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How this skill is triggered — by the user, by Claude, or both
Slash command
/torque:torque-config [setting=value | 'tuning' | 'hardware' | 'safeguards'][setting=value | 'tuning' | 'hardware' | 'safeguards']This skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
View and modify TORQUE system configuration.
View and modify TORQUE system configuration.
Call in parallel:
configure (no args) — general settingsget_llm_tuning — model tuning parametersget_hardware_tuning — GPU/CPU settingscheck_ollama_health — host statusPresent as:
## TORQUE Configuration
### General
| Setting | Value |
|---------|-------|
| max_concurrent | X |
| default_timeout | X min |
### LLM Tuning
| Parameter | Value |
|-----------|-------|
| temperature | X |
| top_p | X |
| preset | X |
### Hardware
| Setting | Value |
|---------|-------|
| num_gpu | X |
| keep_alive | X |
### Hosts
[Per-host status and settings]
get_llm_tuning details. Offer preset selection via AskUserQuestion (code, precise, creative, balanced, fast).get_hardware_tuning. Offer to run benchmark via AskUserQuestion.Parse the setting and route to the correct tool:
max=N or max_concurrent=N → configuretimeout=N → configuretemperature=N, top_p=N → set_llm_tuningpreset=X → apply_llm_presetnum_gpu=N, keep_alive=X → set_hardware_tuningquality_scoring=0|1, build_check=0|1, auto_rollback=0|1 → configureApply the setting and confirm the new value.
npx claudepluginhub torque-ai/torque-ai --plugin torqueGuides creation, editing, and verification of skills for AI coding agents using test-driven development with subagent scenarios. Use when authoring or debugging skills.