inference-sh-cli
From NousResearch
Run 150+ AI apps via inference.sh CLI (infsh) — image generation, video creation, LLMs, search, 3D, social automation. Uses the terminal tool. Triggers: inference.sh, infsh, ai apps, flux, veo, image generation, video generation, seedream, seedance, tavily
Facts
- Repository
- NousResearch/hermes-agent
- Status
- Actively maintained
- Last commit
- Source file
- optional-skills/devops/cli/SKILL.md
Source preview
The instructions Claude Code reads when this skill runs.
# inference.sh CLI
Run 150+ AI apps in the cloud with a simple CLI. No GPU required.
All commands use the **terminal tool** to run `infsh` commands.
## When to Use
- User asks to generate images (FLUX, Reve, Seedream, Grok, Gemini image)
- User asks to generate video (Veo, Wan, Seedance, OmniHuman)
- User asks about inference.sh or infsh
- User wants to run AI apps without managing individual provider APIs
- User asks for AI-powered search (Tavily, Exa)
- User needs avatar/lipsync generation
## Prerequisites
The `infsh` CLI must be installed and authenticated. Check with:
```bash
infsh me
```
If not installed:
```bash
curl -fsSL https://cli.inference.sh | sh
infsh login
```
See `references/authentication.md` for full setup details.
## Workflow
### 1. Always Search First
Never guess app names — always search to find the correct app ID:
```bash
infsh app list --search flux
infsh app list --search video
infsh app list --search image
```
### 2. Run an App
Use the exact app ID from the search results. Always use `--json` for machine-readable output:
```bash
infsh app run <app-id> --input '{"prompt": "your prompt here"}' --json
```
### 3. Parse the Output
The JSON output contains URLs to generated media. Present these to the user with `MEDIA:<url>` for inline display.
## Common Commands
### Image Generation
```bash
# Search for image apps
infsh app list --searchView full source on GitHub →Other skills
django-tdd
★ 229,918Django testing strategies with pytest-django, TDD methodology, factory_boy, mocking, coverage, and testing Django REST Framework APIs.
affaan-mupdated 14d agoMITclickhouse-io
★ 229,918ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
affaan-mupdated 14d agoMITlaravel-patterns
★ 229,918Patrones de arquitectura Laravel, routing/controladores, Eloquent ORM, capas de servicio, colas, eventos, caché y API resources para aplicaciones en producción.
affaan-mupdated 14d agoMITverification-loop
★ 229,918Sistema de verificación completo para sesiones de Claude Code.
affaan-mupdated 14d agoMITstrategic-compact
★ 229,918Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.
affaan-mupdated 14d agoMITfrontend-patterns
★ 229,918Patrones de desarrollo frontend para React, Next.js, gestión de estado, optimización de rendimiento y buenas prácticas de UI.
affaan-mupdated 14d agoMIT