inno-experiment-dev
Installation
SKILL.md
Inno Experiment Dev (Planning, Implementation, and Submission)
Merges the former inno-implementation-plan, inno-ml-dev-iteration, and the submit step of inno-experiment-submit-refine. Mirrors _create_implementation_plan (830-858), _implement_and_iterate (861-920), and the submit portion of _submit_and_refine_experiments (922-945) in run_infer_idea_ours.py.
Inputs
| Variable | Source | Description |
|---|---|---|
survey_res |
inno-idea-generation or user | The finalized selected idea (or refined_for_downstream) |
references |
pipeline config | Pre-formatted string of source papers |
updated_prepare_res |
inno-prepare-resources | JSON with reference_codebases and reference_paths |
code_survey_res |
inno-code-survey | Comprehensive implementation report / model survey notes |
dataset_description |
from prepare step / context | Description of available datasets (not in instance.json) |
core_code |
instance.json Experiment.core_code |
Absolute path when created by Dr. Claw (e.g. <project_path>/Experiment/core_code); use as-is or resolve with path.join(project_path, value) if relative |
code_references |
instance.json Experiment.code_references |
Absolute path when created by Dr. Claw (e.g. <project_path>/Experiment/code_references); use as-is or resolve if relative |
max_iter_times |
pipeline config | Max judge-iteration rounds (default 2) |
context_variables |
shared state | Mutable dict carrying state across agents |
Plan mode additionally uses ideas and survey-specific prompt variants (build_plan_query_with_survey, build_iteration_query_for_plan, etc.).