declared period and a declared denominator. Report excluded, undated, inaccessible, and duplicate items separately; do not invent dates, percentages, or coverage.
  6. Compare content to stated campaign or strategic sources, marking alignment as observed or inferred. Offer gap and topic recommendations without converting them into calendar commitments.
  7. Show a complete draft before any requested save, status change, reschedule, or calendar action, and wait for human confirmation.

Truth and uncertainty rules

  • Observed: status, commitment, idea, date, time, or alignment directly stated in a dated source.
  • Inferred: a proposed grouping, likely theme, or possible alignment derived from observed fields; state the reasoning and confidence.
  • Unknown: missing status, date, timezone, source authority, or inaccessible content.
  • Stale: a status or schedule whose source date is outside the requested as-of boundary or is superseded by a newer status source.
  • Contradictory: sources disagree about status, commitment, date, or ownership; show each source and date rather than selecting one silently.

Never invent dates, metrics, percentages, owners, intent, money, causes, status, or evidence. A recommendation is not a commitment and is not a human decision.

Output contract

Return a calendar review containing:

  • period, timezone, as-of date/time, status source, source coverage, and exclusions;
  • separate tables for committed items, ideas, in-progress/published items only when sourced, and undated items;
  • original and normalized date/time, source/date trace, duplicate flags, and collision flags;
  • a declared coverage denominator and reconciliation notes, or an explicit unknown when it cannot be supported;
  • stale statuses, contradictions, unknowns, confidence, and recommendations clearly separated from commitments.

Safety and write boundaries

Default to read-only. Do not create events, publish content, move dates, change status, assign owners, edit campaign records, or rewrite source files. Any requested write or external action requires an exact preview, explicit confirm, and human authority. Apply only the approved change; recommendations do not authorize scheduling decisions.

Verification and recovery

Read back the source records and reconcile item IDs, dates, timezone conversions, statuses, duplicate flags, collision flags, and coverage counts before delivering. After an authorized write, read back the destination and reconcile it with the confirmed preview. If a status source changes, a date is ambiguous, or a read fails, mark the item stale or unknown and do not continue as though it were current. If a write fails or partially succeeds, stop, preserve the preview and error details, report the exact partial state, and obtain human authority before retrying or recovering.

Frequently asked questions

What does the Content Calendar AI skill do?

Use when inventorying content commitments, ideas, and schedule coverage for a specified period and timezone.

Why use Content Calendar on TypingMind?

Because you install it once and use it with any model. 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 Content Calendar in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/davekilleen/Dex/tree/main/packages/dex-agent-plugin/skills/_available/marketing/content-calendar. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use 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 Content Calendar?

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

Is the Content Calendar AI skill free?

It is published on GitHub by davekilleen. 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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