twitter-automation

inference-sh/skills · updated Apr 8, 2026

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$npx skills add https://github.com/inference-sh/skills --skill twitter-automation
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summary

Post, like, retweet, and manage Twitter/X accounts via CLI commands.

  • Nine app commands covering tweet posting with media, liking, retweeting, DM sending, user following, and profile retrieval
  • Supports media attachment through URLs, enabling workflows that combine image or video generation with social posting
  • Requires inference.sh CLI authentication; integrates with other inference.sh skills for end-to-end content creation and distribution pipelines
skill.md

Twitter/X Automation

Automate Twitter/X via inference.sh CLI.

Twitter/X Automation

Quick Start

Requires inference.sh CLI (infsh). Install instructions

infsh login

# Post a tweet
infsh app run x/post-tweet --input '{"text": "Hello from inference.sh!"}'

Available Apps

App App ID Description
Post Tweet x/post-tweet Post text tweets
Create Post x/post-create Post with media
Like Post x/post-like Like a tweet
Retweet x/post-retweet Retweet a post
Delete Post x/post-delete Delete a tweet
Get Post x/post-get Get tweet by ID
Send DM x/dm-send Send direct message
Follow User x/user-follow Follow a user
Get User x/user-get Get user profile

Examples

Post a Tweet

infsh app run x/post-tweet --input '{"text": "Just shipped a new feature! 🚀"}'

Post with Media

infsh app sample x/post-create --save input.json

# Edit input.json:
# {
#   "text": "Check out this AI-generated image!",
#   "media_url": "https://your-image-url.jpg"
# }

infsh app run x/post-create --input input.json

Like a Tweet

infsh app run x/post-like --input '{"tweet_id": "1234567890"}'

Retweet

infsh app run x/post-retweet --input '{"tweet_id": "1234567890"}'

Send a DM

infsh app run x/dm-send --input '{
  "recipient_id": "user_id_here",
  "text": "Hey! Thanks for the follow."
}'

Follow a User

infsh app run x/user-follow --input '{"username": "elonmusk"}'

Get User Profile

infsh app run x/user-get --input '{"username": "OpenAI"}'

Get Tweet Details

infsh app run x/post-get --input '{"tweet_id": "1234567890"}'

Delete a Tweet

infsh app run x/post-delete --input '{"tweet_id": "1234567890"}'

Workflow: Generate AI Image and Post

# 1. Generate image
infsh app run falai/flux-dev-lora --input '{"prompt": "sunset over mountains"}' > image.json

# 2. Post to Twitter with the image URL
infsh app run x/post-create --input '{
  "text": "AI-generated art of a sunset 🌅",
  "media_url": "<image-url-from-step-1>"
}'

Workflow: Generate and Post Video

# 1. Generate video
infsh app run google/veo-3-1-fast --input '{"prompt": "waves on a beach"}' > video.json

# 2. Post to Twitter
infsh app run x/post-create --input '{
  "text": "AI-generated video 🎬",
  "media_url": "<video-url-from-step-1>"
}'

Related Skills

# Full platform skill (all 150+ apps)
npx skills add inference-sh/skills@infsh-cli

# Image generation (create images to post)
npx skills add inference-sh/skills@ai-image-generation

# Video generation (create videos to post)
npx skills add inference-sh/skills@ai-video-generation

# AI avatars (create presenter videos)
npx skills add inference-sh/skills@ai-avatar-video

Browse all apps: infsh app list

Documentation

how to use twitter-automation

How to use twitter-automation on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add twitter-automation
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/inference-sh/skills --skill twitter-automation

The skills CLI fetches twitter-automation from GitHub repository inference-sh/skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/twitter-automation

Reload or restart Cursor to activate twitter-automation. Access the skill through slash commands (e.g., /twitter-automation) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.830 reviews
  • Noor Rahman· Dec 28, 2024

    Solid pick for teams standardizing on skills: twitter-automation is focused, and the summary matches what you get after install.

  • Ganesh Mohane· Dec 8, 2024

    twitter-automation reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Naina Ghosh· Dec 8, 2024

    Registry listing for twitter-automation matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Sakshi Patil· Nov 27, 2024

    I recommend twitter-automation for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Meera Smith· Nov 27, 2024

    Useful defaults in twitter-automation — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Layla Rao· Nov 19, 2024

    We added twitter-automation from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Chaitanya Patil· Oct 18, 2024

    Useful defaults in twitter-automation — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Zara Khan· Oct 18, 2024

    I recommend twitter-automation for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Hassan Gonzalez· Oct 10, 2024

    twitter-automation fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Zaid Reddy· Sep 25, 2024

    twitter-automation is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

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