Research & Search

gabrielmoreira Skill

Maps whether a biomedical research topic, subtopic, or study angle is truly saturated, superficially crowded, strategically occupied, or still open for differentiated entry. Use this skill when a user wants to know whether a hot medical research direction is already overworked, whether meaningful whitespace remains, whether major groups have already occupied the obvious claims, and whether the timing window is still open. Always distinguish popularity from true saturation, and distinguish cosmetic novelty from meaningful differentiating entry.

gabrielmoreira Skill

Manuscripts evolve terminology that may not match what was actually administered:

gabrielmoreira Skill

Generates complete FAERS pharmacovigilance study designs for one-drug whole-profile safety mapping using signal detection, subgroup analysis, onset/seriousness characterization, and conservative label-gap interpretation.

gabrielmoreira Skill

Prepare international shipment document research for commercial invoices, packing lists, transport documents, certificates, filings, and review boundaries.

gabrielmoreira Skill

Generates complete FAERS pharmacovigilance study designs for multi-drug or class-level safety comparison inside one predefined SOC or AE family using active comparators, disproportionality analysis, subgroup characterization, and reviewer-facing evidence control.

gabrielmoreira Bundle

Develop high-performance C/C++ plugins for Stata using the stplugin.h SDK. Use when the user asks to create a Stata plugin, write C/C++ code for Stata, accelerate a Stata command with C, build cross-platform Stata plugins, or translate/port a Python or R package into Stata. Covers the full lifecycle: SDK setup, data flow, memory safety, .ado wrappers with preserve/merge, cross-platform compilation, performance optimization (pthreads, pre-sorted indices, XorShift RNG), debugging, and distribution via net install. Also includes a translation workflow for porting Python/R packages to Stata — wrapping existing C++ backends when available, or writing C from scratch when not.

gabrielmoreira Skill

Generates complete conventional single-gene oncology research designs from a user-provided cancer context, target gene, and validation direction. Use when a study centers on a fixed candidate gene and needs expression, prognosis, clinicopathologic association, functional interpretation, immune context, genomic or epigenetic context, optional drug-response hypotheses, and orthogonal validation. Covers five study patterns and always outputs Lite / Standard / Advanced / Publication+ with a recommended primary plan, stepwise workflow, figure plan, validation hierarchy, minimal executable version, publication upgrade path, and strictly verified literature retrieval.

gabrielmoreira Skill

Generates complete reference-grounded single-drug adverse-effect network-pharmacology research designs from a user-provided drug, adverse event, and desired evidence depth. Always use this skill when a user wants to design, plan, or upgrade a conventional network-pharmacology study centered on one fixed drug and one fixed adverse-effect endpoint, using drug-target prediction, adverse-event target collection, overlap analysis, PPI hub prioritization, enrichment interpretation, molecular docking, and optional orthogonal transcriptomic or literature validation. Covers five study patterns (canonical hub-first, cardiotoxicity or electrophysiology-oriented, immune-inflammatory adverse effect, organ-toxicity pathway context, translational validation) and always outputs four workload configs (Lite / Standard / Advanced / Publication+) with a recommended primary plan, dependency/evidence map, step-by-step workflow, figure plan, validation strategy, minimal executable version, publication upgrade path, verified-referen

gabrielmoreira Skill

Generates complete dual-disease shared-transcriptome biomarker and hub-gene research designs from a user-provided disease pair and shared-biology direction. Always use this skill whenever a user wants to design, plan, or build a non-oncology two-disease transcriptome study centered on per-disease differential expression, shared-signal intersection or concordance, PPI-based hub-gene prioritization, diagnostic evaluation across both diseases, immune infiltration context, pathway interpretation, and optional orthogonal validation. Covers five study patterns (shared-DEG-first workflow, hub-gene-first shared-biomarker workflow, hybrid shared-biomarker compression workflow, immune-context shared-biomarker workflow, orthogonal validation workflow) and always outputs four workload configs (Lite / Standard / Advanced / Publication+) with recommended primary plan, step-by-step workflow, figure plan, validation strategy, minimal executable version, publication upgrade path...

gabrielmoreira Skill

Generates complete reference-grounded single-drug adverse-effect network-pharmacology research designs from a user-provided drug, adverse event, and desired evidence depth. Always use this skill when a user wants to design, plan, or upgrade a conventional network-pharmacology study centered on one fixed drug and one fixed adverse-effect endpoint, using drug-target prediction, adverse-event target collection, overlap analysis, PPI hub prioritization, enrichment interpretation, molecular docking, and optional orthogonal transcriptomic or literature validation. Covers five study patterns (canonical hub-first, cardiotoxicity or electrophysiology-oriented, immune-inflammatory adverse effect, organ-toxicity pathway context, translational validation) and always outputs four workload configs (Lite / Standard / Advanced / Publication+) with a recommended primary plan, dependency/evidence map, step-by-step workflow, figure plan, validation strategy, minimal executable version, publication upgrade path, verified-referen

gabrielmoreira Skill

Generates complete comparative network-toxicology research designs from a user-provided exposure pair, shared toxic phenotype, and validation direction. Use when a study centers on two related exposures under one outcome and needs target collection, shared-vs-specific target decomposition, enrichment, PPI hub prioritization, docking, optional transcriptomic cross-checks, and conservative mechanistic synthesis. Covers five study patterns and always outputs Lite / Standard / Advanced / Publication+ with a recommended primary plan, stepwise workflow, figure plan, validation hierarchy, minimal executable version, publication upgrade path, and strictly verified literature retrieval.

gabrielmoreira Skill

Generates complete single-compound network-toxicology research designs from one exposure, one disease or toxic phenotype, and a validation direction. Use when a study centers on one compound–one disease link and needs target collection, overlap construction, enrichment, PPI hub prioritization, docking, optional transcriptomic cross-check, and conservative mechanistic synthesis. Covers five study patterns and always outputs Lite / Standard / Advanced / Publication+ with a recommended primary plan, stepwise workflow, figure plan, validation hierarchy, minimal executable version, publication upgrade path, and strictly verified literature retrieval.

majiayu000 Bundle

This skill should be used when the user asks to "search Google Scholar", "find academic papers", "scholar search", "lookup papers", "find citations", "academic search", "search for papers by author", "find journal articles", "get BibTeX", "cite this paper", "download paper", or needs to search Google Scholar for academic literature via the scholar CLI tool.

majiayu000 Bundle

Read and comprehend story text, summarize characters, relationships, plots, organize into fluent outline. Suitable for quickly understanding story core, providing outline foundation for script creation

majiayu000 Bundle

Deep research with cross-verification and source tiering. Use when investigating technologies, comparing tools, fact-checking claims, evaluating architectures, or any task requiring verified information. Triggers on "조사해줘", "리서치", "research", "investigate", "fact-check", "비교 분석", "검증해줘".

majiayu000 Bundle

Pre-search topic resolution. Maps vague queries to concrete entities (GitHub orgs, X handles, subreddits, docs URLs) before searching. Run as first step of any research workflow to dramatically improve search precision.

majiayu000 Bundle

多AI并行深度研究。当用户需要对某个主题进行全面调研、深度研究、多方对比、或需要覆盖多个维度和来源的综合分析时触发。适合复杂主题（技术选型、竞品分析、行业趋势、争议性话题等），不适合简单事实查询。通过多个AI服务并行研究，交叉验证，输出带引用的综合报告。

majiayu000 Bundle

Enter explore mode - a thinking partner for exploring ideas, investigating problems, and clarifying requirements in {{engine_name}} projects. Use when the user wants to think through something before implementing, investigate architecture, compare approaches, analyze systems, research patterns, or understand existing code. Activate when user says "explore", "investigate", "research", "let's think about", "compare options", "analyze system", "how does X work", or wants to deeply understand something before coding. Also use when discussing {{engine_name}} architecture decisions, Zenject bindings, game system design, or any topic requiring deep analysis without immediate implementation.

majiayu000 Bundle

Show all emails from a specific person, email address, or domain. Summarize the relationship and communication history. Use when user asks about emails from someone, or wants to see what a specific sender has sent them. Arguments: person name, email address, or domain (e.g. "john@company.com", "amazon.com", "my boss Sarah").

majiayu000 Bundle

Generate, format, and validate academic citations following APA 7th Edition (2019) guidelines. Use when user requests: citations, reference lists, bibliographies, in-text citations, or mentions "APA style", "APA format", "APA 7", "cite this", "reference list", academic references, or scholarly sources. Handles all source types: books, journals, websites, AI tools, social media, videos, podcasts, government documents, and edge cases. Can check/correct existing citations and generate complete reference lists from research materials.

majiayu000 Bundle

Execute research tasks autonomously by searching for sources, evaluating reliability, ingesting content, and resolving knowledge gaps

majiayu000 Bundle

Investigate the @openai/codex-sdk API by first inspecting installed .d.ts typings in node_modules, then cloning and searching the github.com/openai/codex repo for source/docs. Use for questions about Codex SDK API surface, types, response formats, threads/runs, or debugging codex-sdk behavior.

majiayu000 Bundle

Use when creating a new walkerOS destination. Example-driven workflow starting with research and examples before implementation.

majiayu000 Bundle

Create, edit, and sync CV content using the knowledge base as source of truth. Unified skill for case studies, blog posts, experience updates, and variant content. Replaces cv-content-generator and cv-content-editor.

majiayu000 Bundle

Query the CV knowledge base to find achievements, stories, and metrics by theme, skill, company, or keyword. Use when user asks about experience, wants to find specific accomplishments, or needs data for content generation.

majiayu000 Bundle

Build persistent project knowledge using checkpoint/recall. Activates when fixing bugs, making decisions, or investigating past work. Creates automatic knowledge base through systematic checkpointing and semantic recall.

majiayu000 Bundle

Phase 2 of disciplined development. Creates implementation plans based on approved research. Specifies file changes, function signatures, test strategy, and step sequence. Requires human approval before implementation.

majiayu000 Bundle

Research and add new strategic frameworks to the system (meta-skill). Use when user wants to add framework not in library; discovered new framework in their domain; asks "Can you add [Framework]?"; or no existing framework fits their need. Uses web search for comprehensive research, validates quality, creates framework files, and integrates into system.

majiayu000 Bundle

Skill for analyzing and improving compliance in the dismech knowledge base. Use this skill when checking disorder file completeness, identifying missing fields (ontology terms, evidence, descriptions), understanding weighted priority scoring, and systematically improving knowledge base coverage.

majiayu000 Bundle

Skill for validating and repairing evidence references in the dismech knowledge base. Use this skill when working with evidence items in disorder YAML files, validating that snippet text matches PubMed abstracts, and repairing misquoted or fabricated evidence. Critical for ensuring scientific accuracy and preventing AI hallucinations.

majiayu000 Bundle

Scan and catalog document collections with metadata extraction, categorization, and statistics. Use for auditing document libraries, preparing for knowledge base creation, or understanding large file collections.

majiayu000 Bundle

Systematically populate the Forgetful knowledge base using Serena's LSP-powered symbol analysis for accurate, comprehensive codebase understanding.

majiayu000 Bundle

Transforms research findings into executive-ready briefings. Automatically activated when user mentions 'executive', 'briefing', 'C-suite', 'board', 'leadership', or 'presentation'.

majiayu000 Bundle

Build executive presence through intentional personal brand development using Gartner research methodology

majiayu000 Bundle

Given a research goal, use existing skills, training reports, and references to propose a small, concrete experiment plan.

majiayu000 Bundle

Advanced product idea validation through comprehensive market research, competitive analysis, demand verification, technical feasibility assessment, and monetization potential analysis. Use when evaluating startup ideas, SaaS concepts, or any new product before development begins. Provides data-driven scoring and actionable recommendations.