infsh-cli

Access 150+ cloud-based AI apps via CLI without GPU setup or infrastructure.

inferen-sh/skillsUpdated May 23, 2026

Works with

Claude CodeCursorClineWindsurfCodexGooseGitHub CopilotZed

3

total installs

3

this week

304

GitHub stars

0

upvotes

Install Skill

Run in your terminal

$npx skills add https://github.com/inferen-sh/skills --skill infsh-cli

3

installs

3

this week

304

stars

What it does

  • Covers image generation (FLUX, Gemini, Grok), video creation (Veo, Seedance, OmniHuman), LLMs (Claude, Gemini via OpenRouter), web search (Tavily, Exa), 3D modeling, and Twitter/X automation

  • Automatically uploads local files when provided as paths; supports batch operations and async execution with task status polling

  • Simple command structure: infsh app list , infsh app run <app> --input data.json , wit

Category

Productivity

Last updated

May 23, 2026

Installation Guide

How to use infsh-cli 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 machine
  • Node.js 16+ with npm — verify with node --version
  • Active project directory where you want to add infsh-cli
2

Run the install command

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

$npx skills add https://github.com/inferen-sh/skills --skill infsh-cli

Fetches infsh-cli from inferen-sh/skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI shows a list of agents. Use arrow keys and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ────────────────
│ · Cline · Codex · Goose · Windsurf
│ ●Cursor(selected)
│ · Cursor · Aider · Continue
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/infsh-cli

Restart Cursor to activate infsh-cli. Access via /infsh-cli in your agent's command palette.

Security 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 environment. Always review source, verify the publisher, and test in isolation before production.

Documentation

inference.sh

Run 150+ AI apps in the cloud with a simple CLI. No GPU required.

inference.sh

Install CLI

curl -fsSL https://cli.inference.sh | sh
infsh login

What does the installer do? The install script detects your OS and architecture, downloads the correct binary from dist.inference.sh, verifies its SHA-256 checksum, and places it in your PATH. That's it — no elevated permissions, no background processes, no telemetry. If you have cosign installed, the installer also verifies the Sigstore signature automatically.

Manual install (if you prefer not to pipe to sh):

# Download the binary and checksums
curl -LO https://dist.inference.sh/cli/checksums.txt
curl -LO $(curl -fsSL https://dist.inference.sh/cli/manifest.json | grep -o '"url":"[^"]*"' | grep $(uname -s | tr A-Z a-z)-$(uname -m | sed 's/x86_64/amd64/;s/aarch64/arm64/') | head -1 | cut -d'"' -f4)
# Verify checksum
sha256sum -c checksums.txt --ignore-missing
# Extract and install
tar -xzf inferencesh-cli-*.tar.gz
mv inferencesh-cli-* ~/.local/bin/inferencesh

Quick Examples

# Generate an image
infsh app run falai/flux-dev-lora --input '{"prompt": "a cat astronaut"}'

# Generate a video
infsh app run google/veo-3-1-fast --input '{"prompt": "drone over mountains"}'

# Call Claude
infsh app run openrouter/claude-sonnet-45 --input '{"prompt": "Explain quantum computing"}'

# Web search
infsh app run tavily/search-assistant --input '{"query": "latest AI news"}'

# Post to Twitter
infsh app run x/post-tweet --input '{"text": "Hello from AI!"}'

# Generate 3D model
infsh app run infsh/rodin-3d-generator --input '{"prompt": "a wooden chair"}'

Local File Uploads

The CLI automatically uploads local files when you provide a path instead of a URL:

# Upscale a local image
infsh app run falai/topaz-image-upscaler --input '{"image": "/path/to/photo.jpg", "upscale_factor": 2}'

# Image-to-video from local file
infsh app run falai/wan-2-5-i2v --input '{"image": "./my-image.png", "prompt": "make it move"}'

# Avatar with local audio and image
infsh app run bytedance/omnihuman-1-5 --input '{"audio": "/path/to/speech.mp3", "image": "/path/to/face.jpg"}'

# Post tweet with local media
infsh app run x/post-create --input '{"text": "Check this out!", "media": "./screenshot.png"}'

Commands

Task Command
List all apps infsh app list
Search apps infsh app list --search "flux"
Filter by category infsh app list --category image
Get app details infsh app get google/veo-3-1-fast
Generate sample input infsh app sample google/veo-3-1-fast --save input.json
Run app infsh app run google/veo-3-1-fast --input input.json
Run without waiting infsh app run <app> --input input.json --no-wait
Check task status infsh task get <task-id>

What's Available

Category Examples
Image FLUX, Gemini 3 Pro, Grok Imagine, Seedream 4.5, Reve, Topaz Upscaler
Video Veo 3.1, Seedance 1.5, Wan 2.5, OmniHuman, Fabric, HunyuanVideo Foley
LLMs Claude Opus/Sonnet/Haiku, Gemini 3 Pro, Kimi K2, GLM-4, any OpenRouter model
Search Tavily Search, Tavily Extract, Exa Search, Exa Answer, Exa Extract
3D Rodin 3D Generator
Twitter/X post-tweet, post-create, dm-send, user-follow, post-like, post-retweet
Utilities Media merger, caption videos, image stitching, audio extraction

Related Skills

# Image generation (FLUX, Gemini, Grok, Seedream)
npx skills add inference-sh/skills@ai-image-generation

# Video generation (Veo, Seedance, Wan, OmniHuman)
npx skills add inference-sh/skills@ai-video-generation

# LLMs (Claude, Gemini, Kimi, GLM via OpenRouter)
npx skills add inference-sh/skills@llm-models

# Web search (Tavily, Exa)
npx skills add inference-sh/skills@web-search

# AI avatars & lipsync (OmniHuman, Fabric, PixVerse)
npx skills add inference-sh/skills@ai-avatar-video

# Twitter/X automation
npx skills add inference-sh/skills@twitter-automation

# Model-specific
npx skills add inference-sh/skills@flux-image
npx skills add inference-sh/skills@google-veo

# Utilities
npx skills add inference-sh/skills@image-upscaling
npx skills add inference-sh/skills@background-removal

Reference Files

Documentation

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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

Steps

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

Related Skills

Reviews

4.733 reviews
  • A
    Aditi KhannaDec 20, 2024

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

  • K
    Kofi SmithDec 16, 2024

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

  • G
    Ganesh MohaneDec 8, 2024

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

  • H
    Harper ChawlaDec 4, 2024

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

  • S
    Sakshi PatilNov 27, 2024

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

  • L
    Luis ThomasNov 23, 2024

    Keeps context tight: infsh-cli is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Y
    Yash ThakkerNov 19, 2024

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

  • K
    Kaira DesaiNov 7, 2024

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

  • B
    Benjamin KhanOct 26, 2024

    Keeps context tight: infsh-cli is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • C
    Chaitanya PatilOct 18, 2024

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

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