How do I install the Auto Twitter Campaign skill?

Run npx skillmds@latest add forde450/auto-twitter-campaign in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Auto Twitter Campaign safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: executes scripts. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Auto Twitter Campaign?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Auto Twitter Campaign free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Auto Twitter Campaign?

forde450 (@forde450) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Auto Twitter Campaign by forde450 — Agent Skill

Name: Auto Twitter Campaign
Rating: 4.5 (4 reviews)
Author: forde450

Auto Twitter Campaign

Autonomous AI image campaign content generator. Processes pending photos via Ming-flash-omni-2.0 (cleanup + style editing), creates side-by-side comparison images and GIF showcases, then auto-generates tweet text using AI. Use for requests like "run campaign", "process pending images", "generate tweet content", or "create showcase from results".

forde450 Updated Sep 22, 2026

File contents

Auto Twitter Campaign — Content Generator

Autonomous closed-loop image editing and tweet content generation pipeline. No auto-posting — outputs ready-to-use tweet text + media files.

Quick Start

# Full pipeline: process pending images → comparisons → GIFs → tweet text
python3 {baseDir}/scripts/campaign.py run

# Process pending images only (cleanup + style editing → comparison images)
python3 {baseDir}/scripts/campaign.py process

# Generate showcase GIFs + tweet text from existing comparison images in results/
python3 {baseDir}/scripts/campaign.py showcase

# Process a specific image
python3 {baseDir}/scripts/campaign.py process --image /path/to/photo.jpg

# Provide a scene description for better tweet text (otherwise AI auto-describes)
python3 {baseDir}/scripts/campaign.py showcase --description "大年初一华山，下棋亭、西峰和南峰"

Requirements

ZENMUX_API_KEY environment variable set
google-genai and Pillow Python packages

Directories

Pending images: ~/campaign_images/pending/
Candidates (intermediate edits): ~/campaign_images/candidates/
Results (comparisons, GIFs, tweet text): ~/campaign_images/results/

Pipeline

Cleanup Director — Vision scans for distractions (tourists, vehicles, clutter), generates cleanup instruction
Cleanup Creator — Generates multiple cleanup candidates, critic picks the best
Style Director — Generates 3 style instructions (atmosphere, dramatic, artistic)
Style Creator — Applies each style to the cleaned image, saves comparison images
Showcase — Creates per-scene and all-in-one GIF showcases from comparison images
Tweet Writer — AI analyzes comparison images + description, generates concise tweet text

Output

After running, ~/campaign_images/results/ will contain:

compare_*.jpg — Side-by-side comparison images (original | edited)
compare_*.gif — Per-scene animated GIFs cycling through style variants
showcase_all.gif — Combined showcase GIF of all comparisons
tweet.txt — AI-generated tweet text ready to copy-paste
description.txt — Scene description (user-provided or auto-generated)

---name: auto-twitter-campaigndescription: Autonomous AI image campaign content generator. Processes pending photos via Ming-flash-omni-2.0 (cleanup + style editing), creates side-by-side comparison images and GIF showcases, then auto-generates tweet text using AI. Use for requests like "run campaign", "process pending images", "generate tweet content", or "create showcase from results".---# Auto Twitter Campaign — Content GeneratorAutonomous closed-loop image editing and tweet content generation pipeline.No auto-posting — outputs ready-to-use tweet text + media files.## Quick Start```bash# Full pipeline: process pending images → comparisons → GIFs → tweet textpython3 {baseDir}/scripts/campaign.py run# Process pending images only (cleanup + style editing → comparison images)python3 {baseDir}/scripts/campaign.py process# Generate showcase GIFs + tweet text from existing comparison images in results/python3 {baseDir}/scripts/campaign.py showcase# Process a specific imagepython3 {baseDir}/scripts/campaign.py process --image /path/to/photo.jpg# Provide a scene description for better tweet text (otherwise AI auto-describes)python3 {baseDir}/scripts/campaign.py showcase --description "大年初一华山，下棋亭、西峰和南峰"```## Requirements- `ZENMUX_API_KEY` environment variable set- `google-genai` and `Pillow` Python packages## Directories- Pending images: `~/campaign_images/pending/`- Candidates (intermediate edits): `~/campaign_images/candidates/`- Results (comparisons, GIFs, tweet text): `~/campaign_images/results/`## Pipeline1. **Cleanup Director** — Vision scans for distractions (tourists, vehicles, clutter), generates cleanup instruction2. **Cleanup Creator** — Generates multiple cleanup candidates, critic picks the best3. **Style Director** — Generates 3 style instructions (atmosphere, dramatic, artistic)4. **Style Creator** — Applies each style to the cleaned image, saves comparison images5. **Showcase** — Creates per-scene and all-in-one GIF showcases from comparison images6. **Tweet Writer** — AI analyzes comparison images + description, generates concise tweet text## OutputAfter running, `~/campaign_images/results/` will contain:- `compare_*.jpg` — Side-by-side comparison images (original | edited)- `compare_*.gif` — Per-scene animated GIFs cycling through style variants- `showcase_all.gif` — Combined showcase GIF of all comparisons- `tweet.txt` — AI-generated tweet text ready to copy-paste- `description.txt` — Scene description (user-provided or auto-generated)

Frequently asked questions