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Run Organic Social Plan Calendar logo

Run Organic Social Plan Calendar

OrganizationPopular
gooseworks-ai
run-organic-social-plan-calendar

Step of the run-organic-social playbook: turns the audit, research and dated moments into a two-week grid of empty post slots. Run run-organic-social instead; not for direct use.

Overview

Publishergooseworks-ai
Repositorygoose-skills
Skill namerun-organic-social-plan-calendar
Stars
1.3K
Forks
219
Bundled files
1
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • 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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by gooseworks-ai on GitHub. Read the source before you install it.

Installation

Install the Run Organic Social Plan 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/gooseworks-ai/goose-skills/tree/main/skills/marketing/run-organic-social-plan-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/gooseworks-ai/goose-skills.git /tmp/goose-skills
mkdir -p .claude/skills
cp -r /tmp/goose-skills/skills/marketing/run-organic-social-plan-calendar .claude/skills/run-organic-social-plan-calendar
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Run Organic Social Plan 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 Run Organic Social Plan 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 Run Organic Social Plan 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.

Plan the calendar

Inputs: the account audit, the voice cards, ../run-organic-social/references/calendar-craft.md, and these sibling artifacts (read each one that exists; never fake one that doesn't):

  • make-content's repurposed sets: gooseworks:file_list content/repurposed/ and content/drafts/ (unslotted social cuts are the raw material).
  • This run's platform research (social/research/<date>-<platform>.md): the patterns and examples every slot is modelled on, and the posting-time and format facts.
  • research-market's latest report (the newest research/market/<D>-read.md): its "What people are saying" section — trends worth posting on, each with a post-by date, and the themes in people's words — and buyer language. Check the section's own date and window line first: research-market runs on ask or monthly, and a narrow run may cover only part of the market. A trend past its post-by date is stale; with no post-by date, a section older than 7 days is stale: use evergreen fallbacks. No such section → no trends from it.
  • plan-campaign: gooseworks:campaign_read (list mode, then one campaign) for any campaign with an organic leg in the window.
  • analyze-performance's organic "what overperformed" read: the latest reports/performance/<date>.md.
  • The brain:
    • When brand_knowledge_* tools are listed: reuse step 1's reads of chapters 19 "this week and what is coming", 20 "our plan" and 23 "what is working" (focus, live promotions, launches, what not to promote, past results); don't open them again. gooseworks:brand_knowledge_search for the seasonal calendar and for customer questions and phrases.
    • Otherwise: gooseworks:knowledge_search for "this week's focus, live promotions, launches, what not to promote, seasonal calendar", and source_types: ["evidence"] for voice-of-customer questions and phrases.
  • The previous calendar: social/calendar/ (what went out, what's still queued).
  • The last run record (the run-memory skill (../run-memory/SKILL.md) Start, loaded by SKILL.md): format tests still open, the per-format scorecard, and recommendations still open.

Procedure

  1. Window. The next 14 days from the human's chosen start (default: next Monday). State the time zone.
  2. Capacity. Slots per week per account, from calendar-craft.md's cadence rules. If the human's ask exceeds it, show the numbers and the recommendation, and let them choose.
  3. Fixed slots first:
    • campaign and launch posts (dated)
    • seasonal and cultural moments for the brand's region. Look each date up with your web tool when you have one; otherwise list the moments and ask the human to confirm dates. Never assume a date from memory.
    • silent days
    • known trends with expiries
  4. Format-test slots: place the 1–2 tests (../run-organic-social/references/calendar-craft.md, Format tests): the missing posts of open tests carried from the last run record first, under their first ids, then new ones. Aim for 4 slots on each side (a test may span two calendars); write each in the calendar header with its record id.
  5. Series slots next: each account's 1–2 named series on their days.
  6. Fill the mix: the remaining slots by the account's bucket ratios, reweighted by the last run's per-format scorecard (more of what beat its baseline, less of what fell below), pulling make-content's cuts first (they're finished thinking), then voice-of-customer questions, then pillar ideas.
  7. Flex slots: 1–2 per week, marked "trend: swap within 48h if one lands". Each also gets an evergreen fallback draft, so the slot is never empty.
  8. Times: the account's own best slots, or labelled starting guesses inside the human's free windows. Vary them.
  9. Balance check:
    • no bucket over its share
    • product mentions within the cap (the managed account's plug-ratio cap when there is one)
    • no two consecutive posts on one account from the same bucket or sub-format (on TikTok every post is video, so vary talking head, POV, tutorial, photo-mode)
    • every video slot has a named shooter

Output

A grid (one row per slot) that the drafting step fills: id · date · time tz · platform · account · format · pillar · bucket · series · test (T1/T2 side, or —) · source · person? · trend expiry

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 Run Organic Social Plan Calendar AI skill do?

Step of the run-organic-social playbook: turns the audit, research and dated moments into a two-week grid of empty post slots. Run run-organic-social instead; not for direct use.

Why use Run Organic Social Plan Calendar on TypingMind?

Because you install it once and use it with any model. Run Organic Social Plan 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 Run Organic Social Plan Calendar in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/gooseworks-ai/goose-skills/tree/main/skills/marketing/run-organic-social-plan-calendar. 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 Run Organic Social Plan 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 Run Organic Social Plan Calendar?

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

Is the Run Organic Social Plan Calendar AI skill free?

Yes. It is published on GitHub by gooseworks-ai 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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