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feat(gateway): skill-aware slash commands, paginated /commands, Telegram 100-cap (#3934)
* feat(gateway): skill-aware slash commands, paginated /commands, Telegram 100-cap Map active skills to Telegram's slash command menu so users can discover and invoke skills directly. Three changes: 1. Telegram menu now includes active skill commands alongside built-in commands, capped at 100 entries (Telegram Bot API limit). Overflow commands remain callable but hidden from the picker. Logged at startup when cap is hit. 2. New /commands [page] gateway command for paginated browsing of all commands + skills. /help now shows first 10 skill commands and points to /commands for the full list. 3. When a user types a slash command that matches a disabled or uninstalled skill, they get actionable guidance: - Disabled: 'Enable it with: hermes skills config' - Optional (not installed): 'Install with: hermes skills install official/<path>' Built on ideas from PR #3921 by @kshitijk4poor. * chore: move 21 niche skills to optional-skills Move specialized/niche skills from built-in (skills/) to optional (optional-skills/) to reduce the default skill count. Users can install them with: hermes skills install official/<category>/<name> Moved skills (21): - mlops: accelerate, chroma, faiss, flash-attention, hermes-atropos-environments, huggingface-tokenizers, instructor, lambda-labs, llava, nemo-curator, pinecone, pytorch-lightning, qdrant, saelens, simpo, slime, tensorrt-llm, torchtitan - research: domain-intel, duckduckgo-search - devops: inference-sh cli Built-in skills: 96 → 75 Optional skills: 22 → 43 * fix: only include repo built-in skills in Telegram menu, not user-installed User-installed skills (from hub or manually added) stay accessible via /skills and by typing the command directly, but don't get registered in the Telegram slash command picker. Only skills whose SKILL.md is under the repo's skills/ directory are included in the menu. This keeps the Telegram menu focused on the curated built-in set while user-installed skills remain discoverable through /skills and /commands.
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optional-skills/devops/cli/SKILL.md
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---
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name: inference-sh-cli
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description: "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"
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version: 1.0.0
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author: okaris
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license: MIT
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metadata:
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hermes:
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tags: [AI, image-generation, video, LLM, search, inference, FLUX, Veo, Claude]
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related_skills: []
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---
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# inference.sh CLI
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Run 150+ AI apps in the cloud with a simple CLI. No GPU required.
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All commands use the **terminal tool** to run `infsh` commands.
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## When to Use
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- User asks to generate images (FLUX, Reve, Seedream, Grok, Gemini image)
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- User asks to generate video (Veo, Wan, Seedance, OmniHuman)
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- User asks about inference.sh or infsh
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- User wants to run AI apps without managing individual provider APIs
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- User asks for AI-powered search (Tavily, Exa)
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- User needs avatar/lipsync generation
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## Prerequisites
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The `infsh` CLI must be installed and authenticated. Check with:
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```bash
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infsh me
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```
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If not installed:
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```bash
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curl -fsSL https://cli.inference.sh | sh
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infsh login
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```
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See `references/authentication.md` for full setup details.
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## Workflow
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### 1. Always Search First
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Never guess app names — always search to find the correct app ID:
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```bash
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infsh app list --search flux
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infsh app list --search video
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infsh app list --search image
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```
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### 2. Run an App
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Use the exact app ID from the search results. Always use `--json` for machine-readable output:
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```bash
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infsh app run <app-id> --input '{"prompt": "your prompt here"}' --json
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```
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### 3. Parse the Output
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The JSON output contains URLs to generated media. Present these to the user with `MEDIA:<url>` for inline display.
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## Common Commands
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### Image Generation
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```bash
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# Search for image apps
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infsh app list --search image
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# FLUX Dev with LoRA
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infsh app run falai/flux-dev-lora --input '{"prompt": "sunset over mountains", "num_images": 1}' --json
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# Gemini image generation
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infsh app run google/gemini-2-5-flash-image --input '{"prompt": "futuristic city", "num_images": 1}' --json
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# Seedream (ByteDance)
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infsh app run bytedance/seedream-5-lite --input '{"prompt": "nature scene"}' --json
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# Grok Imagine (xAI)
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infsh app run xai/grok-imagine-image --input '{"prompt": "abstract art"}' --json
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```
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### Video Generation
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```bash
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# Search for video apps
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infsh app list --search video
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# Veo 3.1 (Google)
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infsh app run google/veo-3-1-fast --input '{"prompt": "drone shot of coastline"}' --json
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# Seedance (ByteDance)
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infsh app run bytedance/seedance-1-5-pro --input '{"prompt": "dancing figure", "resolution": "1080p"}' --json
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# Wan 2.5
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infsh app run falai/wan-2-5 --input '{"prompt": "person walking through city"}' --json
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```
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### Local File Uploads
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The CLI automatically uploads local files when you provide a path:
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```bash
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# Upscale a local image
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infsh app run falai/topaz-image-upscaler --input '{"image": "/path/to/photo.jpg", "upscale_factor": 2}' --json
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# Image-to-video from local file
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infsh app run falai/wan-2-5-i2v --input '{"image": "/path/to/image.png", "prompt": "make it move"}' --json
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# Avatar with audio
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infsh app run bytedance/omnihuman-1-5 --input '{"audio": "/path/to/audio.mp3", "image": "/path/to/face.jpg"}' --json
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```
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### Search & Research
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```bash
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infsh app list --search search
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infsh app run tavily/tavily-search --input '{"query": "latest AI news"}' --json
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infsh app run exa/exa-search --input '{"query": "machine learning papers"}' --json
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```
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### Other Categories
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```bash
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# 3D generation
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infsh app list --search 3d
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# Audio / TTS
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infsh app list --search tts
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# Twitter/X automation
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infsh app list --search twitter
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```
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## Pitfalls
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1. **Never guess app IDs** — always run `infsh app list --search <term>` first. App IDs change and new apps are added frequently.
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2. **Always use `--json`** — raw output is hard to parse. The `--json` flag gives structured output with URLs.
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3. **Check authentication** — if commands fail with auth errors, run `infsh login` or verify `INFSH_API_KEY` is set.
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4. **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.
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5. **Input format** — the `--input` flag takes a JSON string. Make sure to properly escape quotes.
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## Reference Docs
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- `references/authentication.md` — Setup, login, API keys
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- `references/app-discovery.md` — Searching and browsing the app catalog
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- `references/running-apps.md` — Running apps, input formats, output handling
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- `references/cli-reference.md` — Complete CLI command reference
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