The prompt_pose skill now comes in the form for the model the canvas's sampler uses:
its drawing model's parameters are counted from the file's header (model_kind.
diffusion_params: safetensors shapes, GGUF tensor dims; a checkpoint's text encoders
and VAE left out), so a compressed GGUF counts like the full model. From 10 billion
(Flux.1, Flux.2, Qwen-Image) the AI is told hands and hard poses come out well and
not to hide or simplify; under it, the clear-pose and optional hand-hiding advice;
when the model cannot be told, both cases.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
- An AI app calling by an older tool list (tool_help or use_tool not offered,
use_tool for a tool offered directly, a tool the list lacks) is told so, and
the task header shows how to reconnect until the app fetches tools/list again.
- add_lora / set_model compare the base models on the model line
(model_advice.py; the page reports the line) and add base_model_note.
- get_model gives author_examples (sampler, steps, CFG, size, a LoRA's weight
from the Civitai record's example pictures) and the version name.
- run_workflow says ComfyUI's refusal as which node, what is wrong and the tool
that fixes it (run_refusal.py; mcp_run.js passes the refusal as data).
- Gates "When I don't answer": wait for me, or go with the recommendation once
the waiting time runs out (choices with a recommended option only), handed to
the AI in the same call and shown on the stage and under Decisions.
- A tool budget test (count, size, description length, required arguments) and
the exam tasks with their scorecard (docs/architecture/tool-exam.md,
tools/tool_exam.mjs). The tool set's text recommends Full for Antigravity.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
