Synthesize findings from multiple research sources into coherent insights. Use when combining data from different sub-agents or research threads.
Publication-quality visualizations for biomedical and genomics data. Use when creating volcano plots, heatmaps, UMAP plots, dot plots, survival curves, forest plots, or…
Running experiments out of the data warehouse instead of via dedicated experiment platforms. SQL-based assignment, exposure logging discipline, metric definitions in dbt models,…
Search 78 public scientific, biomedical, materials science, and economic databases via REST APIs. Covers physics/astronomy (NASA, NIST, SDSS, SIMBAD), earth/environment (USGS,…
Use when when you have downloaded a curated structure-organism dataset (such as LOTUS) and need to verify the reported counts of unique entities (source databases, organi — from…
Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery including SMILES parsing, standardization, descriptor — from…
Multi-source ML dataset discovery. Search HuggingFace Hub, OpenML, GitHub, and paper cross-references for datasets relevant to a research task.
Use when when you have downloaded a released version of a structured dataset (e.g., LOTUS from Zenodo) and need to confirm it matches the documented headline statistics before…
Use when you have mass spectrometry data arriving through heterogeneous input formats (Task ID from GNPS, Universal Spectrum Identifiers, or Feature-Based Molecular Networking…
Use when when you have partitioned public MS/MS files from MassIVE using the ReDU File Selector into one or more filtered groups (G1–G6) and need to verify that each group's file…
14 data visualization skills. Trigger: charts, plots, figures, publication-quality graphics. Design: one skill per tool with code templates and academic formatting conventions.
Calculate medical date windows including gestational age, estimated delivery dates, and follow-up visit scheduling.
Web search without an API key using DuckDuckGo Lite via web_fetch. Use as a fallback when web_search fails with missing_brave_api_key error, or whenever you need to search the web…
Use when when you have unknown MS/MS spectra with observed precursor m/z values and want to infer the molecular formula and adduct type (e.g., [M+H]+, [M+Na]+, [M+K]+) in a de…
Use when when you have high-resolution LC-MS/MS data for an unknown metabolite or small molecule, have computed or measured the molecular ion mass and fragmentation spectrum, and…
Build trading systems in the style of D.E. Shaw, the pioneering computational finance firm. Emphasizes systematic strategies, rigorous quantitative research, and world-class…
Debug hard failures with reproduction, hypotheses, instrumentation, experiments, and regression proof.
Use when you have tandem mass spectra data and need to predict a discrete molecular property (e.g., presence/absence of a sulfo group) while maintaining full interpretability of…
MUST CHECK FIRST before DeepWiki or any external research. Local-first codebase documentation wikis. **Priority order for library/framework research**: 1.
Multi-stage operational deliberation for decision validation, strategy, or technical claims (e.g., "stress test this idea", "should I use X or Y").
Use when generating novel ideas, breakthroughs, concepts, product ideas, research directions, startup ideas, or creative angles in any domain that aren't already obvious.
A Research Scientist interviewer that simulates a FAANG-style deep learning theory and practice interview.
Use when when you have preprocessed MS/MS spectral data (normalized peak intensities and m/z values) and need to convert each spectrum into a learned molecular embedding — from…
Use when you have paired tandem MS/MS spectra with known molecular fingerprints,
Use when you have paired mass-spectrometry spectral data (m/z and intensity arrays) with known molecular fingerprints or InChIKeys, and need to train a supervised deep learning…
Use when you have a pre-trained DNN model for retention time prediction and need to adapt it to a new chromatographic method or instrument where you have only 10–20 calibration…
Use when training a DNN on retention time prediction or similar continuous regression tasks where: (1) the feature space is very high-dimensional (thousands of molecular…
Use when the user wants to manually trigger structural review and/or cross-model adversarial review on a deep-work Phase document (brainstorm/research/plan).
Use when reviewing, auditing, QAing, critiquing, verifying, or assessing any artifact — a spec, code change, diff, PR, research report, skill, prompt, or document.
Conduct comprehensive deep research on any topic using Dify-powered workflow - searches documentation, academic papers, tutorials, APIs, best practices, and returns structured…
Conduct enterprise-grade research with multi-source synthesis, citation tracking, and verification. Use when user needs comprehensive analysis requiring 10+ sources, veri — from…
Comprehensive research assistant that synthesizes information from multiple sources with citations. Use when: conducting in-depth research, gathering sources, writing research…
Execute autonomous multi-step research using Google Gemini Deep Research Agent. Use for: market analysis, competitive landscaping, literature reviews, technical research — from…
Investiga documentación oficial y valida soluciones en internet antes de implementar.
Comprehensive research agent for in-depth investigation. Use when users ask for deep research, comprehensive analysis, market research, academic surveys, competitive analysis,…
Execute autonomous multi-step research using Google Gemini Deep Research Agent. Use for: market analysis, competitive landscaping, literature reviews, technical research — from…
Produce an approved deep-research brief from bounded research, synthesis, and governed packaging.
Execute autonomous multi-step research using Google Gemini Deep Research Agent. Use for: market analysis, competitive landscaping, literature reviews, technical research — from…
Deep research skill powered by NotebookLM MCP. Conducts structured multi-source research (market analysis, competitive intel, trend analysis, prospect research) using Google…
Pesquisa web profunda multi-fonte orquestrando Tavily (semântica) + Exa (deep), Perplexity (reasoning) e WebFetch pra complementar com fontes primárias.
Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports.
Comprehensive research methodology combining scholarly research, scientific data analysis, evidence synthesis, source evaluation, and systematic review practices for producing…
Fan-out-Recherche + adversariale Verifikation + zitierter Report. Trigger: tiefe Recherche.
Given outputs from 5 research sub-agents (time-sliced or partitioned), validate and synthesize them into a coherent, citation-backed Markdown deep research report with…
ZAI/GLM uyumlu derin web araştırma skilli. Sadece Hermes native araçlar (web_search, web_extract, terminal) kullanır. Dış API key gerekmez (Google, OpenAI, Gemini yok).
中文深度调研工具。基于 academic-deep-research fork，针对中文场景优化：自动生成中文 PDF（内嵌样式、容错降级）、Tavily 搜索集成、飞书自动交付。适用于竞品分析、行业调研、政策研究等需要严格方法论的场景。使用 native OpenClaw 工具（web_search, web_fetch,…
Performs comprehensive, multi-layered research on any topic with structured analysis and synthesis of information from multiple sources.
Performs comprehensive, multi-layered research on any topic with structured analysis and synthesis of information from multiple sources.
Master the art of focused, distraction-free work. Enter flow states reliably, protect your attention, and produce your best work consistently.
Research DeepBook trading data and market gaps on Sui. Use when the user wants DeepBook research, market opportunities, or underserved pairs.
Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditional ML or GNNs when you want extensive featurizat — from…
Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditional ML or GNNs when you want extensive featurizat — from…
Molecular machine learning toolkit. Property prediction (ADMET, toxicity), GNNs (GCN, MPNN), MoleculeNet benchmarks, pretrained models, featurization, for drug discovery ML.
Full specialist analysis via parallel agent dispatch. Researcher, Architect, and PM produce a prioritized report of what to build next (30-60s).
NGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.
Search and progressively read open-access academic papers through DeepXiv. Use when the user wants layered paper access, section-level reading, trending papers, or DeepXiv-backed…
Build a markdown baseline table for a research topic using deepxiv search, brief, head, and experiment-section reads, extracting paper title, URL, open-source status, datasets,…
ByteDance's open-source super agent harness — spawns parallel sub-agents, Docker sandbox execution, persistent long-term memory, modular skills (research/report/slides).
Analyze manufacturing defect detection and quality control systems — computer vision inspection pipelines, SPC control charts, Six Sigma process capability (Cp/Cpk), defect…
DefiLlama API integration for DeFi analytics - TVL, prices, yields, volumes, fees, bridges, and DAT data.