discovery-director
SolidOperate as a research director making original discoveries from a given biological question and dataset. Use when the task is open-ended scientific research, exploring omics or experimental data for findings, hypothesis generation and testing, screening a large candidate space of genes, variants, features or compounds, investigating an anomaly, or deciding what experiment or analysis to run next. Triggers on "make discoveries", "explore this data", "find something in", "what's in this dataset", "research this question", "generate hypotheses", "why is this result happening".
Install
Quality Score: 80/100
Skill Content
Details
- Author
- dekan-aleksandr
- Repository
- dekan-aleksandr/biodiscovery-skills
- Created
- 1 weeks ago
- Last Updated
- 1 weeks ago
- Language
- Shell
- License
- MIT
Similar Skills
Semantically similar based on skill content — not just same category
discovery-analyst
Converts messy discovery inputs (interviews, feedback, research, tickets) into structured hypotheses, assumptions, and candidate requirements with full traceability.
discovery-toolbox
A routed repertoire of ~90 scientific thinking operators for biological research agents - visual reasoning, detectability and information budgets, search reframing, causal identification, competing explanations, observation and selection processes, pipeline artifact diagnosis, effort allocation, and confirmation hygiene. Use when a screen returns null or weak results, a result looks too good, search has stagnated, a causal claim is being made, an anomaly needs explaining, a pipeline is suspected, or a lead is about to be escalated. Load the smallest relevant section, activate 1-3 operators, then return to the research loop.
researcher
Runs multi-source investigations using a structured evidence-mapping cycle. Routes between business research, academic research, and claim verification. Triggers on: "research", "investigate", "verify", "compare", "analyze", "look into", "dig into", "fact check", "due diligence", "deep dive", "what is really happening", "how do real practitioners see this", "is this true", "is this legit", "what's the real story", "market landscape", "state of the art", "literature review", "competitive analysis", "opportunity scan", "risk assessment", "研究", "调研", "调查", "分析", "验证", "核实", "深挖", "摸底", "行业分析", "市场调研", "竞品分析", "尽调", "尽职调查", "这个靠谱吗", "真实情况是什么", "帮我查查", "帮我看看", "有没有前景", "值不值得", "到底怎么样", "是真的吗", "论文调研", "文献综述", "技术选型", "机会分析".