AI Agent Skills

Quant-focused research ideation pipeline: scope selection (3 stages) → anchor-first literature grounding → single-core idea generation → iterative refinement → ELO tourn…

Search academic literature and generate research hypotheses

Generate content ideas backed by real audience demand data from Reddit questions, YouTube search gaps, Twitter discussions, and web search trends. Identifies proven topi…

Guides researchers through structured ideation frameworks to discover high-impact research directions. Use when exploring new problem spaces, pivoting between projects,…

Applies cognitive science frameworks for creative thinking to CS and AI research ideation. Use when seeking genuinely novel research directions by leveraging combinatori…

This skill should be used when scientists need help with research problem selection, project ideation, troubleshooting stuck projects, or strategic scientific decisions.…

Manages persistent research memory across ideation and experimentation cycles. Maintains two stores: Ideation Memory M_I (feasible/unsuccessful directions) and Experimen…

Guides pre-writing planning for academic papers with 4 structured steps: story design (task-challenge-insight-contribution-advantage), experiment planning (comparisons +…

Use to turn a raw feature idea into a reviewed spec.md — a lightweight Socratic interview front (capture the idea, deep-dive the problem) merged with a full product spec…

Generate, explore, and develop original but useful possibilities when an ordinary answer would underserve the objective. Use for ideation, reframing, synthesis, inventio…

Hard-gated ideation for an Arbor research run. Load at the START of every IDEATE round, before drafting any hypothesis. Enforces the PI mindset (mechanism over knob), th…

Divergent-convergent brainstorming with research, ideation, and trade-off analysis. Use when exploring options, generating ideas, comparing approaches. Triggers include…

A set of AI agent skills for research and development tasks.