Research

Use when theoretical calculations need experimental validation, protocols must be designed with clear hypotheses and success criteria, or resource requirements (equipment, materials, expertise) must be estimated for proposed experiments

Use when factual claims in a science blog essay need verification with source URLs, or when proactive research enrichment would strengthen an argument.

Use when substantive documents (reviews, analyses, synthesis documents) need adversarial review to strengthen arguments, identify weak points, and challenge assumptions before editorial polish (mandatory for Writer → Devil's Advocate pairing protocol). NOT for code review (use copilot) or factual-claim citation verification (use fact-checker).

Use when parameter values appear in multiple documents and consistency must be verified, especially for quantitative values that may differ due to measurement context or require reconciliation. NOT for citation verification (use fact-checker) or essay-style factual claims (use essay-fact-checker).

Use when PHYSICS/ENGINEERING feasibility checks are needed — order-of-magnitude estimates, mass-balance / diffusion / fluid-flow models, identifying rate-limiting steps. NOT for statistical method selection (use statistician), algorithm complexity (use mathematician), or cost estimates (use economist).

Use when orchestrating multi-perspective brainstorming sessions requiring parallel agent execution, confidence-weighted synthesis, and optional workflow handoff. Coordinates 5 parallel perspective agents through a 4-stage pipeline (framing, diverging, converging, output).

Use when evaluating AI tools and agentic workflows against workflow gaps, when conducting quarterly landscape scans, or when assessing integration feasibility of new tools for startup workflows. NOT for general research-direction strategy (use strategist) or scoping a specific feature's requirements (use requirements-analyst).

Query STRING API for protein-protein interactions (59M proteins, 20B interactions). Network analysis, GO/KEGG enrichment, interaction discovery, 5000+ species, for systems biology.

Generate testable hypotheses. Formulate from observations, design experiments, explore competing explanations, develop predictions, propose mechanisms, for scientific inquiry across domains.

Synthesize constraint analysis into actionable report with priorities

Generate creative solutions under extreme constraints — no "impossible" allowed, find a way.

Inject constraints → force creative response → extract transferable principles. Orchestrates constraint injection, response generation, and principle extraction.

Inject artificial constraints to force creative divergence. Generates and applies constraints (resource, time, material, audience, scale) to existing ideas to produce variants.

Find blockers and showstoppers using TOC, TRIZ contradiction analysis, and Pre-mortem techniques.

Identify constraints for a candidate using TOC, TRIZ, and Pre-mortem methods.

Structured questioning SOP to identify practical constraints that shape the research spec. Used during spec generation.

Inject extreme constraints to force innovation — impossibility breeds creativity.

Identify constraints, classify them by type and severity, assess removability, and design removal paths for removable constraints.

Classify constraints into hard constraints, soft constraints, and assumptions.

Orchestrate the full constraint-breaking cycle: extract conflict, challenge assumptions, project resolution

What limits us — identify bottlenecks, quantify constraints, analyze dependencies, resolve conflicts before experiment execution

SOP: 检验 pairwise 判断矩阵的传递一致性，识别不一致项并建议修正

Detect preference cycles, localize inconsistent judgments, request corrections, and recompute ratings until consistency threshold is met.

Follow a provocation's logical consequences step by step to extract viable insights and new research directions.