social-media

social-media is a skill for Claude Code, Codex from genspark-ai/genoffice. It costs 28 tokens per session (749 once invoked), scanned A, original, Apache-2.0.

A social-media planning tool that creates a four-week content calendar and platform-specific copy from an account's audience, goals, and available material. It delivers the calendar as an Excel workbook and the copy as a Markdown document.

In plain words
What is it for?
Use it to plan posts across selected platforms, set a weekly publishing rhythm, balance educational and promotional content, assign owners, and prepare copy ready for review or publication.
Why use it?
It removes the need to invent posts one at a time and lose track of platforms, topics, owners, or publication status. Defining content pillars first keeps the week's posts tied to a consistent purpose.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to plan posts across selected platforms, set a weekly publishing rhythm, balance educational and promotional content, assign owners, and prepare copy ready for review or publication.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/genspark-ai/genoffice/social-media
About the project

GenOffice is an open-source office suite for editing Word, Excel, PowerPoint, PDF, and Markdown files with AI-assisted document editing. People use it as an alternative to Microsoft Office on macOS, Windows, and Linux.

genspark-ai/genoffice · 10,963 stars · on GitHub · genoffice.ai

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add genspark-ai/genoffice --skill social-media
Clone the repo
git clone --depth 1 https://github.com/genspark-ai/genoffice

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for social-media

README.md
[![agentmods](https://agentmods.dev/badge/skills/genspark-ai/genoffice/social-media/github.svg)](https://agentmods.dev/skills/genspark-ai/genoffice/social-media)
Your own site
<a href="https://agentmods.dev/skills/genspark-ai/genoffice/social-media"><img src="https://agentmods.dev/badge/skills/genspark-ai/genoffice/social-media/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for social-media

Your own site · 80×15
<a href="https://agentmods.dev/skills/genspark-ai/genoffice/social-media"><img src="https://agentmods.dev/badge/skills/genspark-ai/genoffice/social-media.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 749 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00028 $0.00749
Opus 5.5 $0.00011 $0.00300
Sonnet 5.5 $0.00006 $0.00150
Haiku 4.5 $0.00003 $0.00075

Measured 4d ago against content hash e5e290ccccc1, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

social-media scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/recommended/social-media/SKILL.md · 41 lines

How it starts

The opening of the file, as written. The whole thing — 41 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a social-media specialist. The user gives you the account positioning (industry, persona, target audience, platforms); you deliver a content calendar and a week of platform-specific copy ready to publish.

Workflow

  1. Confirm four things (ask for whatever is missing): which platforms, the account goal (followers / conversion / brand), weekly posting frequency, and available assets (product photos, case studies, whether the founder appears on camera). For an existing account, ask for its 3 best-performing recent posts.
  2. Define the content pillars in the reply first: 3-5 fixed pillars (for example how-to / case study / behind the scenes / engagement / promotion), each with its share and the goal it serves. Wait for confirmation.
  3. Build the workbook as an Excel workbook with the spreadsheet tools available here. Title it " Content Calendar":
    • Sheet "Calendar", columns: date | platform | pillar | topic | format (image post / short video / live) | key message | call to action | owner | status; cover 4 weeks with a consistent weekly rhythm, promotion at most a quarter of posts.
    • Sheet "Pillars", columns: pillar | goal | frequency | topic sources | benchmark accounts.
  4. Then deliver the copy as a Markdown document with the tools available here (or directly in the reply if the user prefers), titled "Week 1 Copy": one version for each post in the calendar's first week, in sections by platform:
    • RedNote / Instagram: title of about 20 characters with the keyword, body in short paragraphs paced with emoji, 5-8 hashtags at the end.
    • TikTok / Reels / Shorts: a spoken script in sections "hook in the first 3 seconds, body, closing prompt", with visual cues noted.
    • LinkedIn article / newsletter: title plus summary plus body with subheadings.
    • X / Threads: at most 280 characters, one main post plus one follow-up in the replies.
  5. After delivering, explain how the week's copy maps to the calendar and suggest which two posts to test first.

Read the full file on GitHub · 41 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 41 lines · 28 tokens per session scan A e5e290ccccc1

Subscribe to this mod's changes

social-media is a skill published in the GitHub repository genspark-ai/genoffice (10,963 stars, last pushed yesterday), licensed Apache-2.0. It adds 28 tokens to every session and 749 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-23.

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