Research

Deep research on any topic and build an interactive statistical visualization dashboard. Use when the user asks to research a topic, visualize data, create a research dashboard, explore trends, compare populations, or analyze statistics across time periods or groups. Supports a pluggable extension system with two output modes: bespoke (unique React dashboards) and template (shared component + JSON data for high-volume structured reports). Extensions auto-detect from user prompts and augment t...

Read research papers and turn them into clear, decision-oriented notes, comparisons, and implementation takeaways. Use this skill whenever someone wants to read, summarize, analyze, compare, or review papers; build a literature overview; extract methods, datasets, benchmarks, or limitations; judge whether a paper is worth reproducing; or turn papers into actionable notes. Also trigger on requests like '读这篇论文', '帮我总结 paper', '精读这篇', '对比这几篇论文', '做文献综述', '提炼贡献/局限/实验设置', '这篇值不值得复现', or '把论文讲明白'.

Research a topic from the last X days on Reddit + X + Web. Specify number of days as first argument.

Guide users through writing a systematic literature review (SLR) following the PRISMA 2020 framework. Use this skill whenever the user mentions 'systematic review', 'systematic literature review', 'SLR', 'PRISMA', 'PRISMA 2020', 'PRISMA flow diagram', 'PRISMA checklist', or asks for help writing, structuring, or auditing a literature review that follows reporting guidelines. Also trigger when the user asks about inclusion/exclusion criteria for a review, search strategies for databases like S...

Expert reference for beneficial ownership data, policy, and BODS. Trigger on: BODS JSON/schema/tools (bodsdata, CoVE-BODS, RDF/SPARQL, open issues), BO registries, FATF R24/R25, FATF mutual evaluations (MERs, FSRBs: APG/CFATF/MONEYVAL/ESAAMLG/MENAFATF/GIABA/EAG/GAFILAT), EU AML/AMLD6/AMLR/BORIS, country BO data (UK, Norway, France, Indonesia, Denmark, Canada/Ontario, Sri Lanka, BVI, Philippines, Ghana, Sweden), GLEIF, corporate data (OpenCorporates, Kyckr, Kausate, Sayari, ICIJ), FtM/OpenSanc...

Adaptive decision framework — one dynamic flow with user checkpoints at every phase. Guides from problem to solution through structured research, metrics, factcheck, and sandbox testing. Use when you face a non-trivial decision, need to research before building, plan a feature or experiment, evaluate trade-offs, or the user says 'awrshift', 'let's think this through', 'research first', 'experiment', 'investigate', 'what's the best approach', 'compare options'. Also trigger on: 'исследуй', 'ра...

Look outside before deciding: search the live web, registries and primary sources at decision time and bring back a report the caller picks from. Use for any question that may have an answer outside this repo — choosing a library or tool (「今どれが主流か」), prior implementations of a design problem (「この問題を解いた skill / repo は既にあるか」), whether a paper or post's claim applies here (「この主張はうちに当てはまるか」), what an official spec or CLI does now (「公式は何と言っているか」), the current state of practice (「今どうなっているか」), or ch...

写"国内外研究现状"（文献综述 / Related Work）。当用户提到研究现状、文献综述、国内外研究对比、Literature Review、述评、研究背景、国内外研究现状时使用。即使用户没有明确说"写研究现状"，只要涉及对某一主题的国内外学术研究现状进行结构化梳理，就应该触发此技能。

Lily 的私人计算生物学 PI 拍板代理。当 Claude 在科研项目里遇到"两个方案都行 / 要不要这么做 / 选 A 还是 B" 的岔路口时，**必须调用此 skill 自己拍板，不要反问 Lily**。覆盖：选题方向、模型架构、数据选择、实验设计、 baseline 选择、消融实验、可视化、投稿目标、修稿策略、审稿回复。也用于：在动手前先用"Nature 审稿人"的眼睛 压力测试当前思路；在写论文/摘要时帮忙打磨创新性叙事。触发词：选题、要不要、A 还是 B、用哪个、跑不跑、 应该选、决策、拍板、PI、审稿人、novelty、创新性、故事、investigate、ablation、baseline、Nature、子刊。 目标：替 Lily 处理 80% 的中等决策，只把真正的红线问题往上交。

Produce high-quality, compilable LaTeX for researchers in computational and applied mathematics. Trigger for theorems, proofs, convergence analysis, algorithms, tables, TikZ figures, derivations, literature reviews, or any structured academic document. Also trigger for "write up", "typeset", "format in LaTeX", "produce a .tex file", "generate a report", or "give me the LaTeX for". Covers numerical optimisation, deep learning theory, EIT, regularisation, PINNs, and numerical analysis. Three mo...

Guide users through the complete behavioral design cycle — from defining a target behavior to diagnosing barriers, designing interventions, testing, and scaling. Draws on published frameworks for process design (DECIDE, SIDE), barrier diagnosis (COM-B, 3B, Fogg B=MAP, CREATE), intervention design (EAST, MINDSPACE, BCW), sustained motivation (SDT), and ethics (APEASE). Also guides experiment design, results analysis, and scaling. For UX researchers, product managers, and behavioral designers.

Execute Teresa Torres' 6-Layer Problem Definition Framework for rigorous product research — from customer voice to scoped problem statement

Score a PhD applicant's profile and rank candidate advisors using a connection-first 4.0-scale scoring system. Best-supported for physics / HEP and materials science (MSE), with the scoring engine extensible to chemistry, biology, CS, math, EE, ChemE, earth science (each with field-specific caveats — see references/journal_tiers.md). Use when the user wants to evaluate their PhD application chances, find matching advisors at top US programs, score a CV for graduate school, or compare candidat...

Deep Research (/deep-research or /dr) — exhaustive, evidence-based investigation of any topic. Use when the user invokes /deep-research, /dr, asks for deep research, says 'research this thoroughly', wants expert-level analysis on any subject (technical, business, scientific, regulatory, financial, medical, legal, etc.), needs quantitative comparison of alternatives, or wants a decision backed by hard data and industry standards. Also trigger when the user says things like 'I need to be 100% s...

Autonomous personalized research loop. Use when the user wants to research a topic autonomously, run a research loop, start adaptive research, or use presets like technique-scout or cross-domain. Triggers on: 'auto run', 'research loop', 'autonomous research', 'run research', 'start research', 'adaptive research'.

This skill should be used when the user asks to "write a PR/FAQ", "prfaq", "working backwards", "product discovery", "evaluate a product idea", "press release FAQ", "test product value", "revise prfaq", "update prfaq", "add research to prfaq", "add FAQs", "run a meeting", "review meeting", "hive meeting", "autonomous meeting", "consensus meeting", "stress test my prfaq", "go/no-go decision", "should we build this", "vote on prfaq", or wants to use the Amazon Working Backwards process to evalu...

Full-autopilot AI research agent powered by Google NotebookLM (notebooklm-py v0.3.4). Ingests sources (URL, text, PDF, DOCX, YouTube, Google Drive), runs deep web research, asks cited questions, and generates 10 native artifact types (audio podcast, video, cinematic video, slide deck, report, quiz, flashcards, mind map, infographic, data table, study guide). Produces original content drafts via Claude, with optional publishing to social platforms via threads-viral-agent integration. Use this ...

Example skill — analyze a topic and provide structured findings

Forces Claude into maximum reasoning depth with citations, multiple perspectives, visual illustrations, and references on every response. Use this skill whenever the user asks to "think deeply", "analyze thoroughly", "break this down properly", "give a full breakdown", "think about this carefully", "explain in depth", or any time a topic deserves more than a surface-level answer. Also trigger for complex questions about science, engineering, philosophy, history, religion, technology, health, ...

Reasoning and sparring partner mode for rigorous, calibrated engagement on any topic — pressure-testing ideas, researching with current authoritative sources, running reuse-before-rebuild checks on "how do I" tasks, and scoping work thoroughly before diving in. Use this skill ONLY when the user explicitly invokes Newton by name — e.g., the message starts with "Newton —" or "Newton," or the message contains "use Newton", "invoke Newton", "ask Newton", or "Newton mode". Do NOT trigger this skil...

当复杂问题需要系统性逐步推理时使用。适用于多阶段分析、设计规划、问题分解，或初始范围不明确且需要受控收敛的任务。

Enforces source-grounded, citation-first research discipline. Use this skill whenever the user asks to research a topic, fact-check a claim, summarize recent findings, look up current information, explain what the evidence says about something, or produce any factual output where accuracy and verifiability matter. Trigger even on conversational phrasing like "what's the deal with X", "is it true that Y", "what do experts say about Z", or "can you check if..." — if the answer requires facts th...

Use when the user asks to research a problem, find solutions, compare approaches, or investigate a technical topic by searching the internet and organizing findings into structured directories.

Decompose a research question into parallel agent workstreams, launch them, monitor progress, and synthesize results. ---