Research & Search

qhjqhj00 Skill

Evaluates the ability of citation recommendation systems to retrieve and rank relevant academic papers given a query context. It probes ranking quality, recall of relevant candidates, and normalized discounted cumulative gain across multiple academic datasets. Use when the user wants to benchmark on ACL-200, FullTextPeerRead, Refseer, arXiv, ArSyTa, or asks about evaluating this task. Reports MRR.

qhjqhj00 Skill

Evaluates the multilingual capabilities of LLMs across understanding, generation, reasoning, and instruction-following tasks in both high- and low-resource languages. It measures how well models comprehend instructions, translate, summarize, and perform commonsense reasoning across 100+ languages. Use when the user wants to benchmark on PAWS-X, FLORES-101, XL-Sum, XCOPA, Self-Instruct*, or asks about evaluating this task. Reports Accuracy.

qhjqhj00 Skill

Evaluates semi-supervised node classification on citation networks using an attention-based graph neural network. Tests performance under fixed benchmark splits, random node sampling, and larger training sets to measure classification accuracy and attention interpretability. Use when the user wants to benchmark on CiteSeer, Cora, PubMed, or asks about evaluating this task. Reports classification accuracy.

qhjqhj00 Skill

Evaluates large language models' ability to act as coding assistants for astronomy-specific scientific workflows. It probes domain-specific API usage, data manipulation, and the generation of research-standard visualizations from natural language queries. Use when the user wants to benchmark on AstroVisBench, or asks about evaluating this task. Reports execution-based evaluation.

qhjqhj00 Skill

Evaluates end-to-end entity linking systems on their ability to detect entity mentions and correctly disambiguate them to knowledge base entities. It specifically probes for systemic benchmark biases, such as overreliance on named entities, ambiguous disambiguation choices, and underrepresented entity types, by introducing fairer evaluation protocols. Use when the user wants to benchmark on Existing and new EL benchmarks, or asks about evaluating this task. Reports Micro F1.

qhjqhj00 Skill

Evaluates the end-to-end effectiveness of deep-research agents in retrieving evidence and answering complex queries, as well as the standalone effectiveness of various retrievers. It probes the interplay between retrieval quality, reasoning capability, and search efficiency in agentic workflows. Use when the user wants to benchmark on BrowseComp-Plus, or asks about evaluating this task. Reports Accuracy.

qhjqhj00 Skill

Evaluates retrieval-augmented models' ability to perform multi-hop reasoning over hybrid knowledge (unstructured text and knowledge graphs) using time-framed, external scientific literature to prevent parametric memorization. Use when the user wants to benchmark on Arxiv-AI, Arxiv-CY, Arxiv-BIO, or asks about evaluating this task. Reports accuracy.

qhjqhj00 Skill

Evaluates LLMs' ability to synthesize scientific literature by answering open-ended, multi-domain questions using retrieved papers. It probes long-form generation, factual correctness, citation accuracy, and content quality/organization across single- and multi-paper retrieval setups. Use when the user wants to benchmark on ScholarQABench, or asks about evaluating this task. Reports Citation F1.

qhjqhj00 Skill

Evaluates the quality, comprehensiveness, and evidence support of AI-generated academic peer reviews across multiple dimensions. It also measures the alignment between AI-identified research limitations and human reviewer findings, as well as the impact of citation time spans on review coherence and technical focus. Use when the user wants to benchmark on EchoReview-Bench, or asks about evaluating this task. Reports Overall Quality score.

qhjqhj00 Skill

Evaluates AI co-scientist agents' ability to autonomously plan, execute, and interpret single-cell biology workflows to answer open-ended research questions (OEQs) and multiple-choice questions (MCQs). It probes hypothesis generation, code execution, data analysis, and scientific reasoning in a domain-specific setting. Use when the user wants to benchmark on sc-HeurekaBench-Lite, or asks about evaluating this task. Reports Correctness [1-5].

qhjqhj00 Skill

This evaluation probes a system's ability to act as a scientific advisor by predicting whether research hypotheses will be accepted at a top-tier AI conference. It measures alignment with expert peer-review decisions using ranking-based precision and recall metrics on a held-out set of conference submissions. Use when the user wants to benchmark on ICLR 2025 Submissions Test Set, or asks about evaluating this task. Reports Top-30% Precision.

qhjqhj00 Skill

Evaluates a retrieval-augmented generation framework's ability to synthesize novel, feasible, and interesting research abstracts by combining distant topics from AI conference literature. It probes long-range concept recombination and grounded ideation capabilities. Use when the user wants to benchmark on AI Conference Papers (ICLR, NeurIPS, ICML, ACL, ECCV), or asks about evaluating this task. Reports Novelty.

qhjqhj00 Skill

Evaluates whether synthetic data generated by LLMs can effectively substitute real data for benchmarking NLP models, measuring both absolute performance alignment and relative ranking preservation across tasks. Additionally quantifies the self-bias of LLMs when they generate data and subsequently solve the same tasks. Use when the user wants to benchmark on Headlines, Tweet-News, CrossNER-Literature, CrossNER-Politics, SNIPS, ATIS, or asks about evaluating this task. Reports MSPD.

qhjqhj00 Skill

Evaluates the accuracy of a numerical vector radiative transfer code by comparing its outputs for scattering phase functions, polarization, and albedo against established reference results from prior literature. Use when the user has predictions and gold and needs to compute disk-integrated total degree of polarization.

timlai666 Bundle

This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.

timlai666 Bundle

Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks, or visualizing network topologies. Applicable to social networks, biological networks, transportation systems, citation networks, and any domain involving pairwise relationships.

timlai666 Bundle

Comprehensive biosignal processing toolkit for analyzing physiological data including ECG, EEG, EDA, RSP, PPG, EMG, and EOG signals. Use this skill when processing cardiovascular signals, brain activity, electrodermal responses, respiratory patterns, muscle activity, or eye movements. Applicable for heart rate variability analysis, event-related potentials, complexity measures, autonomic nervous system assessment, psychophysiology research, and multi-modal physiological signal integration.

timlai666 Bundle

Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data analysis and safety research.

timlai666 Bundle

Access BRENDA enzyme database via SOAP API. Retrieve kinetic parameters (Km, kcat), reaction equations, organism data, and substrate-specific enzyme information for biochemical research and metabolic pathway analysis.

timlai666 Bundle

Access COSMIC cancer mutation database. Query somatic mutations, Cancer Gene Census, mutational signatures, gene fusions, for cancer research and precision oncology. Requires authentication.

timlai666 Bundle

Direct REST API access to PubMed. Advanced Boolean/MeSH queries, E-utilities API, batch processing, citation management. For Python workflows, prefer biopython (Bio.Entrez). Use this for direct HTTP/REST work or custom API implementations.

timlai666 Bundle

Efficient database search tool for bioRxiv preprint server. Use this skill when searching for life sciences preprints by keywords, authors, date ranges, or categories, retrieving paper metadata, downloading PDFs, or conducting literature reviews.

timlai666 Bundle

Query Ensembl genome database REST API for 250+ species. Gene lookups, sequence retrieval, variant analysis, comparative genomics, orthologs, VEP predictions, for genomic research.

timlai666 Bundle

Query and analyze scholarly literature using the OpenAlex database. This skill should be used when searching for academic papers, analyzing research trends, finding works by authors or institutions, tracking citations, discovering open access publications, or conducting bibliometric analysis across 240M+ scholarly works. Use for literature searches, research output analysis, citation analysis, and academic database queries.

timlai666 Bundle

Query FRED (Federal Reserve Economic Data) API for 800,000+ economic time series from 100+ sources. Access GDP, unemployment, inflation, interest rates, exchange rates, housing, and regional data. Use for macroeconomic analysis, financial research, policy studies, economic forecasting, and academic research requiring U.S. and international economic indicators.

timlai666 Bundle

Comprehensive citation management for academic research. Search Google Scholar and PubMed for papers, extract accurate metadata, validate citations, and generate properly formatted BibTeX entries. This skill should be used when you need to find papers, verify citation information, convert DOIs to BibTeX, or ensure reference accuracy in scientific writing.

timlai666 Bundle

Query and download public cancer imaging data from NCI Imaging Data Commons using idc-index. Use for accessing large-scale radiology (CT, MR, PET) and pathology datasets for AI training or research. No authentication required. Query by metadata, visualize in browser, check licenses.

timlai666 Bundle

Query ClinicalTrials.gov via API v2. Search trials by condition, drug, location, status, or phase. Retrieve trial details by NCT ID, export data, for clinical research and patient matching.

timlai666 Bundle

Generate comprehensive market research reports (50+ pages) in the style of top consulting firms (McKinsey, BCG, Gartner). Features professional LaTeX formatting, extensive visual generation with scientific-schematics and generate-image, deep integration with research-lookup for data gathering, and multi-framework strategic analysis including Porter Five Forces, PESTLE, SWOT, TAM/SAM/SOM, and BCG Matrix.

micsapp Skill

Prepare for a sales call with account context, attendee research, and suggested agenda. Works standalone with user input and web research, supercharged when you connect your CRM, email, chat, or transcripts. Trigger with "prep me for my call with [company]", "I'm meeting with [company] prep me", "call prep [company]", or "get me ready for [meeting]".

micsapp Bundle

This skill should be used when the user asks to "기술 의사결정", "뭐 쓸지 고민", "A vs B", "비교 분석", "라이브러리 선택", "아키텍처 결정", "어떤 걸 써야 할지", "트레이드오프", "기술 선택", "구현 방식 고민", or needs deep analysis for technical decisions. Provides systematic multi-source research and synthesized recommendations.

micsapp Bundle

Implements Manus-style file-based planning to organize and track progress on complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when asked to plan out, break down, or organize a multi-step project, research task, or any work requiring >5 tool calls. Supports automatic session recovery after /clear.

micsapp Skill

Research a prospect first, then draft personalized outreach. Uses web research by default and can be enhanced with enrichment/CRM/email connectors. Trigger with "draft outreach to [person/company]", "write cold email", or "reach out to [name]".

micsapp Skill

Research a company or person and get actionable sales intel. Works standalone with web search, supercharged when you connect enrichment tools or your CRM. Trigger with "research [company]", "look up [person]", "intel on [prospect]", "who is [name] at [company]", or "tell me about [company]".

micsapp Bundle

This skill should be used when the user asks to "유튜브 정리", "영상 요약", "transcript 번역", "YouTube digest", "영상 퀴즈", or provides a YouTube URL for analysis. Extracts transcript, generates summary/insights/Korean translation, and tests comprehension with 9 quiz questions across 3 difficulty levels. Optional Deep Research for web-based follow-up.

micsapp Skill

Architecture-aware project initialization combining online research with archetype selection. project initialization, new project, architecture decision, project setup, which architecture, choose architecture, project architecture Use when: initializing a new project and need to select an appropriate architecture based on project type, team size, domain complexity, and current best practices DO NOT use when: architecture is already decided - use project-init instead.