skills/inference-sh-6/agent-tools/SKILL.md
Run 150+ AI apps via inference.sh CLI - image generation, video creation, LLMs, search, 3D, Twitter automation. Models: FLUX, Veo, Gemini, Grok, Claude, Seedance, OmniHuman, Tavily, Exa, OpenRouter, and many more. Use when running AI apps, generating images/videos, calling LLMs, web search, or automating Twitter. Triggers: inference.sh, infsh, ai model, run ai, serverless ai, ai api, flux, veo, claude api, image generation, video generation, openrouter, tavily, exa search, twitter api, grok
npx skillsauth add aiskillstore/marketplace agent-toolsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Run 150+ AI apps in the cloud with a simple CLI. No GPU required.

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
# 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"}'
| 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> |
| 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 |
# 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
development
Apple Human Interface Guidelines for content display components. Use this skill when the user asks about charts component, collection view, image view, web view, color well, image well, activity view, lockup, data visualization, content display, displaying images, rendering web content, color pickers, or presenting collections of items in Apple apps. Also use when the user says how should I display charts, what's the best way to show images, should I use a web view, how do I build a grid of items, what component shows media, or how do I present a share sheet. Cross-references: hig-foundations for color/typography/accessibility, hig-patterns for data visualization patterns, hig-components-layout for structural containers, hig-platforms for platform-specific component behavior.
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Automate HelpDesk tasks via Rube MCP (Composio): list tickets, manage views, use canned responses, and configure custom fields. Always search tools first for current schemas.
testing
Expert Haskell engineer specializing in advanced type systems, pure functional design, and high-reliability software. Use PROACTIVELY for type-level programming, concurrency, and architecture guidance.
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GraphQL gives clients exactly the data they need - no more, no less. One endpoint, typed schema, introspection. But the flexibility that makes it powerful also makes it dangerous. Without proper controls, clients can craft queries that bring down your server. This skill covers schema design, resolvers, DataLoader for N+1 prevention, federation for microservices, and client integration with Apollo/urql. Key insight: GraphQL is a contract. The schema is the API documentation. Design it carefully.