Generates a full dedicated Docusaurus page for every one of the 132 skills
(73 bundled + 59 optional) under website/docs/user-guide/skills/{bundled,optional}/<category>/.
Each page carries the skill's description, metadata (version, author, license,
dependencies, platform gating, tags, related skills cross-linked to their own
pages), and the complete SKILL.md body that Hermes loads at runtime.
Previously the two catalog pages just listed skills with a one-line blurb and
no way to see what the skill actually did — users had to go read the source
repo. Now every skill has a browsable, searchable, cross-linked reference in
the docs.
- website/scripts/generate-skill-docs.py — generator that reads skills/ and
optional-skills/, writes per-skill pages, regenerates both catalog indexes,
and rewrites the Skills section of sidebars.ts. Handles MDX escaping
(outside fenced code blocks: curly braces, unsafe HTML-ish tags) and
rewrites relative references/*.md links to point at the GitHub source.
- website/docs/reference/skills-catalog.md — regenerated; each row links to
the new dedicated page.
- website/docs/reference/optional-skills-catalog.md — same.
- website/sidebars.ts — Skills section now has Bundled / Optional subtrees
with one nested category per skill folder.
- .github/workflows/{docs-site-checks,deploy-site}.yml — run the generator
before docusaurus build so CI stays in sync with the source SKILL.md files.
Build verified locally with `npx docusaurus build`. Only remaining warnings
are pre-existing broken link/anchor issues in unrelated pages.
5.2 KiB
| title | sidebar_label | description |
|---|---|---|
| Inference Sh Cli — Run 150+ AI apps via inference | Inference Sh Cli | Run 150+ AI apps via inference |
{/* This page is auto-generated from the skill's SKILL.md by website/scripts/generate-skill-docs.py. Edit the source SKILL.md, not this page. */}
Inference Sh Cli
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
Skill metadata
| Source | Optional — install with hermes skills install official/devops/cli |
| Path | optional-skills/devops/cli |
| Version | 1.0.0 |
| Author | okaris |
| License | MIT |
| Tags | AI, image-generation, video, LLM, search, inference, FLUX, Veo, Claude |
Reference: full SKILL.md
:::info The following is the complete skill definition that Hermes loads when this skill is triggered. This is what the agent sees as instructions when the skill is active. :::
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:
infsh me
If not installed:
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:
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:
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
# Search for image apps
infsh app list --search image
# FLUX Dev with LoRA
infsh app run falai/flux-dev-lora --input '{"prompt": "sunset over mountains", "num_images": 1}' --json
# Gemini image generation
infsh app run google/gemini-2-5-flash-image --input '{"prompt": "futuristic city", "num_images": 1}' --json
# Seedream (ByteDance)
infsh app run bytedance/seedream-5-lite --input '{"prompt": "nature scene"}' --json
# Grok Imagine (xAI)
infsh app run xai/grok-imagine-image --input '{"prompt": "abstract art"}' --json
Video Generation
# Search for video apps
infsh app list --search video
# Veo 3.1 (Google)
infsh app run google/veo-3-1-fast --input '{"prompt": "drone shot of coastline"}' --json
# Seedance (ByteDance)
infsh app run bytedance/seedance-1-5-pro --input '{"prompt": "dancing figure", "resolution": "1080p"}' --json
# Wan 2.5
infsh app run falai/wan-2-5 --input '{"prompt": "person walking through city"}' --json
Local File Uploads
The CLI automatically uploads local files when you provide a path:
# Upscale a local image
infsh app run falai/topaz-image-upscaler --input '{"image": "/path/to/photo.jpg", "upscale_factor": 2}' --json
# Image-to-video from local file
infsh app run falai/wan-2-5-i2v --input '{"image": "/path/to/image.png", "prompt": "make it move"}' --json
# Avatar with audio
infsh app run bytedance/omnihuman-1-5 --input '{"audio": "/path/to/audio.mp3", "image": "/path/to/face.jpg"}' --json
Search & Research
infsh app list --search search
infsh app run tavily/tavily-search --input '{"query": "latest AI news"}' --json
infsh app run exa/exa-search --input '{"query": "machine learning papers"}' --json
Other Categories
# 3D generation
infsh app list --search 3d
# Audio / TTS
infsh app list --search tts
# Twitter/X automation
infsh app list --search twitter
Pitfalls
- Never guess app IDs — always run
infsh app list --search <term>first. App IDs change and new apps are added frequently. - Always use
--json— raw output is hard to parse. The--jsonflag gives structured output with URLs. - Check authentication — if commands fail with auth errors, run
infsh loginor verifyINFSH_API_KEYis set. - Long-running apps — video generation can take 30-120 seconds. The terminal tool timeout should be sufficient, but warn the user it may take a moment.
- Input format — the
--inputflag takes a JSON string. Make sure to properly escape quotes.
Reference Docs
references/authentication.md— Setup, login, API keysreferences/app-discovery.md— Searching and browsing the app catalogreferences/running-apps.md— Running apps, input formats, output handlingreferences/cli-reference.md— Complete CLI command reference