idea-discovery

# Workflow 1: Idea Discovery Pipeline Orchestrate a complete idea discovery workflow for: **$ARGUMENTS** ## Overview This skill chains sub-skills into a single automated pipeline: ``` /research-lit → /idea-creator → /novelty-check → /research-review → /research-refine-pipeline (survey) (brainstorm) (verify novel) (critical feedback) (refine method + plan experiments) ``` Each phase builds on the previous one's output. The final deliverables are a validated `idea-stage/IDEA_REPORT.md` with ranked ideas, plus a refined proposal (`refine-logs/FINAL_PROPOSAL.md`) and experiment plan (`refine-logs/EXPERIMENT_PLAN.md`) for the top idea. ## Constants - **PILOT_MAX_HOURS = 2** — Skip any pilot experiment estimated to take > 2 hours per GPU. Flag as "needs manual pilot" in the report. - **PILOT_TIMEOUT_HOURS = 3** — Hard timeout: kill any running pilot that exceeds 3 hours. Collect partial results if available. - **MAX_PILOT_IDEAS = 3** — Run pilots for at most 3 top ideas in parallel. Additional ideas are validated on paper only. - **MAX_TOTAL_GPU_HOURS = 8** — Total GPU budget across all pilots. If exceeded, skip remaining pilots and note in report. - **AUTO_PROCEED = true** — When `true`, checkpoints are informational: report the selected option and continue in the same turn. Set to `false` to ask for explicit user confirmation and end the turn at each selection checkpoint. - **REVIEWER_MODEL = `gpt-5.6-sol`** — Model used via Codex MCP. Must be an OpenAI model...