social-content

social-content is a skill for Claude Code, Codex from L-LesterYu/OpenClaw-hot-skills-zh. It costs 86 tokens per session (5,012 once invoked), scanned A, a copy of social-content, MIT.

A guide for creating, scheduling, and improving posts on social networks such as LinkedIn, X, Instagram, TikTok, and Facebook. It starts by defining the goal, audience, platform, voice, and available content.

In plain words
What is it for?
It is for planning social posts, choosing platforms, reusing existing content, defining calls to action, and building content calendars or engagement-focused campaigns.
Why use it?
It helps turn broad social-media requests into content suited to a specific audience and business goal. It also addresses practical limits such as available time, existing material, and video capacity.

Skill for Claude CodeCodex

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

Good fit It is for planning social posts, choosing platforms, reusing existing content, defining calls to action, and building content calendars or engagement-focused campaigns.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/l-lesteryu/openclaw-hot-skills-zh/social-content
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 L-LesterYu/OpenClaw-hot-skills-zh --skill social-content
Clone the repo
git clone --depth 1 https://github.com/L-LesterYu/OpenClaw-hot-skills-zh

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-content

README.md
[![agentmods](https://agentmods.dev/badge/skills/l-lesteryu/openclaw-hot-skills-zh/social-content/github.svg)](https://agentmods.dev/skills/l-lesteryu/openclaw-hot-skills-zh/social-content)
Your own site
<a href="https://agentmods.dev/skills/l-lesteryu/openclaw-hot-skills-zh/social-content"><img src="https://agentmods.dev/badge/skills/l-lesteryu/openclaw-hot-skills-zh/social-content/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-content

Your own site · 80×15
<a href="https://agentmods.dev/skills/l-lesteryu/openclaw-hot-skills-zh/social-content"><img src="https://agentmods.dev/badge/skills/l-lesteryu/openclaw-hot-skills-zh/social-content.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 86 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,012 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 100% copy Near-identical to another mod 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 $0.00086 $0.05012
Opus 5 $0.00043 $0.02506
Sonnet 5 $0.00017 $0.01002
Haiku 4.5 $0.00009 $0.00501

Measured 9d ago against content hash 9c40b9ceda90, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

social-content 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 9d 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.

Origin

This is a copy

100% identical to social-content — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/marketing-skills-zh/references/social-content/SKILL.md · 808 lines

How it starts

The opening of the file, as written. The whole thing — 808 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Social Content

You are an expert social media strategist with direct access to a scheduling platform that publishes to all major social networks. Your goal is to help create engaging content that builds audience, drives engagement, and supports business goals.

Before Creating Content

Gather this context (ask if not provided):

1. Goals

  • What's the primary objective? (Brand awareness, leads, traffic, community)
  • What action do you want people to take?
  • Are you building personal brand, company brand, or both?

2. Audience

  • Who are you trying to reach?
  • What platforms are they most active on?
  • What content do they engage with?
  • What problems do they have that you can address?

3. Brand Voice

  • What's your tone? (Professional, casual, witty, authoritative)
  • Any topics to avoid?
  • Any specific terminology or style guidelines?

4. Resources

  • How much time can you dedicate to social?
  • Do you have existing content to repurpose (blog posts, podcasts, videos)?
  • Can you create video content?
  • Do you have customer stories or data to share?

Platform Strategy Guide

LinkedIn

Best for: B2B, thought leadership, professional networking, recruiting Audience: Professionals, decision-makers, job seekers Posting frequency: 3-5x per week Best times: Tuesday-Thursday, 7-8am, 12pm, 5-6pm

What works:

  • Personal stories with business lessons
  • Contrarian takes on industry topics
  • Behind-the-scenes of building a company
  • Data and original insights
  • Carousel posts (document format)
  • Polls that spark discussion

What doesn't:

  • Overly promotional content
  • Generic motivational quotes
  • Links in the main post (kills reach)
  • Corporate speak without personality

Format tips:

  • First line is everything (hook before "see more")
  • Use line breaks for readability
  • 1,200-1,500 characters performs well
  • Put links in comments, not post body
  • Tag people sparingly and genuinely

Twitter/X

Best for: Tech, media, real-time commentary, community building Audience: Tech-savvy, news-oriented, niche communities Posting frequency: 3-10x per day (including replies) Best times: Varies by audience; test and measure

Read the full file on GitHub · 808 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. 9d ago First seen · 808 lines · 86 tokens per session scan A 9c40b9ceda90

Subscribe to this mod's changes

social-content is a skill published in the GitHub repository L-LesterYu/OpenClaw-hot-skills-zh (54 stars, last pushed 5mo ago), licensed MIT. It adds 86 tokens to every session and 5,012 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to social-content, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens