idea-creator

Solid

Generate and rank research ideas given a broad direction. Use when user says "找idea", "brainstorm ideas", "generate research ideas", "what can we work on", or wants to explore a research area for publishable directions.

AI & Automation 11,051 stars 1037 forks Updated today MIT

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Skill Content

# Research Idea Creator Generate publishable research ideas for: $ARGUMENTS ## Overview Given a broad research direction from the user, systematically generate, validate, and rank concrete research ideas. This skill composes with `/research-lit`, `/novelty-check`, and `/research-review` to form a complete idea discovery pipeline. ## Constants - **PILOT_MAX_HOURS = 2** — Skip any pilot estimated to take > 2 hours per GPU. Flag as "needs manual pilot". - **PILOT_TIMEOUT_HOURS = 3** — Hard timeout: kill pilots exceeding 3 hours. Collect partial results if available. - **MAX_PILOT_IDEAS = 3** — Pilot at most 3 ideas in parallel. Additional ideas are validated on paper only. - **MAX_TOTAL_GPU_HOURS = 8** — Total GPU budget for all pilots combined. - **REVIEWER_MODEL = `gpt-5.4`** — Model used via a secondary Codex agent for brainstorming and review. Must be an OpenAI model (e.g., `gpt-5.4`, `o3`, `gpt-4o`). > 💡 Override via argument, e.g., `/idea-creator "topic" — pilot budget: 4h per idea, 20h total`. ## Workflow ### Phase 1: Landscape Survey (5-10 min) Map the research area to understand what exists and where the gaps are. 1. **Scan local paper library first**: Check `papers/` and `literature/` in the project directory for existing PDFs. Read first 3 pages of relevant papers to build a baseline understanding before searching online. This avoids re-discovering what the user already knows. 2. **Search recent literature** using WebSearch: - Top venues in the last 2 y...

Details

Author
wanshuiyin
Repository
wanshuiyin/Auto-claude-code-research-in-sleep
Created
2 months ago
Last Updated
today
Language
Python
License
MIT

Integrates with

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