What is social-content-engine?

A workflow for creating, rewriting, researching, adapting, replying to, and reviewing social-media content in multiple languages. It supports common platforms such as LinkedIn, Instagram, Reddit, TikTok, and YouTube, plus a generic fallback.

Use it to draft posts, threads, captions, replies, scripts, and repurposed versions of existing content for different social platforms and languages.

It turns limited instructions into a specific draft while keeping the platform, language, tone, and amount of research appropriate to the request. It also avoids inventing personal experiences or forcing hashtags and calls to action.

social-content-engine — Skill for Codex by xiaomaolu/bluue-ai-skills

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 xiaomaolu/bluue-ai-skills --skill social-content-engine

Clone the repo

git clone --depth 1 https://github.com/xiaomaolu/bluue-ai-skills

Made for: 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/xiaomaolu/bluue-ai-skills/social-content-engine/github.svg)](https://agentmods.dev/skills/xiaomaolu/bluue-ai-skills/social-content-engine)

Your own site

<a href="https://agentmods.dev/skills/xiaomaolu/bluue-ai-skills/social-content-engine"><img src="https://agentmods.dev/badge/skills/xiaomaolu/bluue-ai-skills/social-content-engine/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/xiaomaolu/bluue-ai-skills/social-content-engine"><img src="https://agentmods.dev/badge/skills/xiaomaolu/bluue-ai-skills/social-content-engine.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 129 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,935 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.

Model	Per session	Once invoked
Fable 5.1	$0.00129	$0.01935
Opus 5.5	$0.00052	$0.00774
Sonnet 5.5	$0.00026	$0.00387
Haiku 4.5	$0.00013	$0.00194

Measured 2mo ago against content hash b0b02538fb6f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

social-content-engine 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 2mo 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.

social-content-engine/SKILL.md · 251 lines

How it starts

The opening of the file, as written. The whole thing — 251 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Turn a social-content request into a publishable result through a compact internal pipeline. Treat this directory as one installable skill bundle with modular internal capabilities. The user should not need to know or invoke the modules separately.

The central rule is:

The less context the user supplies, the more useful internal work the skill should perform before writing. A short prompt is never a reason to produce generic filler.

Defaults

Unless the user overrides them:

Task: infer from the request
Output count: one strongest result
Output language: resolve with references/multilingual.md
Platform: infer only when explicit or strongly implied; otherwise use the generic adapter
Research: only when freshness, factual precision, or requested evidence requires it
Angle: select one specific angle internally; do not dump many near-duplicates
Tone: natural, specific, restrained, platform-native
Personal experience: never invent
Hashtags: omit unless useful for the destination platform or requested
CTA: optional; never force one
Review cycles: maximum 2
Research retry: maximum 1
Angle retry: maximum 1
Writer retry: maximum 2

Supported tasks

Normalize the primary task to one of:

create
rewrite
optimize
reply
commentary
repurpose
summarize
educate
promote
brainstorm
thread
script

Secondary intents may coexist, such as create + promote or repurpose + translate.

Supported platforms

Read references/platforms.md when a platform-specific result is requested.

Built-in profiles include:

X / Twitter
LinkedIn
Instagram
Threads
Reddit
Facebook
TikTok / Douyin / Reels
YouTube Shorts / long-form
Xiaohongshu / RED
Weibo
Telegram / Discord
Generic / unknown social platform

If the requested platform is missing, use the generic profile and infer only observable format requirements. Do not pretend to know undocumented platform conventions.

Read the full file on GitHub · 251 lines

Files

What ships with it

19 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

2mo ago First seen · 251 lines · 129 tokens per session scan A b0b02538fb6f

Subscribe to this mod's changes

social-content-engine is a skill published in the GitHub repository xiaomaolu/bluue-ai-skills (6 stars, last pushed 2d ago), licensed MIT. It adds 129 tokens to every session and 1,935 once invoked, about $0.0005 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 2026-08-31.

Marketing and SEO Writing and docs

social-content-engine next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
social-content-enginexiaomaolu/bluue-ai-skills	Skill	6	2d ago	MIT	A	129	Codex
imagegenopenai/codex	Skill	134k	today	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	today	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	today	MIT	A	200	Claude Code, Codex
systematic-debuggingobra/superpowers	Skill	314k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	103	Claude Code