Summarization Agent Skills

Analyze any text to extract a cognitive fingerprint across 12 dimensions, revealing reasoning patterns, decision styles, and thinking signatures.

Run structured What-If scenario analysis with 4-6 branch possibility exploration (best, likely, worst, wild card, contrarian, second-order). Use for speculative questions about uncertain futures, strategic forks, contingency planning, or stress-testing decisions.

Look up current research and scientific information across three backends: fast web search, deep multi-source synthesis, and scholarly paper searches. Automatically routes each query to the best backend and saves every result for reproducible citation.

Conduct systematic literature reviews by searching multiple academic databases, synthesizing findings, and generating professionally formatted documents with verified citations.

Calculate sample sizes, minimum detectable effects, and power curves for study planning using closed-form formulas or Monte Carlo simulation.

Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and writing with quantitative scoring and actionable feedback.

Design experiments and studies before data collection — choosing a design, randomizing, blocking, and laying out treatment combinations so results are interpretable.

Guides statistical hypothesis testing with assumption checks, effect sizes, power analysis, Bayesian alternatives, and APA-formatted reporting for research data.

Formulate testable hypotheses from observations, design experiments, and generate predictions using a structured scientific method framework.

Create publication-quality scientific diagrams using AI generation with smart iterative refinement and quality review.

Generate novel research ideas through structured, conversational brainstorming that explores interdisciplinary connections, challenges assumptions, and identifies research gaps.

Automatically detect and analyze scientific data files across 200+ formats, generating detailed markdown reports with quality metrics and analysis recommendations.

Audits a research knowledge base for stale profiles, thesis drift, and orphan pages, returning a 0-100 health score with actionable recommendations.

Prepare meeting materials by pulling context from Notion, tailoring agendas and pre-reads, and enriching with research.

Search and fetch Notion pages, synthesize findings, and publish structured briefs, summaries, comparisons, or reports with citations and source links.

Create a comprehensive company research brief with executive quotes, product strategy, and organizational context for competitive analysis, partnership evaluation, interview preparation, or market entry decisions.

Improves multi-step research reliability with structured protocols for source validation, error recovery, and transparent reasoning.

Orchestrates end-to-end autonomous AI research projects using a two-loop architecture for rapid experimentation and synthesis, producing papers and presentations.

Compiles research inputs—PDFs, code, logs, notes—into structured Agent-Native Research Artifacts with cognitive and physical layers.

Performs a semantic epistemic review of Agent-Native Research Artifacts, scoring six dimensions and producing a constructive report with a recommendation.

Guides researchers through structured ideation frameworks to discover high-impact research directions.

Design surveys that collect reliable, unbiased quantitative data to validate hypotheses and measure user attitudes at scale.

Organize qualitative research data into an affinity diagram with themes, clusters, and insight statements.

Analyzes Stockbee-style Day 1 Episodic Pivot candidates by scoring catalyst quality alongside price/volume confirmation, gap/range expansion, volume shock, neglect/revaluation context, liquidity, and risk to the EP-day low.

Install a local rebuttal workspace for academic papers with structured intake, reviewer analysis, and strategy planning to produce venue-compliant author responses.

Extract and analyze Douyin video data into evidence-graded learning notes, summaries, and research briefs using subtitles, ASR, comments, and AI-assisted reading.

Bereitet Jurastudierende auf Rechtsgeschichte vor: prüft Fristen, Form, Zuständigkeit und Rechtsweg, liefert eine Fristen- und Risikoampel mit Sofortmaßnahmen.

Ermittelt die ortsübliche Vergleichsmiete anhand amtlicher Mietspiegel-Quellen, prüft Mietpreisbremse und Kappungsgrenze und erstellt ein Übergabe-Datenblatt für Folgeskills.

Generates and refactors content optimized for AI Overviews, ChatGPT, and Gemini with a structure that is easy to cite and summarize.

Summarizes URLs, local files, and YouTube links via a CLI, with options for transcript extraction and configurable models.

Distills complex content into concise, structured summaries with key takeaway bullets and a bottom-line conclusion.

Answers questions using a structured wiki knowledge base, returning cited synthesis with wikilinks, counter-arguments, and knowledge gaps.

Wraps the notebooklm-py CLI to ingest sources and generate synthesized artifacts like podcasts, slide decks, and quizzes from Google NotebookLM.

Conducts market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries.

Coleta a linguagem literal do público em avaliações, fóruns, redes sociais, tickets de suporte e transcrições de vendas para gerar um banco de frases verbatim que orienta a escrita de copy.

Performs web search, content extraction, site crawling, URL discovery, and deep research via the Tavily CLI, returning JSON for LLM consumption.