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Recommend the best model tier (haiku/sonnet/opus) for the current task by complexity and budget.
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Basé sur la classification professionnelle SOC
Scan installed skills to extract cross-cutting principles and distill them into rules — append, revise, or create new rule files.
Audit all installed OpenClaw skills for quality: content overlap, freshness, and uniqueness. Supports Quick Scan (changed only) and Full Stocktake modes.
Cluster MEMORY.md entries by theme and optionally generate SKILL.md drafts.
Export MEMORY.md to a timestamped markdown file for sharing or backup.
Import memory entries from a markdown export file, merging with MEMORY.md without duplicating.
Show current workspace memory: MEMORY.md contents, pending recalls, and index status.
| name | cmd_model_route |
| description | Recommend the best model tier (haiku/sonnet/opus) for the current task by complexity and budget. |
| user-invocable | true |
| origin | openclaw-mas |
| argument-hint | <project-path> <task> |
The first argument is the project path. Before doing anything else:
Recommend the best model tier for the current task by complexity and budget.
/model-route [task-description] [--budget low|med|high]
haiku: deterministic, low-risk mechanical changessonnet: default for implementation and refactorsopus: architecture, deep review, ambiguous requirements$ARGUMENTS:
[task-description] optional free-text--budget low|med|high optional