القائمة
Use when the user wants to run inference-time scaling on multiple prompts from a file (JSONL, CSV, or TXT). Applies to batch processing, evaluation runs, or dataset-level scaling.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Guides users through inference-time scaling with its_hub, including algorithm selection (Self-Consistency, Best-of-N, Beam Search, Particle Filtering), budget tuning, reward model setup, tool-calling integration, interpreting results, and troubleshooting. Use when the user is working with its_hub, asking about scaling algorithms, debugging scaling issues, or tuning inference quality.
Use when the user wants to set up inference-time scaling for the first time, or when its_hub is not yet installed/configured in the current environment.
Use when the user wants to run inference-time scaling on a prompt — detect environment, execute scaling, and present results. For algorithm selection, budget tuning, reward models, and troubleshooting, consult the inference-scaling-guide skill.
| name | batch-scaling |
| description | Use when the user wants to run inference-time scaling on multiple prompts from a file (JSONL, CSV, or TXT). Applies to batch processing, evaluation runs, or dataset-level scaling. |
| allowed-tools | ["Bash(${CLAUDE_PLUGIN_ROOT}/scripts/its_batch_scale.sh:*)","Bash(${CLAUDE_PLUGIN_ROOT}/scripts/its_detect.sh:*)"] |
Run inference-time scaling on multiple prompts from a file.
prompt or messages fieldprompt column"${CLAUDE_PLUGIN_ROOT}/scripts/its_detect.sh"
If config=missing, tell the user to run the setup-guide skill first.
Call the batch scaling script with the input file and any overrides:
"${CLAUDE_PLUGIN_ROOT}/scripts/its_batch_scale.sh" [--algorithm ALG] [--budget N] [--model KEY] [--output FILE] <input-file>
The script loads config once and processes all prompts in a single process. Default output path is results/<input_name>_scaled.jsonl.
The script outputs a JSON summary with total, succeeded, failed, failures, and output_file.
Report: "N/M prompts completed successfully. K failed. Results written to <output_file>"
If there were failures, list the line numbers and error messages.