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Machine Learning
Command

/list

Browse and search available inference recipes.

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From plugin
sparkrun
5398 skills8 commands
Install
> /plugin marketplace add spark-arena/sparkrun
> /plugin install sparkrun@sparkrun

How it fires

How this command gets triggered: by you, by Claude, or both.

  • Fires itselfClaude auto-loads it when your prompt matches the work.
  • You can call itInvoke it directly when you want it.
  • Slash command/list

Context preview

What this command does when you run it.

Browse and search available inference recipes.

Command definition

list.md

/sparkrun:list

Browse and search available inference recipes.

Usage

/sparkrun:list [query]

Examples

/sparkrun:list
/sparkrun:list qwen3
/sparkrun:list llama-cpp

Behavior

When this command is invoked:

1. **Browse all recipes** (no filter):

sparkrun list

2. **Browse with filters:**

sparkrun list --all                         # include hidden registry recipes
sparkrun list --registry <name>             # filter by registry
sparkrun list --runtime vllm                # filter by runtime (vllm, sglang, llama-cpp)
sparkrun list <query>                       # filter by name (contains-match)
sparkrun list @<registry>                   # shorthand for --registry <registry>
sparkrun list @<registry>/<query>           # that registry, filtered by <query>

3. **Search for recipes** by name, model, runtime, or description (contains-match):

sparkrun recipe search <query>
sparkrun recipe search <query> --registry <name> --runtime sglang
sparkrun recipe search @<registry>/<query>  # registry-scoped shorthand

Use `sparkrun recipe search` as the first attempt when the user wants to find a particular recipe. Only fall back to other approaches if it doesn't return useful results.

4. **Inspect a specific recipe** (by exact name or recipe file):

sparkrun recipe show <recipe>
sparkrun recipe show <recipe> --tp <N>   # include VRAM estimate for N nodes

Use `sparkrun recipe show` when given a specific recipe name or file path -- these may not appear in search results.

5. If the user wants to validate or check VRAM for a recipe:

sparkrun recipe validate <recipe>
sparkrun recipe vram <recipe> --tp <N> --max-model-len 32768 --gpu-mem 0.9

6. To export a normalized recipe:

sparkrun recipe export <recipe>             # print to stdout
sparkrun recipe export <recipe> --json      # JSON format
sparkrun recipe export <recipe> --save out.yaml  # save to file

Notes

  • Recipes come from built-in and custom registries
  • Run `sparkrun registry update` or `sparkrun update` to fetch the latest recipes
  • Use `sparkrun registry list` to see configured registries
  • `sparkrun list` shows everything; `sparkrun recipe search` filters by query; `sparkrun recipe show` inspects a known recipe
  • Recipe names support `@registry/name` syntax for explicit registry selection
Read more
Ships withsparkrun

sparkrun - launch, manage, and stop LLM inference workloads on NVIDIA DGX Spark systems. Live support: https://discord.com/invite/GH5kRgv6ZD

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Repo: spark-arena/sparkrun

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