discovery-toolbox
SolidA 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.
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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-director
Operate 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".
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".
insight-angles
Angle & connection discovery engine. Classifies a subject (domain, type, current trends), picks lenses from a 17-family roster AND derives dynamic subject-specific ones, then runs layered passes via a context-adaptive venue (cold fan-out for independence — the cold-review effect — or inline) to surface frames, typed connections, hidden assumptions, candidate-expansions, and second-order effects, scored by novelty × relevance. Trigger on /insight-angles, "find unseen angles", "what connections am I missing", "what are we not seeing", "surface hidden assumptions", "reframe this". Not insight-explore (generates solution options — angles surfaces frames & connections) or insight-adversarial (attacks for flaws via personas — angles widens via lenses). Not insight-critique (reviews an output) or insight-cross-examine (the deliberation engine that orchestrates this one).